GenAI Developer - Rate $55

Hi,

Hope you are doing well.

Please find the below JD and let me know your interest at your earliest convenience.

We are seeking a GenAI Developer with strong experience building enterprise-grade Generative AI solutions, particularly within highly regulated environments like Health Insurance. The ideal candidate will have hands-on expertise in LLM orchestration, RAG pipelines, unstructured data processing, and secure AI solution development, with a strong understanding of compliance, scalability, and production deployment.

Required Skills & Qualifications

Strong experience developing Generative AI / LLM-based applications in enterprise environments

Hands-on expertise with LangChain, LlamaIndex, and building RAG (Retrieval-Augmented Generation) solutions

Proficiency in Python with experience in FastAPI or Flask for scalable AI microservices

Experience with Vector Databases such as Pinecone, ChromaDB, Milvus, including embeddings, chunking strategies, and semantic search

Solid understanding of Prompt Engineering, Fine-tuning, Agentic AI, Multi-Agent Systems, and Chain of Thought (CoT) techniques

Experience with HuggingFace, PyTorch, TensorFlow and modern LLM ecosystems

Strong exposure to IBM Watsonx, Azure OpenAI, or AWS Bedrock (Watsonx highly preferred)

Experience processing unstructured data including policy documents, claims files, clinical reports, and PDFs

Hands-on with OCR and document extraction tools such as Unstructured.io, PyMuPDF, or similar frameworks

Knowledge of HIPAA, PII masking, data privacy, and secure handling of sensitive healthcare data

Experience building GenAI solutions that support insurance workflows, claims assistance, policy Q&A, or agent-assist use cases

Evaluation & Quality Engineering

Experience implementing GenAI evaluation frameworks such as TruLens, Ragas, or DeepEval

Ability to improve model response quality, reduce hallucinations, and establish performance metrics for production AI systems

Preferred Background

Experience designing Human-in-the-Loop AI solutions and intelligent agent-assist platforms

Strong backend engineering foundation with CI/CD, API development, and production support

Experience with vector embeddings, semantic search, model optimization/quantization, and scalable AI architectures