- 5+ years of experience building production-grade systems with end-to-end ownership
- Strong expertise in Python and software engineering best practices
Role Description:
Join a horizontal engineering team supporting 600+ application teams on a mission to elevate engineering maturity across the organization. This team drives standards, guidelines, platform capabilities, and large-scale technical debt remediation.
In this role, you will develop advanced agentic AI workflows to automatically analyze codebases, detect technical debt, and generate high-quality fixes—from vulnerability patches to dependency and language upgrades. This is a hands‑on, high‑impact opportunity to shape the future of automated software modernization.
Key Responsibilities:
- Design, develop, and maintain LLM‑powered multi‑agent workflows for code analysis, remediation proposals, and safe patch generation
- Implement agentic patterns such as planning/execution loops, tool orchestration, sandboxing, guardrails, and failure recovery
- Build scalable automation systems for technical debt remediation, including language/runtime upgrades, dependency modernization, vulnerability patching, and configuration drift correction
- Collaborate with Developer Experience and Platform teams to define engineering standards and reusable best practices
- Architect and optimize RAG pipelines, including chunking strategies, embeddings, hybrid search, reranking, and retrieval policies
- Develop evaluation frameworks for LLMs, RAG, and multi‑agent workflows, including offline datasets, validation metrics, statistical testing, and A/B experiments
- Contribute to backend systems using Python, distributed systems, microservices, PostgreSQL, DBT, vector databases, caching, streaming, and queueing technologies
- Build CI/CD pipelines, observability dashboards, and conduct performance analysis across model, retrieval, and network layers
- Work cross‑functionally with product, platform, and security teams to take prototypes to production‑grade services
- Communicate effectively with stakeholders, produce high‑quality technical documentation, and mentor junior engineers
Must‑Have Qualifications:
- 5+ years of experience building production‑grade systems with end‑to‑end ownership
- Expertise in Python, software engineering best practices, testing strategies, CI/CD, and system design
- Hands‑on experience shipping LLM‑powered features (e.g., autonomous workflows, function calling) with measurable reliability or latency improvements
- Strong understanding of multi‑agent architectures including planners, executors, and tool routing
- Deep knowledge of RAG systems: chunking, embeddings, vector/hybrid search, retrieval policies
- Experience evaluating LLMs and agent workflows using statistical reasoning and validation techniques
- Proficiency with AWS (Lambda, ECS/EKS, S3, API Gateway, EC2, IAM) and Infrastructure‑as‑Code
- Experience with observability tools (e.g., Datadog) covering logging, tracing, and metrics
- Familiarity with PostgreSQL, DBT, data modeling, schema evolution, and performance tuning
- Knowledge of vector databases such as Pinecone or pgvector
- Experience designing or optimizing CI/CD pipelines (GitHub Actions or similar)
- Proven track record in application modernization, dependency management, and technical debt reduction
- Ability to rapidly prototype, validate, and transition solutions into production
Preferred Skills:
- Experience designing agent infrastructure with sandboxing, tool isolation, and fail‑safe execution
- Background in large‑scale platform engineering or developer experience tooling
- Understanding of enterprise AI security, compliance, and privacy requirements
- Strong architectural communication skills, including RFC development and technical diagramming
Attributes:
- Adaptable, proactive problem solver
- Strong ownership mindset with excellent collaboration and communication skills
- Comfortable working in fast‑paced, ambiguous R&D environments
- Passionate about building high‑leverage platform capabilities that support hundreds of engineering teams
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Information Technology
Industries
Banking, Telecommunications, and Information Services
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