Request ID: 108293-1
Title: Python Developer
Location: Phoenix, AZ (Onsite)
Duration: 6 months
Pay Range: $40 - $45/Hour on W2/C2C (All inclusive)
JOB DESCRIPTION:
"Knowledge Base & AI Platform Engineerin
" Design, develop, maintain and evolve enterprise knowledge-base infrastructure and AI-enabled backend services using Python and FastAPI.
" Build and optimize ingestion, chunking, embedding, vector indexing, semantic retrieval, reranking, context construction and grounded RAG pipelines.
" Develop LangChain/LangGraph-based agent workflows and reusable agent-runtime capabilities including tool calling, state management, retries, validation, guardrails and human approval where required.
" Integrate LLMs and enterprise knowledge sources securely through reusable APIs and services.
" Implement PostgreSQL/vector database persistence, metadata filtering and retrieval patterns optimized for accuracy, latency and scale.
Cloud-Native Delivery & Production Engineering
" Containerize services with Docker and deploy/manage them on Kubernetes.
" Build and maintain CI/CD pipelines using GitHub Actions, Jenkins or equivalent tools, including automated testing and deployment controls.
" Implement logging, tracing, metrics, dashboards and alerts using OpenTelemetry, Prometheus, Grafana and enterprise monitoring tools.
" Diagnose and resolve issues across APIs, retrieval pipelines, agent execution, databases, containers and distributed infrastructure.
" Improve performance, reliability, security, scalability and cost efficiency of production AI services.
Quality, Evaluation & Collaboration
" Establish automated tests and evaluation approaches for APIs, retrieval quality, grounded responses and agent behavior.
" Apply secure coding, access controls, audit logging, prompt/output validation and responsible-AI practices"
SKILLS_REQUIRED:
"Python & API Engineering
" Strong hands-on experience with Python 3.11+ and production backend development.
" Strong experience building secure, scalable REST APIs and microservices using FastAPI; familiarity with Flask/Django is useful.
" Strong understanding of asynchronous Python, API design, validation, error handling,
authentication/authorization, and enterprise integration patterns.
Generative AI, RAG & Knowledge Infrastructure
" Hands-on experience building enterprise Generative AI applications using LLMs, RAG, semantic search, embeddings, and vector databases.
" Strong experience with LangChain and LangGraph for agentic workflows, stateful orchestration, tool calling, multi-step execution, and controlled agent runtimes.
" Experience designing knowledge ingestion, document chunking, embedding generation, metadata enrichment, retrieval/reranking, context assembly, grounded generation, and response validation pipelines.
" Experience with PostgreSQL and vector search; pgvector experience is highly desirable.
" Strong understanding of prompt engineering, AI agents, guardrails, human-in-the-loop patterns, AI evaluation, responsible AI, and secure enterprise data access. Platform Engineering, DevOps & Observability
" Strong hands-on experience with Docker and Kubernetes for production AI services. " Experience with Git, GitHub Actions/Jenkins and CI/CD pipelines for automated build, test and deployment.
" Experience with production monitoring and observability using OpenTelemetry, Prometheus, Grafana, Splunk/ELK or equivalent tools.
" Ability to troubleshoot performance, reliability, retrieval quality, API, infrastructure, and production issues across distributed AI systems.
" Strong analytical, problem-solving, documentation and cross-functional communication skills."
DESIRABLE_SKILLS
"Strong ownership and stakeholder management; ability to work across Product, Architecture, AI/ML,
Data, Security and DevOps teams; clear technical communication; mentoring and code-review capability; analytical problem solving; Agile delivery; focus on reliability, security, scalability and maintainability."
Company Benefits & Culture
" Opportunity to work with a dynamic team in a fast-paced environment
" Exposure to cutting-edge technologies and methodologies
" Supportive and collaborative work culture
Appreciate your quick response and please feel free to reach me out for any query you may have.
Thanks