AI Engineer

Huron Consulting Group Inc.; Jaipur; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Huron Consulting Group Inc. is seeking an experienced AI/ML Engineer to lead the development of cutting-edge AI models and agentic applications. You will architect end-to-end RAG pipelines and build modular APIs to enable seamless model integration.

The role requires hands-on experience with Python, ML libraries, and cloud AI services, along with strong collaboration across technical and business teams to deliver scalable solutions.

Qualifications

• 4–6 years of hands-on AI/ML development or intelligent application engineering.
• Strong proficiency in Python and modern ML libraries.
• Experience designing and deploying RAG-based systems, including embeddings and vector databases.
• Experience with cloud-based ML platforms and API/server development.

Responsibilities

• Design and develop AI-powered systems using both traditional ML and Generative AI techniques, including prompt engineering and fine-tuning.
• Architect and implement end-to-end RAG pipelines with document ingestion, embedding generation and contextual response generation.
• Develop modular APIs and service components (e.g., FastAPI/Flask) for model integration.
• Leverage AWS/Azure AI/ML services to accelerate development and deployment.
• Build and manage end-to-end AI pipelines: ingestion, transformation, training, inference, deployment and knowledge retrieval.
• Collaborate with software engineers, data scientists, solution architects, and stakeholders to transition to production.
• Stay up to date with Generative AI trends, evaluation techniques and continuous improvement methodologies.
• Support rapid experimentation (POCs, pilots) and scalable deployments.

Skills

Python

ML/GenAI

RAG pipelines

Embeddings/Vector DB

Cloud platforms AWS/Azure

API development (FastAPI/Flask)

LangChain/LangGraph

Docker

MLOps/CI/CD

Cross-functional communication

Education

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

Tools

FastAPI

Flask

PyTorch

TensorFlow

FAISS

Pinecone

Chroma

Azure ML

AWS SageMaker

Docker

Job description

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) architecturesBuild intelligent applications and agentic systems that can perform tasks autonomously or interactively, using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similarArchitect and implement end-to-end RAG pipelines, including document ingestion, chunking strategies, embedding generation, vector indexing, hybrid search, and contextual response generationDevelop modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumptionDesign, build, and manage end-to-end AI pipelines, including data ingestion, transformation, validation, model training, inference, deployment, and knowledge retrieval workflowsLeverage AWS and Azure AI/ML services (e.g., Bedrock, SageMaker, Azure OpenAI, Azure ML, Document Intelligence, vector databases, etc.) to accelerate development and deploymentImplement observability, evaluation, and monitoring mechanisms to track model accuracy, drift, retrieval quality, grounding fidelity, reliability, and task-level reasoningOptimize RAG systems for latency, scalability, cost efficiency, and response quality in production environmentsCollaborate with software engineers, data scientists, solution architects, and business stakeholders to ensure seamless solution design and transition to productionSupport both rapid experimentation (POCs, pilots) and robust, scalable deployments, depending on the maturity of each use caseStay up to date with emerging trends in Generative AI, AI agents, orchestration frameworks, RAG evaluation techniques, and continuous improvement methodologies4 to 6 years of hands-on experience in AI/ML development or intelligent application engineeringStrong 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 techniquesExperience building APIs or backend services using FastAPI, Flask, or equivalent frameworksExposure to agent frameworks (e.g., LangGraph, AutoGen) and multi-agent orchestration patternsExperience with orchestration standards or tools such as MCP or agent routing protocols is a plusFamiliarity 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 servicesExperience with MLOps pipelines, CI/CD for model delivery, RAG evaluation frameworks (e.g., RAGAS), or model monitoring is a plusKnowledge of AI system evaluation, observability, prompt performance testing, and grounding validation is a plusAbility to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiencesCloud certifications in AI/ML services (Azure, AWS, or Google Cloud) are a plusBachelor’s degree in Computer Science, Engineering, Data Science, or a related fieldPosition LevelAssociateCountryIndia