Senior AI Engineer
Job Description
The Innovation Lab is expanding and seeking Senior AI Engineers to design and build prototypes, POCs, and MVPs focused on emerging technologies. This team operates as a shared service across four organizations, incubating experimental solutions that are later handed off to domain-specific engineering teams for scaling and production.
What You'll Do
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Design and build prototypes, POCs, and MVPs across emerging technology initiatives
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Focus heavily on AI / GenAI solutions, including LLM-based applications
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Collaborate with stakeholders to translate ideas into working prototypes
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Hand off validated solutions to downstream engineering teams (dev, UAT, production)
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Rapidly experiment, iterate, and validate ideas in a lab-style environment
Required Skills
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Strong Python development experience
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Hands-on experience building LLM-based applications
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Familiarity with LangChain
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Experience generating and accelerating development using AI tools (e.g., Claude)
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Cloud experience -they are primarily in GCP/Azure so those are preferred
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Proven ability to build fast, functional prototypes
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following,
AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.
Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
Large Language Model Expertise: Hands on experience building, fine tuning, evaluating, and deploying LLMs (open source and commercial).Agentic AI & Workflow
Orchestration: Experience building agent based systems using tools like LangGraph, CrewAI, OpenAI agents, or similar frameworks..
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools.
Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset.
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