LLM Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an LLM Engineer on a 6-9 month contract, hybrid in Chicago or Princeton, NY, with a pay rate of "TBD." Requires 4+ years in software development, 2+ years in LLM/AI applications, and experience with LLM APIs and vector databases.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 23, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#DevOps #Consulting #Cloud #Azure #Docker #Kubernetes #Scala #Agile #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Databases #Data Engineering #Azure DevOps
Role description
Prana Tree is a fast-growing IT consulting and product innovation firm and we specialize in AI, Data Engineering, Blockchain, and Cloud solutions. We’re currently hiring for our US-based global management consulting and technology client, a market leader in healthcare and life sciences. Headquartered in Illinois (USA) and present across 30+ countries, the firm employs over 17,000 professionals worldwide across consulting, technology, and business operations. We are looking for LLM Engineers for their office (Hybrid – 3 days in office). It will start off as a 6-9 month long contract with possible conversion to a Full time role, else the contract will be extended. If you’re passionate about building cutting-edge applications and working with the latest in AI, this could be a great fit! Job Locations: - Chicago, Princeton, NY (Hybrid) Visa statuses accepted:- USC, GC, GC EAD, H4 EAD. Role Highlights • Design and develop LLM-based apps using APIs (OpenAI, Claude, Gemini) • Build AI workflows with Lang Graph, DSPy, and tool-use frameworks • Implement vector databases (Qdrant, Milvus, Pgvector) for semantic search • Optimize prompts, orchestration, and scalability for high performance • Collaborate with cross-functional teams in an Agile setup Key Requirements • 4+ years in software development, including 2+ years in LLM/AI applications • Hands-on with LLM APIs & vector DBs • Experience with Lang Graph, DSPy, MCP servers, and Azure DevOps Good to Have: RAG pipelines, MLOps, multi-cloud (Azure/AWS/GCP), Docker/Kubernetes