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Urgent! Large Language Model Engineer Job Opening In India, India – Now Hiring SID Global Solutions

Large Language Model Engineer



Job description

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.


Required Skill Profession

Computer Occupations



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