AI/ML Engineer GenAI & LLM

Key Responsibilities

• Design, develop, and deploy end-to-end AI/ML and Generative AI applications.
• Build and optimize LLM-based applications using RAG, vector databases, and hybrid retrieval techniques.
• Develop NLP solutions including intent classification, dialogue systems, text-to-SQL, and document intelligence.
• Implement AI/ML pipelines for data processing, model evaluation, inference, and performance optimization.
• Work with AWS AI services such as Amazon Bedrock, SageMaker, OpenSearch, ECS, Lambda, and S3.
• Develop scalable backend APIs and AI services using Python, FastAPI, and related technologies.
• Implement prompt engineering, context management, chunking strategies, structured outputs, and AI guardrails.
• Optimize model latency, token usage, retrieval accuracy, and overall system performance.
• Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions.
• Deploy and maintain production-grade AI systems using Docker, Kubernetes, and cloud infrastructure.

Required Skills

• Strong proficiency in Python and Machine Learning concepts.
• Hands-on experience with Generative AI, LLMs, and RAG applications.
• Experience with LangChain, LlamaIndex, or similar LLM frameworks.
• Knowledge of NLP, NLU, intent classification, and conversational AI.
• Experience with vector databases, embeddings, and information retrieval.
• Strong understanding of AWS cloud services, particularly Bedrock and SageMaker.
• Experience in developing APIs using FastAPI or similar frameworks.
• Knowledge of Docker, Kubernetes, and cloud deployment.
• Familiarity with PostgreSQL, MongoDB, or other databases.
• Understanding of model evaluation, inference optimization, and AI system performance.

Preferred Qualifications

• Experience building production-grade AI/ML applications.
• Knowledge of time-series forecasting and anomaly detection.
• Experience with Rasa, OpenSearch, or Text-to-SQL systems.
• Familiarity with TypeScript, Node.js, or GraphQL.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.