Gen ai engineer

Job Description: Generative AI EngineerLocation: PuneExperience: 1-4 yearsRole OverviewWe 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 Gen AI 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 Gen AI solutions on cloud infrastructure (AWS / Azure / GCP / hybrid) ensuring scalability, reliability, cost effectiveness, and security.- Integrate Gen AI 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 & ExperienceMust-haves● Experience in building and deploying NLP / LLM / Gen AI projects.● Solid understanding of cloud architecture: compute, storage, networking, serverless / containers / Kubernetes.● Hands-on with one or more LLM platforms/frameworks: Open AI, Anthropic, Hugging Face, Llama/Open Llama, 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.