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Mid-level AI role with broad generative-AI requirements, modest employer brand, and non-metro location.
High — specialized LLM, RAG, vector DB, and prompt-engineering skills limit cross-industry portability.
High — explicit 3+ years plus many mandatory GenAI, LangChain, vector DB, and deployment skills.
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Design, develop, and deploy scalable AI-powered applications focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Build AI assistants, chatbots, and conversational AI solutions integrating vector databases and enterprise systems.
Optimize AI applications for performance, scalability, and cost while collaborating with cross-functional teams to drive AI adoption.
Bachelor's or Master's degree in Computer Science, AI, IT, Data Science, or related field.
Minimum 3+ years of experience in AI/ML, NLP, or Generative AI application development.
Strong programming skills in Python and hands-on experience with NLP, LLMs, Generative AI, LangChain, and prompt engineering.
Experience with vector databases (Weaviate, ChromaDB, FAISS), REST API development (FastAPI or Flask), and PostgreSQL/PostGIS.
Experienced in developing enterprise-grade AI applications using modern AI frameworks and vector databases.
Proficient in integrating AI models with business applications and optimizing for scalability and latency in production environments.
Technical breadth across AI governance, MLOps, prompt engineering, and collaboration with software and data teams in a product-driven setting.