Key Responsibilities:

Achieve revenue growth and meet yearly revenue targets for your portfolio.

Drive the development of new business and sales opportunities within your designated accounts and region.

Lead and coordinate cross-functional teams, serving as the primary point of contact for sales activities within targeted accounts.

Contribute to the development of new processes, templates, and standards

Build and maintain a diverse portfolio of public sector and healthcare clients to establish sustainable, high-quality recurring revenue.

Advise clients on their AI/ML adoption journeys, recommending the best-fit solutions to meet their business needs and collaborating with internal teams to ensure our clients are delighted.

Demonstrate excellence in pipeline management and hygiene within sales and CRM tools.

Lead the development of contractual agreements and pricing strategies.

Identify and foster partnerships with hyperscalers, consultants, SI, and academic partners to support revenue growth and strengthen solution offerings.

What You Bring:

Passion for the impact AI can have within public sector and healthcare organizations.

7+ years in the public sector and/or healthcare industries and/or enterprise B2B sales, ideally with a focus on professional services or AI applications..

Exceptional interpersonal and leadership skills with experience leading cross-functional teams across the sales lifecycle, including discovery, executive advisory, solution architecture, and post-sales delivery.

Proven success in meeting and exceeding multi-million-dollar quotas.

A demonstrated effort for keeping pace with how AI is and can be applied in the enterprise. Knowledge and consideration for how AI can be applied in the healthcare sector is an asset.

A basic understanding of privacy and/or data policy, particularly as it relates to the public sector and healthcare industries (e.g., FOIP, PIPEDA, PHIA, HIA), and how these considerations shape AI solution design and client conversations.

The adaptability and growth mindset essential to success in a fast-paced tech environment.

Superior communication, client relationship management, and negotiation  skills.

Experience in organizational change management is a plus.

Strong presentation and facilitation skills, with a keen ability to align AI solutions with healthcare-specific needs.

An established client network in healthcare or public sector that enables swift opportunity qualification and pipeline development is a significant asset.

This opportunity is for current students looking for work experience in Winter 2027 (January - April). 

As an Associate Product Manager you will work with the product team on a platform that real clients use every day.

A lot of your focus will be on research and user discovery. Finding out how people actually use our products, where they get stuck, and what that means for what we build next. What you find comes back to the team and informs real decisions. You will use AI and agentic tools throughout, the same way the rest of the team does.

This is a great opportunity for someone looking to grow their product management skills in a collaborative, fast-paced, and AI-driven environment, where you'll help shape the future of how humans and agentic systems work together.

What You'll Do:

• Run user research and discovery. Talk to the people who use our products, sit in on real conversations, and find out where the friction actually is.
• Help make vague things concrete. Chase down the details nobody wrote down.
  Turn what you hear into something the team can use. Clear notes, a short summary, a write-up that helps someone make a decision.
• Translate what you learn into execution. Clear user stories and requirements, simple wireframes or prototypes, and support through the testing and feedback cycles.
• Build something rough and put it in front of a person. Use AI tooling to do it.
• Help get releases out the door. Draft release notes, let clients know what has changed, and follow up with them afterward.
• Share what you learned, including what you would do differently.

What You Bring:

• You want to be part of a product team and you are passionate about creating loveable solutions for customers.
• You like to get feedback early.
• You know that good comes from iterating with real users on a meaningful problem.
• You have used AI tooling like Claude and reach for it in your own work. It is how this team works.
• Clear, confident communication and professionalism when engaging with teams and executives.
• Understanding of the product lifecycle and SDLC, from concept through to launch and iteration.

Key Responsibilities:

• Collaborate with senior developers to design, build, and test software solutions that address the needs of the agricultural sector.
• Contribute to coding, debugging, and documenting software applications.
• Assist in the development of new features, from initial concept to deployment.
• Assist in research and development for improvements to our AI powered Assistant.
• Help optimize and improve the performance of existing software systems.
• Participate in code reviews and contribute to improving development processes and best practices.
• Test software functionality and troubleshoot issues as they arise.
• Collaborate with cross-functional teams, including product managers and data scientists, to align technical solutions with business objectives.
• Stay up to date with the latest trends and technologies in software development and agriculture.

