AI Engineer / AI Agent Developer

Jobaaj Com; Pune District, Gurugram District, Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Jobaaj Com in Pune is seeking an AI Engineer / AI Agent Developer to design and build autonomous AI agents and LLM-powered applications that reason, use tools, and automate business workflows.

You will work with product, engineering, and data teams to deploy agents, integrate with external APIs, and implement guardrails, memory, and context management for production use.

Qualifications

• Bachelor's or master's degree in CS, AI, DS, or related field.
• 0 to 2 years of AI/ML or software development experience.
• Strong Python programming skills.
• Experience with LLM APIs (OpenAI, Anthropic, Google Gemini, Hugging Face).
• Knowledge of prompt engineering, RAG, embeddings, and REST APIs.

Responsibilities

• Design, build, and deploy AI agents and multi-agent systems that automate tasks.
• Develop applications using LLMs (GPT, Claude, Llama, Gemini, etc.) and their APIs.
• Build RAG pipelines with vector databases and embeddings.
• Implement tool calling, function calling, and workflow orchestration for agents.
• Use agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.
• Apply prompt engineering techniques to improve agent accuracy, reliability, and safety.
• Integrate agents with external APIs, databases, and business tools (CRM, Slack, email).
• Build chatbots, copilots, and process automation solutions.
• Evaluate and monitor agent performance, latency, cost, and hallucination rates.
• Implement guardrails, memory, and context management for production agents.
• Deploy AI applications on cloud platforms using APIs and microservices.
• Collaborate with product, engineering, and data teams to define AI use cases.
• Stay updated on the latest AI research, agent frameworks, and tools.

Skills

Python

Problem-solving

Communication

Education

Bachelor's/Master's degree in CS/AI/DS

Tools

Python

LLM APIs

REST APIs

JSON

FastAPI

Flask

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

Job description

We are hiring an AI Engineer / AI Agent Developer on behalf of our client. This role involves designing and building intelligent AI agents and LLM-powered applications that can reason, use tools, and automate real business workflows. It's a great opportunity for someone passionate about the future of AI who enjoys building autonomous systems and turning ideas into working products.

Role & responsibilities

• Design, build, and deploy AI agents and multi-agent systems that automate complex tasks
• Develop applications using LLMs (GPT, Claude, Llama, Gemini, etc.) and their APIs
• Build RAG (Retrieval-Augmented Generation) pipelines with vector databases and embeddings
• Implement tool calling, function calling, and workflow orchestration for agents
• Use agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen
• Apply prompt engineering techniques to improve agent accuracy, reliability, and safety
• Integrate agents with external APIs, databases, and business tools (CRM, Slack, email, etc.)
• Build chatbots, copilots, and process automation solutions
• Evaluate and monitor agent performance, latency, cost, and hallucination rates
• Implement guardrails, memory, and context management for production agents
• Deploy AI applications on cloud platforms using APIs and microservices
• Collaborate with product, engineering, and data teams to define AI use cases
• Stay updated on the latest AI research, agent frameworks, and tools

Preferred candidate profile

• Bachelor's/Master's degree in Computer Science, AI, Data Science, or related field
• 0 to 2 years of experience in AI/ML, software development, or related role (internships and projects count)
• Strong programming skills in Python (JavaScript/TypeScript is a plus)
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini, Hugging Face)
• Good understanding of prompt engineering, RAG, and embeddings
• Knowledge of REST APIs, JSON, and backend development (FastAPI, Flask)
• Basic understanding of machine learning and NLP concepts
• Strong problem-solving and analytical skills
• Good communication skills and eagerness to learn