Job Description
Company: Grey Chain AI
Location: Delhi/NCR/Remote
Experience: 35 Years
Employment Type: Full Time
About the Role
We are looking for a Mid-Level Python AI Engineer to join our growing AI engineering team and
contribute to building production-grade GenAI and agentic AI solutions for global clients.
This role is ideal for engineers with strong Python fundamentals, hands-on experience in
backend/API development, and exposure to modern AI/LLM ecosystems. You will work closely
with senior engineers, product teams, and client stakeholders to develop scalable AI-powered
applications and intelligent workflows.
Key Responsibilities
- Develop and maintain Python-based backend systems, APIs, and microservices.
- Build and integrate GenAI and agentic AI workflows using modern LLM frameworks.
- Contribute to development of AI-powered applications, copilots, and automation
systems.
- Work on prompt engineering, tool integrations, retrieval workflows, and orchestration
pipelines.
- Collaborate with cross-functional teams to understand business requirements and
translate them into scalable technical solutions.
- Ensure code quality, performance, reliability, and maintainability of AI systems.
- Participate in deployment, debugging, testing, and optimization of production systems.
- Stay updated with emerging trends in GenAI, LLMs, and AI engineering best practices.
Must-Have Technical Skills
- 3–5 years of hands-on experience in Python development.
- Strong understanding of Python frameworks and libraries such as FastAPI, Flask,
Pydantic, SQLAlchemy, etc.
- Exposure to Generative AI / Agentic AI ecosystems and LLM-based applications.
Hands-on experience with LangChain, LangGraph, LlamaIndex, or similar frameworks is
preferred.
- Understanding of REST APIs, backend architecture, and microservices concepts.
- Good knowledge of databases, API integrations, and scalable application design.
- Familiarity with Git, version control, and collaborative development workflows.
Preferred Skills
- Exposure to OpenAI, Claude, Gemini, or open-source LLMs.
- Basic understanding of cloud platforms such as AWS, Azure, or GCP.
- Knowledge of vector databases, RAG pipelines, and prompt engineering concepts.
- Experience with Docker, CI/CD pipelines, or deployment workflows is a plus.
- Interest or exposure to AI agents, automation systems, or LLMOps concepts.
What We Look For
- Strong problem-solving and analytical thinking skills.
- Good communication and collaboration abilities.
- Ownership mindset with willingness to learn and adapt quickly.
- Ability to work in a fast-paced, product-focused environment.
- Passion for AI, emerging technologies, and building real-world solutions.
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 production-ready AI systems that solve real business problems across BFSI,
Non-profits, Retail, and Consulting industries.
At Grey Chain AI, you will work on cutting-edge AI products, collaborate with experienced
teams, and gain hands-on exposure to real-world GenAI implementations at scale.