Qualifications:

• Pursuing a degree in Computer Science, Software Engineering, or a related field.
• Proficiency in one or more programming languages, such as C#, Python, C++, or JavaScript.
• Familiarity with version control tools (e.g., Git).
• Strong problem-solving skills and attention to detail.
• Excellent communication skills and the ability to work well in a team environment.
• A genuine interest in agriculture, sustainability, and technology.
• Previous internship or personal project experience related to software development is a plus.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) or data processing tools is a plus, but not required.
• Understanding of software development methodologies (e.g., Agile, Scrum) is desirable.

What We Offer:

• Hands-on experience working on real-world projects that have a tangible impact on the agricultural industry.
• Opportunity to work with a passionate and innovative team in an exciting startup environment.
• Mentorship and guidance from experienced engineers and leaders in the AgTech space.
• A collaborative, flexible, and dynamic work environment.
• Potential for full-time opportunities based on performance.

Participating Universities: This opportunity is currently open to anyone that is currently enrolled at the U of Alberta, U of Calgary, U Waterloo, U of Toronto. As this is a Mitacs funded opportunity, please reach out if you have questions regarding your eligibility.

What you'll do:

• Develop and maintain high-quality, well-documented code across both frontend and backend systems.
• Troubleshoot and resolve bugs, integration issues, and performance bottlenecks in production and staging environments.
• Implement new features and enhancements, particularly those that improve dashboard usability and data visibility.
• Collaborate closely with cross-functional teams to translate technical requirements into scalable solutions.
• Leverage AI and agentic development tools to automate testing, improve code efficiency, and streamline CI/CD pipelines.
• Contribute to technical documentation, code reviews, and agile workflows to ensure strong engineering practices and maintainable codebases.
• Stay current on software trends, frameworks, and architectures — bringing new ideas to strengthen our agentic infrastructure.

What you bring:

Progress toward a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Proficiency in one or more modern programming languages such as Python, JavaScript, TypeScript, or Node.js.
Solid understanding of the Software Development Life Cycle (SDLC) and agile methodologies.
Familiarity with frontend frameworks (React, Vue) or backend technologies (APIs, databases, microservices, or cloud infrastructure).
Exposure to machine learning concepts or experience working with agentic systems is an asset.
Strong problem-solving, debugging, and analytical skills, with a focus on clean, maintainable code.
A collaborative mindset and the ability to learn quickly in a dynamic, evolving technical environment.

Commercial Contracts & Compliance

Draft, review, and negotiate a broad range of commercial agreements, including client statements of work, master services agreements, NDAs, procurement and vendor contracts, and partnership agreements

Develop and maintain contract templates, playbooks, and approval workflows so routine agreements can move quickly even with limited legal bandwidth

Monitor and ensure compliance with applicable laws, regulations, and industry standards across the jurisdictions AltaML operates in

Advise internal stakeholders (Sales, Delivery, People) on contractual and regulatory questions

Corporate Governance

Maintain corporate records, entity structures, and statutory filings across all AltaML entities

Ensure compliance with corporate governance obligations and internal policies

Support the development and maintenance of internal legal policies and procedures

Board & Investor Relations

Prepare board materials, resolutions, and minutes in coordination with the CFO and executive team

Support investor relations activities, including due diligence processes, disclosure schedules, and shareholder communications

Manage cap table administration, including equity issuances, option grants, and related documentation, in partnership with Finance

Transaction Support

Lead or support legal workstreams on corporate transactions, including financings, M&A, joint ventures, and strategic partnerships

Manage due diligence processes (both as a target and as an acquirer), including data room preparation and review

Draft and negotiate transaction-related documents (e.g., term sheets, purchase agreements, disclosure schedules) alongside outside counsel

Coordinate cross-functionally with Finance, Sales, and Delivery to ensure transactions close smoothly and post-close obligations are tracked

External Legal Resource Management

Manage relationships with outside counsel across specialty areas (e.g., IP, employment, tax, litigation), including scoping, budgeting, and quality control of external work product

Determine when to handle matters in-house versus engage outside counsel, optimizing for cost and risk — particularly important given limited on-site hours

What You Bring:

J.D. and active membership in good standing with the Law Society of Alberta (or eligibility to obtain Alberta membership, e.g., via NCA accreditation or interprovincial transfer)

5+ years of legal experience, including significant experience in commercial contracting and corporate law; in-house experience strongly preferred

Experience supporting corporate governance matters, board processes, and cap table/equity administration, ideally at a venture-backed or growth-stage company

