Net2Source (N2S)
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 and Financial Services
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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 and Financial Services
#J-18808-Ljbffr