Senior Product Engineer, Agent Systems

Ovii's Interpretation of the Role

Senior Product Engineer building AI‑driven agents for Mactores' Aedeon platform. The role is remote‑first, based in Mumbai, and requires strong Python and cloud engineering skills to deliver production‑grade agents end‑to‑end.

Role Snapshot

• Senior Product Engineer
• Agent Systems team
• Python‑centric development
• Remote (Mumbai)
• Full‑time

Must-Have Requirements

• Python
• Asyncio
• FastAPI
• AWS services
• Docker
• Kubernetes
• CI/CD pipelines
• LLM integration
• Test‑driven development
• Python production development
• Async programming
• Distributed systems concepts
• LLM API integration
• AWS cloud services
• Container orchestration

Nice-to-Have Signals

• Agentic AI frameworks (Bedrock, LangChain, Strands SDK)
• Temporal.io workflow engine
• Graph databases (Neo4j, Cypher)
• OpenSearch / Elasticsearch
• Java exposure
• B2B SaaS product experience
• Domain exposure to mainframe, SAP, Oracle, large Java/.NET estates
• AI‑assisted testing tools (Claude, Copilot)
• Agentic AI frameworks
• Workflow orchestration engines
• Graph database usage
• Search engine integration
• B2B SaaS product lifecycle

Work Setup

• Location: Mumbai, India
• Work mode: REMOTE
• Remote scope: UNSPECIFIED
• Timezone: US business‑hour overlap
• Employment type: Full-Time

Application Requirements

• Coding test mentioned
• Assessment mentioned

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility specifics
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and ship specialized agents (parsers, extractors, synthesizers, verifiers) that operate on the Code Intelligence Graph.
• Implement governed autonomy with shadow, supervised, and autonomous stages, including human‑in‑the‑loop controls.
• Orchestrate frontier foundation models via the Aedeon Decision Model, selecting appropriate models per task.
• Own full delivery lifecycle of assigned agents—from prototype through deployment, release, and post‑release validation.
• Write test‑first code, build behavior‑verification harnesses, and maintain automated test suites integrated into CI/CD pipelines.
• Collaborate with platform and DevOps engineers to keep deployment pipelines repeatable and clean.
• Document agent contracts, prompt structures, and verification approaches; share patterns across the team.

Good Fit If You Have

• Strong Python production experience (4+ years) with clean, maintainable code.
• Hands‑on async programming and performance tuning expertise.
• Proven ability to write test‑first code and manage CI/CD pipelines.
• Comfortable working with AWS services, Docker, and Kubernetes.
• Excellent written and spoken English; able to overlap US business hours.