Hybrid AI Engineer

at Huron

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Flask, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Bangalore, India

About the role

• AI Engineer developing AI-powered systems at Huron. Building intelligent applications with a focus on emerging AI technologies and collaboration across teams.

Responsibilities

• Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
• Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
• Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
• Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
• Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
• Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
• Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
• Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities

Requirements

• Atleast 4 years of hands-on experience in AI/ML development or intelligent application engineering
• Proficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
• Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
• Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
• Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
• Familiarity 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, or model monitoring is a plus
• Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
• Knowledge of AI system evaluation, observability, or prompt performance testing 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) is a plus
• Bachelor’s degree in computer science, Engineering, Data Science, or a related field

Benefits

• medical, dental, and vision coverage to employees and dependents
• 401(k) plan with a generous employer match
• employee stock purchase plan
• generous Paid Time Off policy
• paid parental leave and adoption assistance
• Wellness Program supporting employee total well-being by providing free annual health screenings and coaching, bank at work, on-site workshops, and ongoing programs recognizing major events throughout the year