AI Engineer

Role Overview This role will focus on designing, developing, and deploying enterprise-grade AI agents capable of interacting with structured and unstructured data, enabling autonomous workflows in manufacturing and quality operations. Key

Responsibilities

Experience: 3 + years

• - Architect and implement full-stack solutions for Agentic AI applications, integrating real-time and historical data to support autonomous decision-making.
• - Design and deploy intelligent agents using frameworks such as LangChain, leveraging LLMs for document authoring, search, and recommendation tasks.
• - Build scalable, secure, and compliant chatbot interfaces
• - Develop robust data pipelines using Python, Snowflake SQL, and AWS-native services.
• - Integrate Neo4j and vector databases to support semantic search and contextual reasoning.
• - Utilize Azure AI, Amazon Bedrock, and other cloud platforms to deploy scalable AI services.
• - Collaborate with cross-functional teams to translate complex workflows into intelligent automation solutions.
• - Ensure systems meet regulatory and operational standards and document architecture and deployment processes.

Required Qualifications

• - Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• - 5+ years of experience in software engineering, with at least 3 years in AI/ML and LLM-based systems.
• - Advanced proficiency in Python
• - Hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex.
• - Deep understanding of LLM architectures, prompt engineering, RAG, and semantic search.
• - Experience with embedding-based search systems.
• - Familiarity with Neo4j, GraphRAG, and graph data science.
• - Proficiency in Azure AI, AWS (Bedrock, Lambda, ECS), GCP.
• - Experience with Kubernetes, Docker, Terraform, CI/CD pipelines, and observability tools.
• - Skilled in building scalable APIs using FastAPI, Flask, and integrating with enterprise systems.

Enterprise Application Experience

• - Development of intelligent agents for document retrieval and generation for large scale enterprise solutions.
• Copilot Studio agent creation and deployment.

AI Governance & Ethics

• - Awareness of ethical AI principles including fairness, transparency, privacy, and responsible model integration.
• - Experience in regulated industries with understanding of compliance frameworks (e.g., FDA Part 11, GMP).

Leadership & Collaboration

• - Ability to lead cross-functional teams across business, data, and engineering domains.
• - Experience mentoring junior engineers and driving technical workshops and PoCs.

Job Type: Full-time

Work Location: In person