Senior AI Engineer

Job Description We are looking for an experienced AI Engineer to join a growing team focused on building and scaling agentic AI solutions in production. This role is highly hands-on and requires someone who can go beyond just using tools—someone who can design, build, and optimize AI systems while clearly articulating how and why solutions are implemented. What You'll Be Doing

•  Design and build agentic AI systems using frameworks like LangGraph and LangChain
•  Develop and optimize RAG-based architectures to support business use cases
•  Enhance existing AI solutions by identifying gaps and improving performance and scalability
•  Build and deploy API-driven, microservices-based AI applications in cloud environments (GCP preferred)
•  Implement prompt engineering strategies and agent workflows across multiple use cases
•  Collaborate with engineering leads to productionize AI systems, including: o CI/CD pipelines o Monitoring and observability o System reliability and scalability
•  Work closely with stakeholders to translate business use cases (workflow automation, patient/pharmacy solutions) into technical solutions Key Focus Areas
•  Day 1 contribution: Strong ramp in Python, LLMs, and prompt engineering
•  Enhancing predefined AI use cases (not net new ideation-heavy)
•  Building scalable platforms for AI-driven workflow automation
•  Improving agent orchestration and system design 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 HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

•  8+ years of software engineering experience with 3+ years in AI/ML or LLM-based development
•  Hands-on experience with LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel)
•  Experience building agentic AI systems / autonomous agents (OpenAI, Anthropic, or open-source models)
•  Strong proficiency in: o Python (primary) o FastAPI o Vector databases (FAISS, Weaviate, etc.) o RAG pipelines (design + implementation)
•  Experience deploying AI solutions in Cloud Environment (GCP preferred)
•  Experience with CI/CD pipelines
•  Experience with GraphQL
•  Exposure to Node.js
•  Deep experience with agent design patterns and prompt engineering techniques
•  Experience customizing LangGraph workflows or similar orchestration frameworks
•  Familiarity with: o Model Context Protocols o Agent-to-agent communication / authentication
•  Experience in healthcare / pharmacy workflows or workflow automation
•  Strong analytical mindset with ability to improve existing use cases (not just build net new) $50-$60