Senior AI Developer

Navsan; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Navsan is seeking a senior AI/ML professional to design, develop, and deploy enterprise AI/ML models. You will build Generative AI solutions using LLMs, create AI-powered APIs, and lead end-to-end project lifecycles.

The role requires deep Python expertise, hands‑on experience with TensorFlow/PyTorch and cloud platforms (Azure/AWS/GCP), and strong stakeholder communication. On-site opportunity in Hyderabad, with mentoring duties for junior engineers.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• 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.
• Implement best practices for MLOps, model monitoring, and performance optimization.

Skills

Python programming

AI/ML

Generative AI

TensorFlow

PyTorch

scikit-learn

Large Language Models

Cloud deployment

Azure

AWS

GCP

Data engineering

ETL

SQL/NoSQL

API development

REST

FastAPI

Communication

Independent work

Education

Bachelor’s degree in Computer Science/Engineering

Master’s degree preferred

Tools

FastAPI

Docker

Kubernetes

Azure OpenAI

Azure ML

Cognitive Services

Bicep

Job description

• 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).
• Strong 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 Qualifications

• 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.

Key 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.

• Mentor junior developers and AI engineers.
• Contribute to knowledge sharing and technical capability building within the team.
• Stay updated with the latest trends in AI, Machine Learning, and Generative AI technologies.