Python Developer

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