Senior Python AI Engineer

Arting Digital; Remote; INR 81,30,000 - 1,17,44,000; Full time

Job summary

A leading tech company is looking for a Senior Python AI Engineer to design and implement innovative AI solutions for global clients. The ideal candidate should have over 7 years of experience in Python development, expertise in FastAPI and Flask, and familiarity with Generative AI models. This is a remote position with opportunities for impactful work and leadership. If you have a passion for AI and thrive in a collaborative environment, we would love to hear from you.

Qualifications

• 7+ years of experience in Python development with hands-on expertise.
• Strong proficiency in FastAPI, Flask, Pydantic, and SQLAlchemy.
• Experience with LLMs and Generative AI models.

Responsibilities

• Design and develop AI systems and microservices using Python.
• Manage GenAI workflows using modern LLM frameworks.
• Lead AI project delivery from requirements to production.

Skills

Python development

FastAPI

Flask

Pydantic

SQLAlchemy

LLMs

GenAI

LangChain

LangGraph

LlamaIndex

REST APIs

Cloud deployment

MLOps/LLMOps

CI/CD

Git

Job description

Position: Senior Python AI Engineer

Experience: 7+ Years

Location: Remote

Notice Period: Immediate – 15 Days

Job Summary

We are hiring a Senior Python AI Engineer to lead the design and delivery of AI and Generative AI solutions for global clients.

Key Responsibilities

• Design and develop Python-based AI systems, APIs, and microservices
• Build and manage GenAI and agentic AI workflows using modern LLM frameworks
• Lead end-to-end AI project delivery, from requirements to production
• Design LLM pipelines, prompts, and agent orchestration systems
• Ensure scalability, security, and reliability of AI solutions
• Mentor junior engineers and provide technical leadership
• Collaborate with global clients to translate business needs into AI solutions

Required Skills

• 7+ years of hands‑on Python development experience
• Strong knowledge of FastAPI, Flask, Pydantic, SQLAlchemy
• Experience with LLMs & GenAI (OpenAI, Claude, Gemini, open‑source models)
• Hands‑on with agentic AI frameworks (LangChain, LangGraph, LlamaIndex, etc.)
• Experience with REST APIs, microservices, and cloud‑native architectures
• Cloud deployment experience on AWS / Azure / GCP
• Familiarity with MLOps/LLMOps, CI/CD, Git, and production pipelines

Good to Have

• Advanced cloud architecture experience
• Model monitoring, evaluation, and observability exposure