AI Engineering Tech Lead

United States·Schaumburglead

OtherTech

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Requirements Summary

LangChain LangGraph AutoGen CrewAI Semantic Kernel Experience building RAG (Retrieval-Augmented Generation) solutions. Strong knowledge of prompt engineering, vector databases, embeddings,

Technical Tools

OtherTech

Seeking a highly skilled and passionate AI Engineering Tech Lead to lead a team of 10+ engineers in designing, developing, and deploying next-generation AI solutions. This role requires a hands-on technical leader with deep expertise in Generative AI, Agentic AI systems, Large Language Models (LLMs), and modern software engineering practices.

The ideal candidate will combine strong leadership capabilities with technical excellence, driving innovation while mentoring engineers and delivering scalable AI-powered applications that create business impact.

Responsibilities

~1 min read

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Lead, mentor, and manage a team of 10+ AI/Software Engineers.
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Architect and develop enterprise-grade AI and Agentic AI solutions.
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Design and implement applications using Large Language Models (LLMs) and Generative AI technologies.
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Drive end-to-end AI product development from proof-of-concept to production deployment.
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Collaborate with business stakeholders, architects, product owners, and engineering teams to define AI roadmaps and technical strategies.
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Build AI agents capable of reasoning, planning, and autonomous task execution.
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Integrate AI solutions with APIs, databases, cloud platforms, and enterprise applications.
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Establish coding standards, best practices, and AI governance frameworks.
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Conduct code reviews and provide technical guidance to engineering teams.
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Evaluate emerging AI technologies and recommend innovative solutions.
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Ensure scalability, security, performance, and reliability of AI platforms.

Requirements

~1 min read

- Experience leading AI transformation initiatives in large enterprise environments.
- Exposure to healthcare, diagnostics, life sciences, or regulated industries.
- Knowledge of AI governance, responsible AI, and model evaluation frameworks.
- Experience with Kubernetes, Docker, and distributed systems.

Strong hands-on experience with Python development.

Experience with frameworks such as:

Experience building RAG (Retrieval-Augmented Generation) solutions.

Strong knowledge of prompt engineering, vector databases, embeddings, and AI orchestration.

Experience integrating AI applications with REST APIs, databases, and external systems.

Familiarity with cloud platforms such as AWS, Azure, or GCP.

Strong understanding of software design patterns, system architecture, and microservices.

Experience with CI/CD pipelines and MLOps practices.

Inspire and develop a high-performing engineering team.
Drive technical decision-making and architectural excellence.
Foster a culture of innovation, collaboration, and continuous learning.
Balance hands-on coding responsibilities with leadership duties.
Serve as the primary technical point of contact for AI initiatives.

A passionate technologist who stays current with the rapidly evolving AI landscape.
Strong communicator capable of engaging with both technical and business stakeholders.
Proven ability to lead teams while remaining hands-on with development.
Someone excited about building real-world AI solutions at enterprise scale.