Gen AI Engineer

Location:

Experience

Role Overview

Generative AI Engineer

Key Responsibilities

• Design, build, and deploy solutions using large language models (open source and/or proprietary) to address insurance domain use-cases (e.g. document understanding, claims summarization, question answering, policy retrieval, chatbots).
• Evaluate, select, fine-tune, and optimize LLMs for latency, accuracy, cost, security, and compliance.
• Work on prompt engineering, data preparation, annotation, and feedback loops to improve model performance.
• Model monitoring, performance metrics, bias detection, maintenance of model drift, guardrails.
• Architecting GenAI solutions on cloud infrastructure (AWS / Azure / GCP / hybrid) ensuring scalability, reliability, cost effectiveness, and security.
• Integrate GenAI components into existing systems (APIs, microservices, UI/UX interfaces) and pipelines.
• Ensure data privacy, regulatory compliance (IRDAI, etc.), and internal security standards in handling sensitive data.
• Collaborate with cross-functional teams: product, legal/compliance, IT ops, data engineering, UX.
• Stay up to date with the latest developments in generative models, LLMs, and AI/ML best practices.

Required Skills & Experience

Must-haves

● Experience in building and deploying NLP / LLM / GenAI projects.

● Solid understanding of cloud architecture: compute, storage, networking, serverless / containers / Kubernetes.

● Hands-on with one or more LLM platforms/frameworks: OpenAI, Anthropic, Hugging Face, Llama/OpenLlama, etc.

● Experience with fine-tuning / prompt engineering / evaluating LLMs (metrics, biases, hallucinations).

● Strong programming skills: Python, possibly some experience with Java / Scala / etc.

● Experience building APIs, microservices, integrating models into production pipelines.

● Familiarity with insurance regulations, data privacy laws in India.

● Good knowledge of ML engineering / MLOps: versioning, CI/CD, model monitoring, logging.

● Ability to work with unstructured data (documents, PDFs, scanned images) and preprocess / clean / extract information.

Nice-to-haves

● Experience in insurance domain (claims, underwriting, risk management).

● Experience with multi-modal models (e.g. images + text) or vision-language models.

● Experience with multilingual LLMs (especially Indian languages).

● Familiarity with responsible AI / ethics, model interpretability.

● Prior experience deploying large models on edge or offline settings.

● Experience with cloud cost optimization for AI workloads.

● Skills in frontend integration (for chatbot or user-facing UI).

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field.
• Proven track record of shipping AI/ML systems, ideally with visible metrics showing impact.
• Strong communication skills, ability to explain technical concepts to non-technical stakeholders.