Senior Full Stack Software Engineer

We're looking for a Senior Full Stack Software Engineer who is passionate about building high-quality 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 own technical delivery end-to-end, from shaping the architecture of ML-powered applications to leading implementation across cloud services, APIs, and modern front-end frameworks, with Claude Code, the Claude Agent SDK, and the Claude API woven into how you design, build, and ship.

You will act as the technical backbone of your project pod, balancing hands-on development with technical leadership, architectural decision-making, and client-facing collaboration. You'll lead epic-level solution design, mentor developers on how to get the most out of Claude in their day-to-day workflows, contribute to shared internal frameworks and skills/plugins, and help shape how we evaluate and deploy emerging AI engineering tooling.

You will thrive in this role if you are:

• A builder at heart who leans on Claude Code to spin up prototypes in hours and scale them into production-grade systems with confidence.
• Fluent in agentic development patterns. Writing good specs for Claude, structuring repos so AI agents can navigate them, reviewing AI-generated code critically, and knowing when to delegate versus when to hand-code.
• A strong communicator who can translate between business requirements, technical realities, and what modern AI tooling actually makes feasible.
• A decision-maker who brings clarity to ambiguous technical challenges and can evaluate when an LLM-in-the-loop is the right solution versus traditional software.
• Excited by ML-enabled product development and eager to bridge software engineering with intelligent automation and agentic workflows.

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).

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