The company is seeking to build and scale enterprise AI applications, combining full-stack development expertise with hands-on AI/ML engineering to deliver intelligent systems that provide real business value at scale.
Requirements
- Expert-level proficiency in Python with modern frameworks (FastAPI, Flask)
- Strong TypeScript/JavaScript skills with deep React and Next.js experience
- Proven track record designing and building RESTful and GraphQL APIs
- Solid understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases
- Experience with authentication systems (OAuth2, JWT, SSO) and security best practices
- Hands-on experience building and deploying AI/ML applications in production environments
- Deep understanding of LLM integration, prompt engineering, and context management
Responsibilities
- Design and implement end-to-end RAG (Retrieval-Augmented Generation) pipelines that enable intelligent document search and question-answering across enterprise knowledge bases
- Build production-ready integrations with leading LLMs (GPT-4, Claude, Gemini) that provide accurate, contextual responses to user queries
- Develop sophisticated prompt engineering strategies and evaluation frameworks to ensure consistent, high-quality AI outputs
- Create agent systems with tool integration capabilities that can autonomously complete complex tasks
- Implement vector search solutions using Pinecone, Weaviate, or similar technologies for semantic similarity and knowledge retrieval
- Build scalable backend services using Python/FastAPI with type-safe APIs, authentication, and robust error handling
- Deploy and manage ML/AI services using Docker containers and Kubernetes orchestration
Other
- 4+ years of experience in Full-Stack Development
- 3+ years of experience in AI/ML Engineering
- 3+ years of experience in MLOps & Infrastructure
- Strong computer science fundamentals and algorithmic thinking
- Experience with test-driven development (TDD) and comprehensive testing strategies
- Agile/Scrum experience with ability to work in fast-paced environments
