NeerInfo Solutions · 10 hours ago
Generative AI Engineer
NeerInfo Solutions is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions. This role involves designing, developing, and deploying Gen AI applications using Large Language Models and agentic frameworks, while also leading small teams in an innovative environment.
Responsibilities
Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI)
Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT
Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI)
Work with unstructured data (PDFs, HTML, audio, images) and multimodal models
Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking
Evaluate model performance using tools like RAGAS, DeepEval, and FMeval
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
Mentor junior engineers and contribute to code reviews, design discussions, and best practices
Qualification
Required
Bachelor's degree in Computer Science, AI/ML, or related field
4–8 years of experience in software engineering or data science, with 2–3 years in Gen AI or LLM-based systems
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch)
Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search)
Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP)
Experience with REST API development (FastAPI, Flask) and containerization (Docker)
Solid understanding of AI governance, model safety, and prompt engineering
Preferred
Exposure to agentic workflows and autonomous agents
Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform)
Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs
Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems
Experience with multimodal models and perception systems (e.g., vision + language)