Senior AI Engineer - On-site or Hybrid Opportunity

Senior AI Engineer - On-site or Hybrid Opportunity

Job Description : As a Senior AI Engineer, you will be responsible for designing, building, and deploying solutions that leverage large language models (LLMs), Generative AI, and natural language processing (NLP) to enhance customer and agent experiences. This includes developing intelligent automation, AI-powered services, and supporting teams in the responsible and effective use of AI technologies.

Success in this role requires creativity, a passion for learning, and the ability to clearly explain complex ideas. You'll join a team that values curiosity, open communication, and a strong commitment to responsible AI—working together to create smart, impactful tools that make a real difference.

Responsibilities

• Multimodal Data Processing and Automation : Ingest and preprocess diverse file types : PDFs, scanned images, emails (EML / MSG), audio, video, and structured / unstructured text from content management systems.
• Apply OCR (Optical Character Recognition) and speech-to-text models to extract meaningful data from documents and media.
• Use LangChain + LangGraph to orchestrate agentic workflows for parsing and reasoning across multimodal inputs.
• Build AI pipelines that classify, extract, and validate key entities (e.g., policy numbers, claim dates, insured parties) from documents.
• Integrate LLMs via Bedrock or Hugging Face to summarize, interpret, and flag anomalies in claims and underwriting documents.
• Implement retrieval-augmented generation (RAG) using Vector DBs to ground LLM responses in enterprise knowledge.

AWS Cloud Engineering Activities

Model Development & Deployment

MLOps & DevOps Integration

Data Engineering & Pipelines

Ethical, Legal & Compliance

Staying Ahead of AI Trends

Skills / Qualifications

Compensation

Benefits

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