Experience : 2 +Years

Location : Gurgaon

Mandatory Skills : Gentic workflow, LLM applications: RAG/retrieval,python , multiagent workflow,graph databases, LangGraph.

What you will do :

- Own the evolution of the product’s agentic architecture.
- Build the intelligence that turns customer operational data into trusted answers, alerts, recommendations and workflows.
- Work closely with the Supply Chain Data Scientist to make advanced supply chain intelligence accessible through reliable, explainable AI services.
- Build conversational experiences across web and WhatsApp.
- Establish robust practices for AI evaluation, observability and continuous improvement.
- Work across the product and engineering team to determine where deterministic logic, statistical models and generative AI provide the best solution to a problem.

Requirements

- Experience in applied AI/ML engineering, graph/data systems or backend engineering for AI products.
- Solid Python and experience building APIs, data pipelines and production services.
- Hands-on experience with LLM applications: RAG/retrieval, embeddings, function/tool calling, structured outputs, agent workflows and evaluation.
- Strong software-engineering habits:



modular code, testing, version control, observability and documentation.
- Comfortable working with ambiguous problems and turning them into reliable, testable AI systems
- Experience with graph databases, LangGraph or equivalent agent orchestration frameworks, conversational systems, AI observability or supply-chain/enterprise workflows is a plus.

Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,800,000.00 per year

Benefits

- Flexible schedule
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund

Application Question(s):
- What is your current CTC?
- What is your expected CTC?
- What is your official Notice period?
- Do you have the experience in Supply Chain/Data Engineering Domain?

Experience:
- AI Engineer: 2 years (Preferred)
- Gentic workflow, Multiagent workflow,: 2 years (Preferred)
- LLM applications: RAG/retrieval: 2 years (Preferred)
- Python: 2 years (Preferred)
- APIs, data pipelines and production services: 2 years (Preferred)

Location:
- Gurugram, Haryana (Preferred)

Work Location: In person

📌 AI Engineer (Gurugram)
🏢 Bigbell
📍 Gurugram