at Insight Global in Chicago, Illinois, United States
Job Description
Job Description
-Experience building agents and deploying MCPs agentic workflows – Model Context Protocol (MCP) agentic workflows involve AI agents that autonomously plan and execute complex, multi-step tasks by dynamically discovering and utilizing tools and data sources through a standardized protocol
-Very nice to have Milvus open source vector database to enhance embedding in AI applications. – can be used to build RAG
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.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
- The team is looking for individual contributors, not architects; they need hands-on scientists and developers.
- Candidates should have 6-8 years of experience; profiles with more than 10 years are typically not a fit. - Candidates must have experience in Python programming and be able to complete a live coding test, including technical Python questions. - Ideal candidates are hybrid scientists with a background in data engineering and the last 2-3 years focused on working with LLMs as data scientists. - Required skills and keywords include: PySpark, Spark, strong Python, FastAPI, cloud deployment, and Kubernetes experience.Candidates should have platform experience and familiarity with LLM monitoring tools such as LangSmith, LangFuse, or similar.
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