Python Ai Jobs in Tennessee (NOW HIRING)

Job Summary:
Diverse Lynx is a company seeking a Python AI/ML Engineer with extensive experience in backend development. The role involves designing, developing, and maintaining scalable backend systems, integrating AI/ML capabilities, and managing applications on AWS cloud.
Responsibilities:
• Candidate should have 6+ years of hands-on experience in backend development with Python and AWS-based environments.
• Design, develop, and maintain scalable backend systems using Python frameworks (FastAPI, Django, Flask).
• Build and optimize RESTful APIs with strong adherence to best practices and performance standards.
• Develop asynchronous applications using async/await for high-performance and concurrent processing.
• Design and optimize PostgreSQL databases, including complex queries, indexing, and schema design.
• Implement and manage microservices-based architectures ensuring scalability, reliability, and fault tolerance.
• Deploy and manage applications on AWS cloud (EC2, S3, Lambda, EKS, Glue).
• Containerize applications using Docker and orchestrate using Kubernetes (EKS).
• Build and maintain CI/CD pipelines using Jenkins, GitLab, or GitHub Actions.
• Integrate AI/ML capabilities using OpenAI APIs and LangChain or similar frameworks.
• Develop features like semantic search, embeddings, and LLM-powered workflows.
• Work with vector databases (Pinecone, Weaviate, pgvector) and graph databases (Neo4j).
• Build and maintain ETL/ELT pipelines using AWS Glue or Apache Spark for data processing.
• Ensure performance optimization, data quality, and system observability across services.
Qualifications:
Required:
• 6+ years of hands-on experience in backend development with Python and AWS-based environments.
• Design, develop, and maintain scalable backend systems using Python frameworks (FastAPI, Django, Flask).
• Build and optimize RESTful APIs with strong adherence to best practices and performance standards.
• Develop asynchronous applications using async/await for high-performance and concurrent processing.
• Design and optimize PostgreSQL databases, including complex queries, indexing, and schema design.
• Implement and manage microservices-based architectures ensuring scalability, reliability, and fault tolerance.
• Deploy and manage applications on AWS cloud (EC2, S3, Lambda, EKS, Glue).
• Containerize applications using Docker and orchestrate using Kubernetes (EKS).
• Build and maintain CI/CD pipelines using Jenkins, GitLab, or GitHub Actions.
• Integrate AI/ML capabilities using OpenAI APIs and LangChain or similar frameworks.
• Develop features like semantic search, embeddings, and LLM-powered workflows.
• Work with vector databases (Pinecone, Weaviate, pgvector) and graph databases (Neo4j).
• Build and maintain ETL/ELT pipelines using AWS Glue or Apache Spark for data processing.
• Ensure performance optimization, data quality, and system observability across services.
• Strong Python Backend Development
• Expertise in FastAPI / Django / Flask
• Experience building REST APIs, async programming, and scalable backend services
• Strong understanding of SQLAlchemy and database integration
• AI / ML & LLM Integration (Must Have)
• Hands-on experience with OpenAI APIs, LangChain, or similar frameworks
• Knowledge of prompt engineering, embeddings, and semantic search
• Experience with vector databases (Pinecone, Weaviate, pgvector
• AWS Cloud & Microservices Architecture
• Strong hands-on experience with AWS services (EC2, S3, Lambda, EKS, Glue)
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Solid understanding of microservices, distributed systems, and system design
Preferred:
• Frontend experience with React, JavaScript/TypeScript, Redux
• Experience with Neo4j or graph databases
• Data engineering exposure (ETL pipelines, Spark, data quality)
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.