Hybrid Full Stack Engineer IV – AI/ML APIs, LLM

Posted 2 months ago

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About the role

  • Full Stack Engineer designing and maintaining scalable RESTful and GraphQL APIs for AI-driven integrations. Collaborating with teams to ensure seamless API integration and deployment.

Responsibilities

  • Design, develop, and maintain scalable RESTful APIs and GraphQL APIs using modern frameworks
  • Develop backend services using Node.js (Express/Nest.js), FastAPI (Python), Ariadne (GraphQL APIs), and Golang (Streaming services)
  • Integrate with Databricks to expose and manage OLAP (Online Analytical Processing) workloads
  • Architect APIs following metadata-driven design principles
  • Deploy and scale API services using AWS Lambda, Kubernetes (EKS), and AWS Bedrock
  • Implement authentication and authorization best practices
  • Design and optimize database interactions using SQL/NoSQL databases
  • Develop CI/CD pipelines for automated API deployment using AWS services
  • Monitor and improve API performance, logging, and error handling
  • Work on AI-driven API integrations including Recommender Systems, LLM-based AI Agents, and AI-powered Image & Video Processing workflows
  • Collaborate with front-end engineers, data scientists, and DevOps teams

Requirements

  • 8 - 12 Years of work experience
  • 5+ years of experience in API development with GraphQL (Ariadne) and RESTful services
  • Strong hands-on experience with Node.js (Express/Nest.js), FastAPI (Python), and Golang
  • Proficiency in API design principles
  • Experience with AWS Lambda, AWS Bedrock, and Kubernetes (EKS) for serverless and microservices architectures
  • Hands-on experience designing scalable and modular API architectures
  • Expertise in OAuth2, JWT, API Gateway, and dynamic authentication mechanisms
  • Strong knowledge of OLAP workloads and Databricks integration
  • Experience with SQL/NoSQL databases (MongoDB, PostgreSQL, and DynamoDB)
  • CI/CD automation expertise (Jenkins, GitHub Actions, AWS CodePipeline)
  • Proficiency in API testing frameworks (Postman, Newman, Jest, Mocha, PyTest)
  • Strong debugging, logging, and monitoring skills (Grafana, Prometheus, ELK stack)

Benefits

  • Flexible work arrangements
  • Professional development

Job title

Full Stack Engineer IV – AI/ML APIs, LLM

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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