Artificial Intelligence Engineer

Title - AI Engineer

Type - Contract

Location - Hybrid, Chennai

Roles and Responsibilities :

• Architect and implement end-to-end full-stack solutions for Agentic AI applications that integrate real-time and historical data to facilitate autonomous decision-making.
• Design, develop, and deploy intelligent agents using frameworks such as LangChain and LangGraph, leveraging large language models (LLMs) for document authoring, semantic search, and recommendation systems.
• Build scalable, secure, and compliant chatbot interfaces that serve enterprise needs.
• Develop and maintain robust data pipelines using Python, Snowflake SQL, and various AWS-native services to ensure seamless data flow and processing.
• Integrate graph databases like Neo4j and vector databases to enable semantic search capabilities and contextual reasoning.
• Deploy scalable AI services on cloud platforms including AWS (Bedrock, Lambda, ECS), Azure AI, and GCP.
• Collaborate with cross-functional teams across business, data science, and engineering to translate complex workflows into intelligent automation solutions.
• Ensure all AI systems comply with regulatory and operational standards, documenting architecture, deployment processes, and governance practices.
• Lead the development and deployment of AI agents for document retrieval and generation in large-scale enterprise environments, including Copilot Studio agent creation.
• Promote AI governance and ethics by adhering to principles of fairness, transparency, privacy, and responsible AI model integration, especially within regulated industries (e.g., FDA Part 11, GMP).
• Mentor junior engineers, lead technical workshops, and drive proof-of-concept projects to foster innovation and knowledge sharing.
• Communicate effectively with stakeholders to align AI solutions with business goals and operational requirements.

Qualifications :

Tools and Technologies :