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# Senior Generative AI Engineer- 10+ yrs- Minneapolis, United States- Onsite

- **Company:** iMedhas Consulting Services
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Computer Engineering, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, SQL Databases, Reinforcement Learning, Software Repository, Google Cloud, Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Deep Learning, Generative AI, Agentic-AI, CrewAI, Data Analytics, Api Design, Restful APIs, Streamlit Framework, Intelligent Document Processing, Artificial Intelligence Markup Language (AIML), Docker, Programming Languages
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/e625856f-d3da-466f-969a-d6efed5b3e27

## About the Role

Job Requirements Overall 3+ years of experience in AI ML roles Budget 2027. Experience in implementing real projects using Gen AI, Fine tuning LLMs , RAG. Experience in implementing enterprise level Agentic solution using any of the open frameworks (Langgraph, Google ADK, CrewAI, etc.) Understanding of Both Opensource and Open AI LLMs and RAG architecture Experience with vector databases/embeddings. Experience in Document AI / OCR / extraction solutions and structured output creation. Exposure to implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP Familiarity with NLP literature, thrust areas, conference venues, and code repositories Familiarity with UI tools like Streamlit, flask etc , FAST APIs , Rest APIs , Docker containers Proficiency in Python, pytorch , SQL and other programming languages for data analysis and modeling with atleast 3+ years of experience. Proficiency in libraries such as OpenAI
API Proficiency with cloud development environments such as Azure, AWS, and Google Cloud Platform Proven good grasp of using LLMs, Deploying LLMs Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutionsBachelor's degree or higher in computer science engineering. Work Experience 7-10Years