Gen AI Engineer

Job Description: Generative AI Engineer

Location: Pune

Experience: 1-4 years

Role Overview

We are looking for a Generative AI Engineer who will design, build, deploy, and maintain large language model (LLM)-based solutions. This engineer will work closely with architecture, data science, product, and operations teams to integrate GenAI capabilities into our insurance business processes such as claims automation, intelligent customer support, underwriting, fraud detection, policy servicing, knowledge management, etc.

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.