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AI/ML Engineer

Job

Spectraforce

Franklin, TN (In Person)

Full-Time

Posted 1 week ago (Updated 1 day ago) • Actively hiring

Expires 7/4/2026

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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)