Mactores - Senior Product Engineer - Java/Python

About Aedeon :

Aedeon is the agent-native modernization platform for the enterprise.

We turn the systems already running the business, applications, databases, data platforms, business rules, and workflows, into governed AI agents, grounded in a persistent Code Intelligence Graph of the customer's own code and verified through behavior-equivalence proof.

Aedeon is delivered as a product, not a services engagement, and runs without mandatory forward-deployed engineers.

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

- Agent Systems Development.

- 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.

- Release Ownership.

- 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.

- Verification and Quality.

- 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.

- Collaboration and Documentation.

- 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.

What are we looking for? :

- Core Python and Systems.

- 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.

- Cloud and Infrastructure.

- Working knowledge of AWS services: EKS, ECS Fargate, S3, DynamoDB, Lambda, Secrets Manager, CloudWatch.

- Experience with Docker and Kubernetes: writing Dockerfiles, Helm charts, and Kubernetes manifests.

- Comfort with CI/CD pipelines, GitHub Actions preferred.

- Comfort navigating multi-account AWS environments (dev, uat, prod).

- Testing and Automation.

- Test-driven development as a discipline.

- Tests written before the code, not after.

- Hands-on experience with pytest, integration testing, and E2E testing.

- Ability to design behavior-verification harnesses: dual-run, output comparison, equivalence proof.

- Experience using AI tools (Claude, Copilot, LLM-based test generators) to accelerate and improve test case quality.

- Experience integrating automated tests into CI/CD pipelines.

- Engineering Mindset.

- Test-first, release-disciplined, ownership-driven.

- Strong written and spoken English.

- You'll be in product reviews and customer-impacting design discussions.

- Available to work with US business-hour overlap from India.

You'll be preferred if :

- Agentic AI frameworks: AWS Bedrock AgentCore, Strands SDK, LangChain, or similar.

- Temporal.io or other workflow orchestration engines.

- Graph databases (Neo4j) and Cypher query language.

- Amazon OpenSearch Service or Elasticsearch.

- Java exposure for working with the Java Analyzer component.

- Prior B2B SaaS product work with a structured release process.

- Domain exposure to enterprise modernization: mainframe, SAP, Oracle, or large Java / .NET estates.

(ref:hirist.tech)