[Hiring] Senior Product Engineer, Agent Systems @Mactores

Role Description

As Senior Product Engineer on Aedeon's Agent Systems team, you'll build the agents that do the actual modernization work. Aedeon's product surface is the agent fleet itself: parsers that read legacy estates, extractors that lift business rules out of code, synthesizers that stand up agentic workflows, verifiers that produce behavior-equivalence proof. You'll design and ship those agents.

Aedeon is product-led, not services-led. The agents you build are the product. They run against the Code Intelligence Graph, a persistent semantic representation of the customer's estate, and operate under governed autonomy with shadow, supervised, and autonomous stages. You'll write Python every day, orchestrate frontier foundation models through the Aedeon Decision Model, and ship into the same release discipline the rest of the product team holds.

This role does not require prior Bedrock or LangChain experience. It requires a strong Python engineer who treats agent frameworks as something to learn deeply, not a buzzword. Aedeon is technically demanding, with real enterprise customers in regulated industries and audit chains that must stay intact. We're looking for someone who writes Python they'd be proud to read in a year, treats test cases as a first-class deliverable, and uses AI tools to do the job better and faster.

Qualifications

• Strong Python (4+ years production), async (asyncio), performance optimization, idiomatic code.
• Solid grasp of distributed systems concepts: state machines, retries, idempotency, eventual consistency.
• Experience integrating with LLM APIs (Anthropic, OpenAI, or similar) from production code: streaming, function calling, structured output, retries, prompt management.
• Comfort with FastAPI or equivalent async web frameworks.

Requirements

• Build and ship specialized agents in the Aedeon fleet: parsers, business-rule extractors, dependency mappers, test synthesizers, behavior replayers, and the orchestration that wires them together.
• Design agents that operate against the Code Intelligence Graph rather than generating from priors, so every agent action traces to a line of code.
• Implement governed autonomy: shadow, supervised, and autonomous stages with human-in-the-loop controls at every stage.
• Orchestrate frontier foundation models (Anthropic, OpenAI, Google) through the Aedeon Decision Model: pick the right model for each task, against the right slice of the graph, under explicit governance constraints.
• Own the full delivery of assigned agents from prototype through deployment and post-release validation.
• Commit to sprint and release deadlines. Raise blockers and risks with enough lead time to mitigate them.
• Coordinate with platform and DevOps engineers to keep deployment pipelines clean and repeatable.
• Practice test-driven development. Write the tests for the agent's contract, governance constraints, and equivalence checks before the agent code that satisfies them.
• Build behavior-equivalence verification into every agent: dual-run tests, output diffing, equivalence certificates against production traffic.
• Write detailed test cases before deployment, covering functional flows, edge cases, regression scenarios, and integration touchpoints.
• Use AI tools to generate qualitative test coverage at scale and validate it for completeness.
• Maintain automated test suites (unit, integration, E2E) and integrate them into the CI/CD pipeline.
• Write clear, maintainable Python with adequate documentation. Review pull requests thoroughly and provide constructive feedback.
• Document agent contracts, prompt structures, decision logic, and verification approaches in Confluence or equivalent.
• Share patterns and testing practices across the team. Promote a culture of release discipline and quality.

Benefits

• We care about creating a culture that makes a real difference in the lives of every Mactorian.
• Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

Company Description

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure.