AI/ML Engineer
Franklin, TN
Date Posted:29-May-2026
Work Type:On-Site
Job Number:486407
Job Description
Job Title: AI/ML Engineer
Location: Onsite at Franklin, TN
Duration: 11+ Months
Job Summary:
• 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.
Required Skills:
1. 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
2. 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
3. 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
Nice to Have Skills:
• Frontend experience with React, JavaScript/TypeScript, Redux
• Experience with Neo4j or graph databases
• Data engineering exposure (ETL pipelines, Spark, data quality)
Location: Onsite at Franklin, TN
Duration: 11+ Months
Job Summary:
• 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.
Required Skills:
1. 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
2. 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
3. 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
Nice to Have Skills:
• Frontend experience with React, JavaScript/TypeScript, Redux
• Experience with Neo4j or graph databases
• Data engineering exposure (ETL pipelines, Spark, data quality)
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's starting pay is: $39.00/hr.