Sr AI Developer

Navsan; United States; À distance; USD 150 000 - 230 000; Plein temps

Résumé du poste

Navsan is seeking an experienced AI Developer to lead the design, development, and deployment of enterprise AI solutions. You will build Generative AI capabilities, create AI-powered APIs, and guide cross-functional teams through end-to-end AI lifecycles.

The role emphasizes strong Python engineering, cloud deployment across Azure/AWS/GCP, and hands-on work with LLMs and MLOps. A collaborative, mentorship-focused mindset is essential for success at Navsan.

Qualifications

• Minimum 10 years of software development experience.
• At least 3 years of hands-on AI/ML and Generative AI experience.
• Strong programming skills in Python.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience with LLMs and Generative AI like 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).
• Excellent communication and stakeholder management skills.
• Ability to work independently with minimal supervision.
• Bachelors degree in Computer Science, Engineering, or related field (Masters preferred).

Responsabilités

• Design, develop, and deploy AI and ML models for enterprise applications.
• Build and implement Generative AI solutions using LLMs.
• Develop and integrate AI-powered APIs and microservices (FastAPI, REST).
• Lead technical discussions with IT partners, vendors, and stakeholders.
• Manage end-to-end AI project lifecycles from concept to deployment.
• Collaborate with cross-functional teams to translate business needs into AI solutions.
• Evaluate AI technologies and perform proof-of-concepts (POCs) and evaluations.
• Document architectures, decisions, and implementation guidelines.
• Implement MLOps practices, model monitoring, and performance optimization.
• Mentor junior developers and contribute to knowledge sharing.

Connaissances

Python

TensorFlow

PyTorch

LLMs / Generative AI

API development

Cloud platforms (Azure/AWS/GCP)

Data engineering / ETL

SQL/NoSQL

REST / FastAPI

Communication

Independent work

Formation

Bachelor's degree in CS/Engineering

Masters preferred

Outils

TensorFlow

PyTorch

scikit-learn

LangChain

Langfuse

Azure OpenAI

Azure ML

Docker

Kubernetes

FastAPI

REST APIs

SQL/NoSQL

Description du poste

Shift Timing: 3:00 PM 12:00 AM IST

Experience Required: 10+ Years (including 3+ years in AI/ML)

About the Role

We are seeking an experienced AI Developer to join our team and contribute to the development of enterprise-level AI solutions. The ideal candidate will be a self-driven professional who can independently manage projects, collaborate effectively with IT partners, and lead technical discussions with internal teams and stakeholders.

This role requires a strong combination of technical expertise, problem-solving ability, and communication skills, along with the capability to translate business requirements into scalable AI-powered solutions.

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.

Collaboration & Mentorship

• 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.

Required 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.
• 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.
• Bachelors degree in Computer Science, Engineering, or related field (Masters 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.

Our Culture

• Innovation-driven environment
• Collaborative team culture
• Strong work-life balance
• Continuous learning and development
• Regular team-building activities