LLM Engineer OpenAI & LangChain
LLM Engineer OpenAI & LangChain
Posted on :
23-07-2025
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1 Vacancy
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Job Description
LLM Engineer OpenAI & LangChain
Drive cutting-edge AI innovation in the insurance industry as an LLM Engineer. Use OpenAI LangChain and Azure to build scalable production-ready Generative AI systems. Work on advanced RAG pipelines and agentic workflows in a hybrid setup. Strong coding and real-world deployment skills are key.
What is in it for you:
Salaried: $60-75 per hour.
Incorporated Business Rate: $75-90 per hour.
5-month contract with the potential for permanent employment.
Full-time position: 37.50 hours per week.
Weekday schedule from 9 am to 5 pm.
Hybrid work: in-office Tuesday to Thursday.
Responsibilities:
Design build and deploy LLM-powered applications using OpenAI APIs LangChain and related frameworks.
Develop Retrieval-Augmented Generation (RAG) pipelines agentic workflows and chatbot systems.
Fine-tune and optimize LLMs to support business use cases with minimal hallucinations.
Apply prompt engineering and evaluation techniques to improve model outputs.
Integrate solutions with Azure Databricks Azure Cognitive Search and VectorDBs (FAISS Pinecone).
Collaborate cross-functionally to scope prototype and productionize AI systems.
Employ LLMOps and MLOps practices for deployment monitoring and lifecycle management.
Stay up to date on trends in GenAI LLMs and open-source tools.
What you will need to succeed:
Bachelors degree in computer science computer engineering or a related technical field.
Proficiency in Python and related libraries.
2 years of hands-on experience in NLP LLMs and Generative AI.
Strong understanding of prompt engineering and LLM fine-tuning.
Experience with OpenAI APIs LangChain and Retrieval-Augmented Generation (RAG) architectures.
Working knowledge of Model Context Protocol (MCP) and its application in LLM systems.
Experience with cloud platforms such as Azure (preferred) AWS or GCP.
Hands-on experience with Databricks and Azure Cognitive Search.
Familiarity with Vector Databases (e.g. FAISS Pinecone Weaviate) and agent frameworks (e.g. Autogen).
Experience with DevOps/MLOps tools such as Git Docker MLflow and Kubernetes.
Strong communication skills with the ability to translate technical concepts into business value.
Nice to have: Experience with Streamlit Flask or JavaScript for building interactive frontends.
Why Recruit Action
Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.
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