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Net2Source (N2S)

Python Developer

arlington, TX

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About this opportunity

Net2Source (N2S) lists this Python Developer opportunity in arlington, 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

arlington, TX, 76000, US

Who can apply

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