Artificial Intelligence Engineer

SourcingXPress; New Delhi; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Grey Chain AI in India seeks a Senior Python AI Engineer to lead production-grade GenAI and agentic AI solutions for global clients. You will own delivery, guide teams, and collaborate with product and client stakeholders to build scalable AI systems.

Looking for a strong Python engineering background, experience with foreign enterprise clients, and hands-on work on GenAI, LangChain, and cloud-native architectures. Remote-ready, with global delivery exposure.

Qualifications

• 7+ years of hands-on Python backend development experience.
• Strong experience with Python frameworks such as FastAPI, Flask, Pydantic, SQLAlchemy.
• Hands-on experience with GenAI / LLM systems and enterprise clients.
• Experience designing multi-agent workflows and tool calling.

Responsibilities

• Lead the design and development of Python-based AI systems, APIs, and microservices.
• Architect GenAI and agentic AI workflows using modern LLM frameworks.
• Own end-to-end delivery for international clients from requirements to production.
• Design LLM pipelines, prompt workflows, and agent orchestration.
• Ensure reliability, scalability, and security of AI solutions in production.
• Mentor junior engineers and provide technical leadership.
• Collaborate with clients to translate business needs into robust AI solutions.
• Drive adoption of GenAI trends and best practices across projects.

Skills

Python backend development

GenAI / LLMs

LangChain / agentic AI

Team leadership

REST APIs / microservices

Cloud deployment (AWS/GCP/Azure)

CI/CD / production deployment

Git version control

Tools

FastAPI

Flask

Pydantic

SQLAlchemy

OpenAI / Claude / Gemini

LlamaIndex

Job description

Company: Grey Chain AI

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Small/Medium Business

Company Type: Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

Salary Range: ₹ 20-30 Lacs PA

Job Description

Why Grey Chain AI

Grey Chain AI is a Generative AI-as-a-Service and Digital Transformation company trusted by global brands such as UNICEF, BOSE, KFINTECH, WHO, and Fortune 500 companies. We build real-world, production-ready AI systems that drive business impact across industries like BFSI, Non-profits, Retail, and Consulting.

Here, you won’t just experiment with AI — you will build, deploy, and scale it for the real world.

About The Role

We are looking for a Senior Python AI Engineer who will lead the design, development, and delivery of production-grade GenAI and agentic AI solutions for global clients. This role requires a strong Python engineering background, experience working with foreign enterprise clients, and the ability to own delivery, guide teams, and build scalable AI systems. You will work closely with product, engineering, and client stakeholders to deliver high-impact AI-driven platforms, intelligent agents, and LLM-powered systems.

Key Responsibilities

• Lead the design and development of Python-based AI systems, APIs, and microservices.
• Architect and build GenAI and agentic AI workflows using modern LLM frameworks.
• Own end-to-end delivery for international clients, from requirements to production
• Design and implement LLM pipelines, prompt workflows, and agent orchestration systems.
• Ensure reliability, scalability, and security of AI solutions in production.
• Mentor junior engineers and provide technical leadership to the team.
• Work closely with clients to understand business needs and translate them into robust AI solutions.
• Drive adoption of latest GenAI trends, tools, and best practices across projects.

Required Technical Skills

• 7+ years of hands-on experience in Python development, building scalable backend systems.
• Strong experience with Python frameworks and libraries (FastAPI, Flask, Pydantic, SQLAlchemy, etc.).
• Solid experience working with LLMs and GenAI systems (OpenAI, Claude, Gemini, open-source models).
• Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
• Experience designing multi-agent workflows, tool calling, and prompt pipelines.
• Strong understanding of REST APIs, microservices, and cloud-native architectures.
• Experience deploying AI solutions on AWS, Azure, or GCP.
• Knowledge of MLOps / LLMOps, model monitoring, evaluation, and logging.
• Proficiency with Git, CI/CD, and production deployment pipelines.

Leadership & Client-Facing Experience

• Proven experience leading engineering teams or acting as a technical lead.
• Strong experience working directly with foreign or enterprise clients.
• Ability to gather requirements, propose solutions, and own delivery outcomes.
• Comfortable presenting technical concepts to non-technical stakeholders.

What We Look For

• Excellent communication, comprehension, and presentation skills.
• High level of ownership, accountability, and reliability.
• Self-driven professional who can operate independently in a remote setup.
• Strong problem-solving mindset and attention to detail.
• Passion for GenAI, agentic systems, and emerging AI trends.