Working knowledge of technology, SaaS, or professional services contracting

Demonstrated ability to manage outside counsel effectively and cost-consciously

Prior experience in a fractional, part-time, or portfolio-career legal role is a plus, along with the discipline to prioritize effectively across a limited number of working days

Excellent judgment, discretion, and communication skills; comfortable advising executives and the board directly

Highly organized and self-directed; able to operate as a standalone legal function with minimal internal legal support

What Success Looks Like:

Contract turnaround times remain fast and predictable despite limited weekly hours, supported by strong playbooks and templates

Corporate governance and cap table records are accurate, current, and audit-ready at all times

The board and investors receive clear, timely, well-prepared materials and support, with no gaps caused by part-time availability

Outside counsel spend is well-managed and aligned to matters that genuinely require specialized expertise

The CFO and leadership team have clear visibility into legal priorities and turnaround expectations given the fractional structure

We are looking for a Full Stack Software Engineer who builds software in an AI-native way — someone who treats Claude and the latest agentic coding tools as a core part of their craft, not a novelty. In this role, you will contribute to the technical delivery of ML-powered applications across cloud services, APIs, and modern front-end frameworks, with Claude Code, the Claude API, and agentic workflows woven into how you design, build, and ship.

You will be an active contributor within your project pod, shipping features end-to-end, participating in technical design discussions, and growing your ability to translate business requirements into well-engineered solutions. You will take ownership of your work — writing clean, reviewable code, contributing to shared internal frameworks, and continuously developing your fluency with AI-assisted development.

You will thrive in this role if you are a builder who leans on Claude Code to move fast without cutting corners. You write clear specs, review AI-generated code critically, and know when to delegate to an agent versus when to handcraft. You are curious about where LLMs fit (and where they don’t), and you bring a practical, evidence-based instinct to that question.

What You'll Do:

Full Stack Feature Delivery

• Implement features end-to-end across front-end, back-end, and cloud infrastructure layers, taking ownership from design through deployment

• Build and integrate RESTful APIs and cloud-hosted services, primarily on Azure, following established architecture patterns and security standards

• Develop front-end components using modern JavaScript/TypeScript frameworks, with attention to usability, performance, and maintainability

• Write unit, integration, and API tests as a standard part of delivery — not an afterthought — using frameworks appropriate to the stack (xUnit, Pytest, Postman, or similar)

• Use Docker for local development, environment parity, and containerized deployments

• Manage work in Git with clean branching, meaningful commit history, and effective collaboration with AI agents in the same workflow

LLM Feature Development

• Build features that incorporate LLM calls via the Claude API or Azure OpenAI, including prompt design, context management, response handling, and cost-aware API usage

• Implement RAG components and tool integrations as part of product features, working within established architecture patterns and contributing to their evolution

• Write evaluation harnesses for LLM-powered features: regression tests for prompt behaviour, output quality checks, and agent tool use validation

• Document LLM feature behaviour clearly: what the system does, what it does not do, known failure modes, and the guardrails in place

• Develop growing awareness of when LLM-in-the-loop is the right architecture decision versus a conventional software approach — and contribute that perspective in design discussions

Technical Design & Problem-Solving

• Participate actively in epic-level and feature-level design discussions, contributing well-reasoned proposals backed by research or prototype evidence

• Use Claude to accelerate technical research: explore design alternatives, evaluate libraries, and investigate unfamiliar domains quickly — then synthesize findings into a clear recommendation

• Identify and flag technical risks within your work scope early, with enough supporting detail for the tech lead or architect to make an informed decision

• Produce clear technical documentation: decision records, implementation notes, and design summaries that a future team member can act on

AI-Native Development

• Use Claude Code and AI-assisted development tools (Cursor, GitHub Copilot, and similar) as a standard part of the engineering workflow — for prototyping, code generation, refactoring, documentation, and debugging

• Write clear, well-structured prompts and development specs that enable AI agents to produce useful, reviewable output — not vague instructions that generate noise

• Review AI-generated code with the same rigour as human-authored code: check for correctness, edge cases, security issues, and maintainability before merging

• Develop growing fluency in agentic development patterns: structuring repos for agent navigation, decomposing tasks into agent-friendly units, and knowing when human authorship is the right call

• Contribute to internal discussions on AI tooling effectiveness — share what is working, what isn’t, and help refine the team’s approach

Collaboration & Growth

• Participate in code reviews constructively — give specific, actionable feedback and incorporate peer feedback into your own work without defensiveness

