Lead GenAI Python Developer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 18 Month(s)

Skills

GenAI
Generative AI
Python
Artificial Intelligence
AWS
FastAPI
OpenAI
RESTful API
RAG
IaC
Terraform
API
S3
Lambda
CI/CD
LLM

Job Details

Need Someone Local to Plano, TX who can able to attend Onsite interview.

Job Title: Lead GenAI Python Developer

Location: Plano, TX Onsite

Duration: Long Term

  • Interview Process: 2 rounds
    • Interview 1: Technical Video interview via MS Teams for 60 minutes.
    • Interview: Technical In-person interview for 60 minutes (Panel interview) MUST HAVE

Job Description:

Lead/Senior Python Developer (Python, AWS, GenAI)

Requirements:

  • Backend/API Development:
    • Build and maintain RESTful APIs with Python (FastAPI; OpenAI/Bedrock SDKs as clients), containerized and deployed on AWS ECS Fargate.
    • Design clean contracts and versioned APIs; document with OpenAPI/Swagger.
  • GenAI & RAG Integration:
    • Integrate with AWS Bedrock and other GenAI services to enable RAG and knowledge-base queries.
    • Work with vector databases (e.g., Pinecone, Weaviate, OpenSearch/Elasticsearch vector) for semantic search and retrieval.
    • Implement robust API clients for AI endpoints, including auth, throttling, retries, and error handling.
  • AWS & Infrastructure:
    • Configure API Gateway for secure routing, throttling, authentication/authorization.
    • Use IaC (Terraform or AWS CloudFormation) for ECS/Fargate, API Gateway, IAM, networking.
    • Utilize AWS services: S3, Lambda, OpenSearch/Elasticsearch, CloudWatch, Bedrock.
  • CI/CD, Quality, and Testing:
    • Build CI/CD pipelines (GitHub Actions, Jenkins, or CodePipeline) for automated build/test/deploy; use GitHub/GitLab and artifact repos (e.g., Artifactory).
    • Write unit, integration, and end-to-end tests with pytest; automate regression tests with QA.
    • Perform load/stress testing; analyze performance and reliability metrics.
  • Observability & Operations:
    • Implement centralized logging and metrics (CloudWatch, Dynatrace; Elasticsearch/OpenSearch if needed); set up SLIs/SLO-based alerts.
  • Strong proficiency in Python programming, with practical experience using FastAPI for API development.
  • Expertise in prompt engineering to design, test, and refine prompts for LLMs.
  • Experience building AI agents and conversational AI systems using CAG methodologies.
  • Working knowledge of Retrieval-Augmented Generation (RAG) and its application in AI solutions.
  • Hands-on experience with vector databases such as Pinecone, Weaviate, or similar platforms.
  • Familiarity with scoring and ranking techniques for large language model outputs.
  • Solid understanding of AWS cloud infrastructure components including IAM, Lambda, S3, and EC2.
  • Excellent collaboration skills within agile, cross-functional teams.
  • Strong analytical and problem-solving abilities.

Effective communication skills to convey complex AI concepts clearly

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