AI Apps Architect

SteerLean Consulting; Gurugram District; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

SteerLean Consulting is seeking an AI Agent Architect in India to design and deploy advanced agentic AI systems that coordinate multi-agent workflows for complex technical decisions. You will deliver full-stack intelligent agents that interpret natural language queries and generate precise outputs by interacting with structured and unstructured data, APIs, and analytics engines.

In this role, you will collaborate with domain experts, implement safeguards for accuracy and reliability, and

Qualifications

• Demonstrated expertise in building agentic AI architectures using LangChain, AutoGen, CrewAI, or custom stacks.
• Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.
• Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
• Ability to work with APIs, data models, and external toolchains across complex systems.
• Comfortable operating independently with minimal supervision in a cross-functional environment.

Responsibilities

• Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.
• Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.
• Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
• Collaborate with domain experts to align agent behavior with technical expectations and constraints.
• Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
• Continuously optimize prompting, agent orchestration, and performance under real-world conditions.

Skills

Agentic AI architectures

LangChain / AutoGen / CrewAI

LLM-based NLP

Python programming

API integration

Independent work

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

AutoGen

CrewAI

Job description

Job Description

We are seeking a hands‑on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems—comprising task‑specific autonomous tools governed by a master agent—to support complex technical decision‑making in industrial environments. This high‑impact individual contributor role delivers full‑stack intelligent agents that interpret natural language queries and generate precise, context‑aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.

Key Responsibilities

• Architect and develop a multi‑agent AI framework where autonomous agents coordinate to solve domain‑specific technical queries.
• Leverage LLMs, NLP, and tool‑based reasoning to automate data extraction, analysis, and insight generation.
• Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
• Collaborate with domain experts to align agent behavior with technical expectations and constraints.
• Implement safeguards to ensure accuracy, traceability, and reliability of AI‑generated outputs.
• Continuously optimize prompting, agent orchestration, and performance under real‑world conditions.

Required Skills And Experience

• Demonstrated expertise in building agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.
• Strong foundation in LLM‑based NLP, prompt engineering, and context‑aware reasoning.
• Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
• Ability to work with APIs, data models, and external toolchains across complex systems.
• Comfortable operating independently with minimal supervision in a cross‑functional environment.

Nice To Have

• Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
• Understanding of vector databases, knowledge graphs, and retrieval‑augmented generation.
• Familiarity with Azure or AWS development environments.

Certifications

• Azure AI Engineer or Azure Data Engineer certification is a plus.
• AWS experience is nice to have, but not required.

Industry Experience

Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.