Engineer
Job Description
Insight Global is sourcing for an AI/LLM Engineer to sit remotely in India, joining a global consulting firm. This position will support various Digital Products Teams in the AI Center of Excellence, to support building key prioritized Generative AI solutions for achieving functional AI/Gen AI vision. As the AI/LLM Engineer you are expected to have expertise in in Gen AI development (Multi agentic architecture, Agents orchestration, RAG, LLM evaluations, APIs development etc.). Excellent communication skills and professionalism are a must, as you will work cross functionally, collaborating with executives. This position is 100% remote but must sit in India working 11:00-7:00 PM IST.
Pay-rate: $15-20/hour USD. Exact pay rate will depend on experience and other factors.
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
-Overall 7+ years of experience in technology, software engineering or data science/ML
-5+ years of hands-on coding experience in python development
-2+ years of experience in building Generative AI products at scale
-Strong Experience in developing Generative AI based solutions using frameworks e.g. Langchain, Llamaindex to build Retrieval augmented generation (RAG), multi agent architectures driven solutions e..g Langgraph, AutoGen, Crew.ai, Agent SDK.
-Highly curious and fast learner who is keenly keeping pace with latest and greatest happening in Gen AI and agentic AI space
-Experience in working with variety of LLM models and fine tuning
-Experience in applying MLOps/LLMOps principles to deploy, monitor models and implement automated CI/CD pipelines
-Experience with LLM evaluation frameworks, guardrails to evaluate and monitor outputs quality, control hallucinations
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