Job
Description
Job Title: GenAI Engineer (Senior/Lead) Industry: AI/ML, Enterprise Applications, Healthcare (if applicable) Overall Experience: 8 to 10 Years Immediate joiners Chennai is preferred( Anywhere in India ) Role Summary: Person with good Python coding and Generative AI solutions We are seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration. Key Responsibilities: • AI Application Development: Build and maintain Python-based AI services using Lang Chain and CrewAI. Implement RAG-based retrieval and Agentic AI workflows. • LLM Integration & Optimization: Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens, and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone). • Model Evaluation & Performance Tuning: Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. • API & Microservices Development: Design scalable RESTful API services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting. • Cloud Deployment & Orchestration: Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement Lang Chain for AI workflow automation. • Agile Development & Innovation: Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases. Tech Stack & Tools: • AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone • LLMs & APIs: OpenAI, LangChain, CrewAI • Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD • Security & Compliance: OAuth2, JWT, HIPAA Preferred Qualifications: • 8+ years of overall experience with a minimum of 4 years in AI/ML, LLM integrations, and enterprise cloud solutions. • Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval. • Strong knowledge of scalable AI architectures and security best practices.
