Role & responsibilities

We are looking for a Software Engineer with US Healthcare background with 3-6 years of Programming experience in AI, LLM, FastAPI, Python, Snowflake, GenAI & CICD.
Technical Skills:
• Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow).
• Good to have knowledge on CICD Pipelines creation & Airflow
• Experience with LLM frameworks such as Hugging Face Transformers and LangChain, including prompt engineering and fine-tuning techniques.
• Hands-on with libraries such as AutoGen, CrewAI, and LangGraph, and skilled in orchestrating agent workflows using LLM-based planning, retrieval, and action chaining.
• Knowledge of RAG pipelines and semantic search using vector databases and retrieval-augmented generation techniques
• Hands-on experience with model optimization techniques including quantization (GPTQ, AWQ), pruning, and distillation for efficient deployment.
• Proficiency in multimodal AI development, integrating text, vision,



and audio using models like CLIP, BLIP, Whisper, and LLaVA.
• LLM Infrastructure & Deployment: Skilled in serving models using FastAPI, managing vector databases (FAISS, Pinecone, Chroma), and building scalable inference pipelines.
• Software Engineering & Development: Solid coding practices with Python, and experience in microservices, test-driven development, and concurrency
• DevOps & Infrastructure: Experience with CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes, Helm).
• Cloud Optimization: Familiarity with deploying AI workloads on AWS, Azure, or GCP using tools like SageMaker
• Version control and experiment tracking using Git, MLflow, and other MLOps tools for reproducibility and collaboration.
• Lead development of scalable data pipelines and ETL/ELT workflows using Snowflake, ensuring performance, security, and cloud integration (AWS/Azure/GCP).
Domain Expertise:
• Healthcare

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