Apply Now Gen AI Engineer

4 days ago

Solāpur, India SID Global Solutions Full time

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.

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