AI Engineer

Location: Bangalore India - Outer Ring Road

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.

Join our team as the expert you are now and create your future.

We are seeking an experienced AI/ML Engineer with expertise in both machine learning (ML) and Generative AI (GenAI) to join our Emerging Technology Practice. In this role, you will drive the development of cutting-edge AI models and solutions—from statistical modeling and predictive analytics to advanced generative and agentic applications.

Design and develop AI-powered systems using both traditional ML and Generative AI techniques, including prompt engineering, fine-tuning, embeddings, and Retrieval-Augmented Generation (RAG) architectures

Build intelligent applications and agentic systems that can perform tasks autonomously or interactively, using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar

Architect and implement end-to-end RAG pipelines, including document ingestion, chunking strategies, embedding generation, vector indexing, hybrid search, and contextual response generation

Develop modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption

Design, build, and manage end-to-end AI pipelines, including data ingestion, transformation, validation, model training, inference, deployment, and knowledge retrieval workflows

Leverage AWS and Azure AI/ML services (e.g., Bedrock, SageMaker, Azure OpenAI, Azure ML, Document Intelligence, vector databases, etc.) to accelerate development and deployment

Implement observability, evaluation, and monitoring mechanisms to track model accuracy, drift, retrieval quality, grounding fidelity, reliability, and task-level reasoning

Optimize RAG systems for latency, scalability, cost efficiency, and response quality in production environments

Collaborate with software engineers, data scientists, solution architects, and business stakeholders to ensure seamless solution design and transition to production

Support both rapid experimentation (POCs, pilots) and robust, scalable deployments, depending on the maturity of each use case

Stay up to date with emerging trends in Generative AI, AI agents, orchestration frameworks, RAG evaluation techniques, and continuous improvement methodologies

4 to 6 years of hands-on experience in AI/ML development or intelligent application engineering

Strong proficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)

Hands-on experience designing and deploying RAG-based systems, including embeddings, vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search), and retrieval optimization techniques

Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks

Exposure to agent frameworks (e.g., LangGraph, AutoGen) and multi-agent orchestration patterns

Experience with orchestration standards or tools such as MCP or agent routing protocols is a plus

Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker)

Hands-on experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services

Experience with MLOps pipelines, CI/CD for model delivery, RAG evaluation frameworks (e.g., RAGAS), or model monitoring is a plus

Knowledge of AI system evaluation, observability, prompt performance testing, and grounding validation is a plus

Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences

Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) are a plus

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field

Position Level

Associate

Country

India

Additional Locations: Noida India, Chennai India, Pune India, Jaipur India