AI Engineer responsible for developing AI - driven features and managing enterprise customer solutions. Collaborate across teams to build and scale AI systems for enterprise clients.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Engineering Manager leading a strong team to build AI - driven applications for revenue systems. Focused on hybrid collaboration and innovative technology solutions in Bengaluru.
AI Developer working with LLM applications at Reaktor. Involves AI technologies to solve real human problems in a collaborative environment.
AI Developer designing innovative AI solutions for Phytocontrol's food safety and environmental analysis. Collaborating with teams to deploy machine learning models and enhance data processes.
Vice President, Chief AI Architect at Pfizer responsible for defining enterprise AI architecture and governance. Collaborating across R&D, Manufacturing, and Commercial to enable AI breakthroughs.
Chief Engineer leading the design and build of API infrastructure and AI workflows at Wolters Kluwer. Overseeing platform architecture, engineering standards, and team performance in a hybrid role.
Junior AI Engineer developing AI solutions for TSC, enhancing stakeholder intelligence through advanced AI - native systems and real - world impact. Collaborating globally with a team for optimal performance.
Junior AI Engineer developing intelligent systems for stakeholder monitoring. Collaborating on innovative AI solutions and transforming data into actionable insights while exposed to global challenges.
Staff AI Engineer responsible for generative AI solutions for conversational products and operational efficiency at Stone Co. Engaging in technical leadership and collaboration between science and engineering.
Forward Deployed AI Engineer assisting enterprises with Adaptive Engine deployments for generative AI. Collaborating with technical teams to enhance customer success and model performance.