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Senior Product Engineer, Agent Systems

2 weeks, 6 days ago
India
Full-time
Senior
Full-stack Engineer
Software Development
AWS CI/CD Confluence Docker DynamoDB Elasticsearch FastAPI GitHub Actions Helm Java Kubernetes Neo4j .NET Oracle Pytest Python SAP
Apply Now
Mactores

Mactores

Mactores provides data analytics solutions and services that empower businesses to enhance their operational efficiency and value through automation and advanced technologies such as AI, Big Data, and cloud computing.

IT Services
51-250
Founded 2003
View All Jobs 27

Description

  • Build and ship specialized agents for parsing legacy systems, extracting business rules, mapping dependencies, synthesizing tests, replayers, and orchestration workflows.
  • Design agents to operate against the Code Intelligence Graph so that every action is traceable to source code.
  • Implement governed autonomy with shadow, supervised, and autonomous stages and human-in-the-loop controls.
  • Orchestrate frontier foundation models through the Aedeon Decision Model under explicit governance constraints.
  • Own the full delivery of assigned agents from prototype through deployment and post-release validation.
  • Coordinate with platform and DevOps engineers to keep deployment pipelines clean, repeatable, and reliable.
  • Practice test-driven development by writing tests before implementation and building verification into every agent.
  • Develop behavior-equivalence verification mechanisms such as dual-run tests, output diffing, and equivalence certificates.
  • Maintain automated unit, integration, and end-to-end test suites and integrate them into CI/CD pipelines.
  • Review pull requests, document agent contracts and verification approaches, and share testing practices across the team.

Requirements

  • 4+ years of production Python experience with strong async programming skills and idiomatic, performance-conscious code.
  • Solid understanding of distributed systems concepts such as state machines, retries, idempotency, and eventual consistency.
  • Production experience integrating with LLM APIs such as Anthropic, OpenAI, or similar, including streaming, function calling, structured output, retries, and prompt management.
  • Comfort working with FastAPI or an equivalent async web framework.
  • Working knowledge of AWS services including EKS, ECS Fargate, S3, DynamoDB, Lambda, Secrets Manager, and CloudWatch.
  • Experience with Docker and Kubernetes, including Dockerfiles, Helm charts, and Kubernetes manifests.
  • Comfort with CI/CD pipelines, preferably GitHub Actions, and multi-account AWS environments across dev, uat, and prod.
  • Hands-on experience with pytest, integration testing, end-to-end testing, and integrating automated tests into CI/CD pipelines.
  • Ability to design behavior-verification harnesses using dual-run, output comparison, and equivalence proof techniques.
  • Strong written and spoken English and availability to work with US business-hour overlap from India.
  • Preferred: experience with agentic AI frameworks such as AWS Bedrock AgentCore, Strands SDK, LangChain, or similar.
  • Preferred: experience with Temporal.io or other workflow orchestration engines.
  • Preferred: experience with graph databases such as Neo4j and Cypher.
  • Preferred: experience with OpenSearch or Elasticsearch.
  • Preferred: Java exposure for working with a Java Analyzer component.
  • Preferred: prior B2B SaaS product experience with a structured release process.
  • Preferred: domain exposure to enterprise modernization involving mainframe, SAP, Oracle, or large Java/.NET estates.

Benefits

  • Full-time remote role.
  • Opportunity to work on a product-led AI modernization platform for enterprise customers.
  • Work on technically demanding systems with regulated-industry customers and audit-sensitive workflows.
  • Structured recruitment process with a pre-employment assessment, managerial interviews, and an HR discussion.
  • Equal opportunity employment practices and non-discriminatory hiring policies.

Interested in this position?

Apply directly on the company website

Apply Now

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