Senior Product Engineer, Agent Systems
- Role
- Backend
- Experience
- Senior
- Employment
- Full-time
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior Product Engineer needed for Agent Systems team. You will build agents that perform enterprise modernization work, including parsers, extractors, synthesizers, and verifiers. Requires strong Python skills and a deep understanding of agent frameworks. Experience with regulated industries and maintaining audit chains is crucial.
Core skills
Optional skills
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.
About Aedeon 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.
What you'll do
- Build the agents that do the actual modernization work.
- Design and ship agents: 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.
- Write Python every day.
- Orchestrate frontier foundation models through the Aedeon Decision Model.
- Ship into the same release discipline the rest of the product team holds.
What they require
- 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.
Benefits
- Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
- We care about creating a culture that makes a real difference in the lives of every Mactorian.
- 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.
Mactores is the agent-native AWS modernization firm.