Requirements

Minimum 10 years of software development experience.
At least 3 years of hands-on experience in AI/ML and Generative AI.
Strong programming skills in Python.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
Hands-on experience with Large Language Models (LLMs) and Generative AI technologies such as OpenAI or Azure OpenAI.
Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP).
Solid understanding of data engineering, ETL pipelines, and database technologies (SQL/NoSQL).
Experience with API development and integration (REST, FastAPI, etc.).
Excellent communication and stakeholder management skills.
Ability to work independently with minimal supervision.
Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred).
Preferred Skills
Experience in insurance or financial services domains.
Knowledge of LLM frameworks such as LangChain, Langfuse, or similar tools.
Experience with Prompt Engineering and Retrieval-Augmented Generation (RAG).
Hands-on experience with Azure services such as Azure OpenAI, Azure ML, and Cognitive Services.
Understanding of containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
Exposure to Infrastructure as Code tools such as Bicep.

Responsibilities

AI Solution Development
Design, develop, and deploy AI and Machine Learning models for enterprise applications.




Build and implement Generative AI solutions using Large Language Models (LLMs).
Develop and integrate AI-powered APIs and microservices using frameworks such as FastAPI or REST APIs.
Project & Technical Leadership
Lead technical discussions with IT partners, vendors, and internal stakeholders.
Manage end-to-end AI project lifecycles, from concept and design to deployment and optimization.
Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
AI Architecture & Innovation
Evaluate and recommend AI technologies, tools, and platforms based on business requirements.
Conduct proof-of-concepts (POCs) and technical evaluations of AI/ML platforms.
Document technical architectures, design decisions, and implementation guidelines.
MLOps & Performance Optimization
Implement best practices for MLOps, model monitoring, and performance optimization.
Ensure models are scalable, reliable, and production-ready in enterprise environments.
Work with data engineering pipelines and ETL processes for AI model training and deployment

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior AI Developer (India)
🏢 Navsan
📍 India