Generative AI Engineer

You are part of a cross-functional consulting team that drives the adoption of Generative AI in every imaginable sector, working step-by-step with customers to understand business requirements to design then build bespoke GenAI solutions.

• Build applications powered by LLMs (OpenAI, Claude, Mistral, etc.) using LangChain, LlamaIndex, and related GenAI frameworks.
• Implement RAG pipelines with vector DBs (Pinecone, FAISS, pgvector, ChromaDB) for grounding LLM responses with internal knowledge
• Develop multimodal AI solutions (text, audio, image) and build autonomous agents where relevant.
• Drive MLOps excellence : CI / CD (ML pipelines), drift detection, canary releases, retraining schedules.
• Design robust and reusable prompt templates using CoT, ReAct, Graph-of-Thought, and Agent flows.
• Continuously improve model reliability, relevance, and UX by tuning prompt flows
• Deploy GenAI models on AWS / GCP / Azure using services like SageMaker, Bedrock, Vertex AI
• Ensure performance observability, security guardrails, and compliance (GDPR, Responsible AI)
• Work with DevOps teams to integrate GenAI solutions into microservices and APIs (FastAPI / Flask)
• Benchmark open-source and commercial LLMs for use-case fit and cost-performance tradeoffs
• Evaluate fine-tuning strategies (PEFT, LoRA, RLHF) where applicable for proprietary use cases
• Support solution architects and cross-functional teams in delivering PoCs and enterprise-grade rollouts
• Document frameworks, best practices, risks, and learnings for future scaling

Qualifications :

• Education : Bachelor s / masters degree in computer science, AI , or a related field.
• Experience : 5+ years of experience in NLP / ML / AI with at least 3 years.

Skills Required

MLops