• Collaborate closely with ML engineers, data engineers, and product managers within the pod, understanding adjacent work well enough to minimize integration friction

• Contribute reusable components, utilities, and internal skills to AltaML’s shared libraries

• Engage in sprint ceremonies, stand-ups, and retrospectives as an active team member — raise blockers early, communicate progress clearly, and contribute to continuous improvement

• Proactively seek feedback from peers and tech leads to accelerate your own growth toward senior-level ownership and technical leadership

What You Bring:

• Degree or equivalent work experience in Computer Science, Software Engineering, or a related technical discipline

• 3–5 years of professional full stack development experience, with a track record of shipping production features end-to-end

• Hands-on, daily-driver experience using Claude (Claude Code, claude.ai, or the Claude API), Cursor, or GitHub Copilot for real software engineering work — not just occasional use

• Strong working experience with cloud services, ideally Azure (Functions, App Service, Blob Storage, Azure OpenAI, or similar)

• Proficiency in a modern object-oriented language — C#, Python, TypeScript, or equivalent — with a clear point of view on writing clean, maintainable code

• Experience building and consuming RESTful APIs and integrating third-party services

• Solid front-end experience with a modern JavaScript/TypeScript framework (React, Vue, Angular, or similar)

• Experience writing unit and API tests as a standard part of delivery (xUnit, Pytest, Postman, or similar)

• Comfortable with Docker for local development and containerized deployments

• Proficiency with Git, including working effectively in a branch-based workflow alongside AI agents

• Experience working in an Agile environment with iterative delivery cycles

• Strong written and verbal communication skills — able to articulate technical decisions clearly to peers and participate confidently in client-facing discussions

•  

Nice to Have's:

Experience integrating LLM APIs (Claude, OpenAI, Azure OpenAI) into product features, including prompt design and cost management

Exposure to RAG architectures, vector databases, or tool-augmented LLM workflows

Familiarity with agentic frameworks (LangChain, LangGraph, Autogen, or similar)

Experience writing evaluation harnesses or regression tests for LLM-powered features

Exposure to CI/CD pipelines and automated deployment workflows (Azure DevOps, GitHub Actions, or similar)

Prior experience in a consulting, applied AI, or client-delivery environment

Contributions to open-source projects or internal platforms

About the Role

As a Lead AI Engineer, you will play a key individual contributor role in designing and delivering production-ready AI-powered applications for the Brilliant Harvest platform. Combining deep technical expertise with leadership skills, you will mentor teammates, guide architectural decisions, and ensure the delivery of scalable, high-quality software solutions. Working closely with the VP of AI Engineering and the AI Architect, you will help shape the technical direction of our AI stack — from RAG pipelines and agentic workflows to document ingestion and model integration.

This role is ideal for someone who thrives in a fast-paced environment, loves solving complex problems, and is excited about taking ideas from concept to deployment in a domain where AI is transforming a legacy industry.

Key Responsibilities

Architect & Build

• Design, develop, document, and maintain robust prototypes and scalable production systems, with a focus on applied AI/ML, RAG architectures, and agentic workflows.

• Build and improve document ingestion pipelines that form the knowledge foundation of the platform, ensuring data enrichment, accuracy, and compliance with manufacturer standards.

• Evaluate and integrate LLMs, agent frameworks, and supporting tooling as the frontier model landscape evolves, collaborating with the AI Architect on vendor and model selection.

Technical Leadership

• Participate in and often lead brainstorming sessions, design reviews, code reviews, and architecture evolution discussions, ensuring best practices and long-term technical sustainability.

• Champion coding standards, automated testing, CI/CD practices, and AI-first development workflows (e.g., Claude Code or similar agentic tools) to improve velocity and quality.

• Contribute to the analysis of business requirements, prepare design and implementation recommendations, and provide reliable development effort estimates.

Cross-Functional Collaboration

• Work collaboratively across Product, Data, Design, and QA teams to drive outcomes aligned with business objectives and the product roadmap.

• Review and provide feedback on the technical feasibility of UI/UX designs, ensuring seamless integration with backend systems and AI capabilities.

• Translate data requirements and AI capabilities into clear, actionable specifications, and communicate technical constraints and tradeoffs to non-technical stakeholders.

Mentorship & Team Development

• Provide hands-on guidance, mentorship, and knowledge sharing to junior and intermediate engineers, fostering a culture of learning and innovation — as an individual contributor working alongside them, not as their manager.

