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Python Developer (Dallas)
Python Developer (Dallas)Net2Source (N2S) • Dallas, TX, United States
Python Developer (Dallas)

Python Developer (Dallas)

Net2Source (N2S) • Dallas, TX, United States
[job_card.1_day_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Role Title : Senior Software Developer

Location- Plano TX, Onsite

Mandatory Skills :

  • 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 fixesfrom 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
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