Mactores1mo ago

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Senior Product Engineer, Agent Systems

Marshall Islands·MumbaiRemoteFull time (Remote)senior

EngineeringProduct Engineer

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Quick Summary

Key Responsibilities

field delivery surfaces the edge cases, the platform roadmap absorbs them, and your agents get better against real enterprise estates, not benchmarks.

Technical Tools

EngineeringProduct Engineer

About Mactores

Mactores is the agent-native AWS modernization firm. Most enterprise modernization stalls at pilots and handoffs; ours ships, production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, Aedeon Inc. Aedeon absorbs the repetitive 60–70% of engagement work, discovery, mapping, validation, test generation, while forward-deployed engineers own architecture, judgment, and cutover. Mactores is Aedeon's flagship deployment partner: field delivery informs the platform roadmap, and the platform shapes how we deliver.

Aedeon is the agent platform for enterprise modernization, built by Aedeon Inc., a separate product company founded by the same team that founded Mactores. Aedeon turns the systems already running a business applications, databases, data platforms, business rules, 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.

Agents that generate plausible code from priors are easy. Agents that modernize a regulated enterprise's estate and can prove the new behavior matches the old, are the hard problem. That's the problem this team owns.

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. This is product engineering, not services delivery. 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: 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.

You don't need prior Bedrock or LangChain experience. You need to be a strong Python engineer who treats agent frameworks as something to learn deeply, not a buzzword. The customers are real enterprises in regulated industries, with 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.

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: the right model for each task, against the right slice of the graph, under explicit governance constraints.

Own the delivery of your 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 functional flows, edge cases, regression scenarios, 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 give constructive feedback.

Document agent contracts, prompt structures, decision logic, and verification approaches in Confluence or equivalent.

Share patterns and testing practices across the team. Hold the bar on release discipline and quality.

Strong Python (4+ years production): async (asyncio), performance optimization, idiomatic code.

A 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.

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).

Test-driven development as a discipline. Tests written before the code, not after.

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

The 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.

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.

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

Temporal.io or other workflow orchestration engines.

Graph databases (Neo4j) and the 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.

Aedeon is product-led. You ship agents into a release cadence, not into billable hours and what you ship gets exercised hard, because Mactores deploys Aedeon across its engagements as the platform's flagship deployment partner. That loop is what makes the job compound: field delivery surfaces the edge cases, the platform roadmap absorbs them, and your agents get better against real enterprise estates, not benchmarks. Every claim an agent makes has to trace to a line of code, and every behavior change has to carry proof. If that standard sounds like the interesting part rather than the annoying part, you'll fit here.

Life at Mactores

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.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers

The Path to Joining the Mactores Team

At Mactores, our recruitment process is built around distinct structured stages. Here's an overview of what to expect at each stage:

Take-home Assessment:

A technical task relevant to the role, so you can demonstrate your thinking and approach at your own pace.

Technical Interview:
A hands-on session with one of our panel members covering your technical skills, hands-on experience, and how you deliver quality under pressure.

Panel Interview:
A structured conversation with members of the hiring team covering your experience, product thinking, and how you work.

HR Discussion:
During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

Note: Please answer as many questions as possible with this application to accelerate the hiring process.