• Promote a "Systems Thinking" mindset, helping engineers move from writing code to orchestrating AI-generated solutions.

• Design workflows that use AI to accelerate the growth of junior talent rather than automating them out of the process.

Qualifications & Skills

5+ years of professional software engineering or data science experience, with at least 2 years focused on AI/ML systems in production.

Proven track record deploying generative AI, LLMs, RAG architectures, or document ingestion pipelines with data enrichment in a production environment.

Strong proficiency in Python and at least one of: TypeScript, C# (.NET), or a modern backend language.

Experience with React, React Native, or modern frontend frameworks and how they integrate with AI-powered backends.

Solid understanding of microservices architecture, API design, and cloud infrastructure.

Demonstrated ability to mentor junior engineers and influence technical direction without formal authority.

Experience working in a startup environment is considered a strong asset.

Experience with agentic workflows, prompt engineering best practices, and AI-first development tooling (e.g., Claude Code or similar) is a strong asset.

Familiarity with the agriculture, heavy equipment, or dealership domain is a strong asset.

What Will Set You Apart?

You've built in a startup where the roadmap moved under your feet. You've owned things before they were fully defined, and you know the corner you can cut now from the one that costs you in six months.

You've taken a research-heavy idea and made it survive contact with real users, real data, and real latency and cost budgets. You know which results hold up in production and which quietly fall apart once the inputs get messy.

You understand that RAG lives or dies on retrieval, not generation. When answer quality breaks, you trace it back to why the right document didn't surface — because you know that's usually where it actually broke.

You've built evals from scratch, not inherited a dashboard. You can turn "good answer" into measurable criteria, stand up LLM-as-judge or human-in-the-loop pipelines, and keep them running so regressions get caught before customers do.

Why Join Us?

Be part of a high-performing team led by Remi Schmaltz, an entrepreneur with decades of experience launching and growing agriculture businesses. 

Remote-first role with a flexible work environment.

A front-row seat to how AI is changing the way equipment dealers, farmers, and contractors work.

A collaborative culture that values growth, learning, and impact.

Competitive compensation, ESOP, and benefits.

What You'll Do:

Technical Execution & Oversight
• Guide teams on architectural decisions, set technical direction, and ensure solutions are robust, scalable, and aligned with company standards.
• Remove engineering blockers and facilitate cross-functional technical discussions to keep delivery on track.
• Partner with the delivery team to ensure on-time, on-scope delivery across all active projects.
• Lead or actively participate in cross-pod technical guilds (e.g., Frontend, AI/ML, DevOps).
  
  
People Leadership & Development
• Run regular 1:1s with direct reports focused on career growth, performance, and wellbeing.
• Provide timely, constructive feedback and support individual development plans.
• Foster an inclusive, psychologically safe team environment where engineers can do their best work.

Responsible AI & Quality Assurance

• Ensure models and systems are explainable, fair, and auditable throughout the solution lifecycle.
• Uphold and champion AltaML's Responsible AI (RAI) guidelines and development best practices across all teams.
• Manage end-to-end solution quality in partnership with pod leads, from design through deployment.

Stakeholder & Client Coordination

• Communicate team progress, risks, and outcomes clearly to internal stakeholders and external clients.
• Maintain a strong comms loop with the delivery team to keep project requirements aligned.
• Support pre-sales and business development by providing low-level solution architecture, demos, and technical Q&A on calls.

Resource Planning & Hiring

• Conduct hiring interviews and contribute to candidate assessment for engineering roles.
• Assist with quarterly resource allocation planning across pods.

What You Bring:

• 5+ years of software engineering experience, including at least 2 years in a technical lead or management role.

• Demonstrated ability to drive architectural decisions and maintain engineering quality in a fast-paced delivery environment.

• Experience managing and growing engineers across different levels.

• Comfortable engaging directly with clients and stakeholders—you can translate technical complexity into clear, confident communication.

• Familiarity with AI/ML solutions and modern MLOps or software delivery practices.

• A track record of championing responsible, ethical AI and inclusive team culture.

What We're Looking for

Shipped software people actually use. A portfolio with real products behind it, and you can talk about what users did with them, not just how they looked.

You prototype fast and think in iterations. Figma and AI-assisted design tools, working prototypes over static mocks, and you would rather test three rough versions this week than one polished version next month.

