About this opportunity
Net2Source (N2S) lists this Python Developer opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.