Job Description
We are looking for a skilled Generative AI Engineer with hands-on experience in building LLM-powered applications, multi-agent systems, and Retrieval-Augmented Generation (RAG) pipelines. The ideal candidate will have strong expertise in modern GenAI frameworks and be capable of designing scalable, production-grade AI solutions.
Key Responsibilities
- Design and develop end-to-end Generative AI applications using LLMs (OpenAI, Gemini, etc.)
- Build and optimize RAG pipelines leveraging vector databases and semantic search
- Develop and orchestrate multi-agent systems using frameworks like LangChain and LangGraph
- Integrate LLM models with enterprise data sources to deliver context-aware responses
- Design and expose RESTful APIs for AI services and application integration
- Work with vector databases such as ElasticSearch, Chroma, or Azure AI Search
- Optimize model performance, latency, and response quality for production use cases
- Collaborate with frontend, backend, and product teams for seamless solution delivery
- Implement prompt engineering strategies and improve output accuracy and relevance
- Ensure scalability, reliability, and maintainability of AI systems
Key Skills & Technologies
GenAI & LLMs:
- OpenAI, Gemini, Azure OpenAI, AWS Bedrock
- Prompt Engineering, RAG, Semantic Search
Frameworks & Tools:
- LangChain, LangGraph
- Flask / FastAPI for API development
Vector Databases & Search:
- ElasticSearch, Chroma, Azure AI Search
Programming & Backend:
- Python (mandatory)
- REST API development
- Basic knowledge of Java / backend integration (good to have)
Cloud & Deployment:
- AWS (EC2, S3, Lambda) or Azure
- CI/CD and scalable deployments
Good to Have
- Experience with multi-agent architectures / agent orchestration
- Exposure to chatbot architectures and conversational AI systems
- Understanding of frontend frameworks (React.js)
- Experience with speech (STT/TTS) or multimodal AI applications
Qualifications
- Bachelor�s degree in Computer Science / AI / Data Science or related field
- 2�4 years of relevant experience in AI/ML or Generative AI development
Key Competencies
- Strong problem-solving and analytical thinking
- Ability to work in a fast-paced, innovation-driven environment
- Good communication and collaboration skills