You want to be in discovery. Talking to users is the part of the job you protect, not the part you delegate.

You are good with engineers and good with users, and can move between the two without losing either.

Accessibility is part of your craft. We build for government and public sector clients where accessible design is a requirement, not a nice to have.

You create traction in a fast and sometimes messy environment. This is not a settled design org and it will not be for a while.

Why This Opportunity Matters:

You will be working on new age AI products, helping design the future of how AI gets deployed with our platform. The work is using AI to improve the lives of our customers and making a real difference, ensuring what we build is not just usable but lovable, because lovable is what earns adoption and keeps it. Your prototypes will be in front of real users within weeks of joining, and there is real room to grow here as the design practice grows around you.

What You'll Do:

Acquire new AEC enterprise clients and expand existing accounts across Canada and the U.S.

Sell AI services and applied AI solutions to C-suite buyers (COO, CTO, CFO) and functional leaders in Pre-Construction, Project Controls, and VDC

Own the full sales cycle: sourcing, qualifying, navigating complex multi-stakeholder deals, and closing

Apply MEDDIC and Challenger methodologies — not as buzzwords, but as how you actually sell

Partner with AltaML's delivery and solutions teams to ensure what you sell gets built and lands well

Contribute to AltaML's go-to-market strategy in AEC as a founding voice in the vertical

What You Bring:

Deep experience selling enterprise technology into the AEC industry (Construction Tech / ConTech is a must)

An established executive network — you can get in the room without cold outreach

A track record of consistently hitting or exceeding a $2M+ annual quota

Fluency in MEDDIC and Challenger sales frameworks

The ability to sell across borders — Canada and the U.S. are both in play

Comfort operating in a fast-moving, high-ownership environment where you set your own pace

What You'll Do:

Reduced Project Risk: Technical risks on projects are significantly reduced through proactive ownership of epic-level technical design, execution, and cross-team dependency resolution accelerated by effective use of Claude for research, code review, and rapid exploration of design alternatives.
Improved Technical Decision-Making: The team makes better technology choices through thorough research, evaluation, and documentation of potential solutions, including informed decisions on when and how to apply Claude, MCP servers, and agentic tooling versus conventional approaches.
Stronger Client Confidence: Client and stakeholder confidence is increased by leading technical discovery sessions and acting as a technical SME during project discussions, including on the pragmatic use of LLMs and AI-assisted development in client deliverables.
Feature & Epic Implementation: Leads implementation for features spanning multiple user stories or services, using Claude Code and agent-driven workflows to accelerate delivery without sacrificing quality.
Architecture & Solution Design: Leads the architecture design for moderately complex solutions, often involving multiple services or systems, and chairs technical reviews including architecting LLM-powered features, agent tool integrations, and MCP server designs.
AI Engineering Leadership: Champions best practices for working with Claude across the pod, prompt design, skill and subagent creation, context management, MCP integrations, evaluation of AI-generated code, and secure / cost-aware usage of the Claude API.
Mentorship & Technical Leadership: Provides technical leadership within the pod, mediates code review disputes, contributes new features and skills to shared AltaML libraries, and assists in the hiring process by conducting technical interviews. Coordinates the work of other engineers and levels them up on modern AI-assisted development.
Client Engagement & Discovery: Leads technical discovery sessions with clients to clarify requirements, define technical scope, and identify where Claude-powered features or agentic workflows unlock real product value.
Testing & Quality Strategy: Implements higher-level testing strategies, including integration and end-to-end tests for deployed solutions, plus evaluation harnesses for LLM-powered features (regression tests for prompts, agent behaviours, and tool use).

What You Bring:

Degree or equivalent work experience in Computer Science, Software Development, or similar
5+ years of experience as a full stack developer
Demonstrable, hands-on experience using Claude (Claude Code, claude.ai, or the Claude API) as a daily driver for real software engineering work, not just casual chat use
Proven skills at taking ideas from conception to production, including shipping features that are partly or fully built with AI-assisted workflows
Strong working experience with Cloud Services (ideally Azure)
Strong working experience in a modern object-oriented language
Strong working experience writing clean, readable, and easily maintainable code, and a clear point of view on reviewing and hardening AI-generated code
Experience with Unit and API testing (e.g., xUnit, Postman, or others)
Experience working in an agile environment
Experience with Docker
Proficiency with Version Control systems (VCS), including working effectively with AI agents in a git-based workflow