Senior AI Engineer

This is a remote position.

Overview :

Design, build, and deploy production-ready AI applications—including RAG-powered solutions, conversational AI, and document intelligence—on Azure/AWS/GCP. Collaborate with architects, data engineers, and domain SMEs to deliver outcomes in areas like FNOL, claims automation, underwriting, and agent assist.

 Key Responsibilities

- Design and implement end-to-end AI/ML solutions from data prep to production deployment.
- Build RAG pipelines with robust retrieval, re-ranking, grounding, and evaluation.
- Develop AI applications such as conversational agents and document intelligence workflows (extraction, classification, validation).
- Implement image/document processing (OCR, layout analysis, table extraction, redaction).
- Integrate with enterprise systems and APIs; enable tool use/function calling where applicable.
- Optimize for latency, accuracy, cost, and safety.
- Package and deploy with Docker/Kubernetes/Serverless; automate with CI/CD.
- Write clean, testable code; contribute to internal accelerators, templates, and best practices.

Requirements

Required Skills & Experience

- 2–5 years of hands-on experience delivering AI/ML software to production.
- Strong in Python and one of PyTorch / TensorFlow.
- Solid understanding of LLMs, prompting, function calling/tools, evaluation, and vector search.
- Experience with RAG (indexing, chunking, embeddings, retrieval, re-rankers, grounding).
- Practical exposure to Document AI and Conversational AI in real-world workflows.
- Cloud experience on Azure, AWS, or GCP.

Benefits

Benefits