Agentic AI Engineer

Konstant Infosolutions Pvt. Ltd.; Jaipur; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Konstantinfo is seeking an AI Agent Engineer to design, build, and deploy autonomous AI agents that can reason, plan, and execute multi-step business workflows. You will connect LLMs to APIs, databases, and enterprise tools to create production-ready single and multi-agent applications.

The role emphasizes tool-calling, memory, planning, and robust execution, with focus on safety, observability, and scalable architectures.

Qualifications

• 3+ years of experience in software engineering, AI engineering, machine learning, or related roles.
• Strong proficiency in Python and backend API development using FastAPI, Flask, or Django.
• Hands-on experience with LLM APIs and agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.
• Experience building tool-calling workflows and integrating AI systems with REST APIs, databases, queues, and enterprise tools.
• Strong understanding of RAG, embeddings, vector databases, semantic search, prompt design, and context management.
• Familiarity with multi-agent orchestration, state handling, workflow execution, and memory patterns.
• Experience deploying and monitoring AI applications on AWS, GCP, or Azure.
• Knowledge of LLM observability, testing, evaluation, and AI safety practices.
• Experience with MCP or other AI-tool integration standards.
• Experience with Redis, Celery, RabbitMQ, Kafka, or workflow orchestration platforms.
• Familiarity with Docker, Kubernetes, CI/CD, and LLMOps practices.
• Experience implementing human-in-the-loop approval mechanisms for autonomous AI tasks.

Responsibilities

• Design, build, and deploy autonomous AI agents for multi-step workflow automation.
• Develop multi-agent architectures using supervisor, hierarchical, swarm, or sequential orchestration patterns.
• Integrate agents with internal and third-party tools, APIs, databases, search systems, and business applications.
• Build tool-calling, memory, planning, reasoning, and state-management capabilities for agentic applications.
• Develop Retrieval-Augmented Generation (RAG) pipelines to provide agents with relevant and trusted business context.
• Implement agent evaluation frameworks to assess task completion, tool-use accuracy, hallucination rates, latency, and cost.
• Add safety controls, guardrails, approval workflows, role-based permissions, and fallback mechanisms.
• Optimize agent workflows for scalability, response quality, latency, and token consumption.
• Collaborate with product, backend, data, and cloud teams to embed agentic workflows into production platforms.
• Stay current with agent frameworks, MCP, model routing, and emerging orchestration patterns.

Skills

Python

Backend API development

LLM APIs

Agent frameworks

RAG / embeddings

System design

Model observability

Human-in-the-loop

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

Redis

Celery

RabbitMQ

Kafka

Docker

Kubernetes

CI/CD

LLMOps

REST APIs

AWS

GCP

Azure

Job description

MCP AutoGen CrewAI LangGraph LangSmith MLflow GCP Kubernetes Anthropic API OpenAI API Vector Databases LlamaIndex LangChain FastAPI RabbitMQ Docker Azure AWS Redis Python

Job Description:

We are looking for an AI Agent / Agentic AI Engineer to build autonomous AI systems that can reason, plan, use tools, and complete multi-step business workflows. You will develop production-ready single-agent and multi-agent applications that connect LLMs with APIs, enterprise systems, databases, and external tools. Agentic AI engineers typically focus on orchestration, tool calling, memory, evaluation, and reliable execution of AI-driven workflows.

Requirements and Duties:

Design, build, and deploy autonomous AI agents for multi-step workflow automation.Develop multi-agent architectures using supervisor, hierarchical, swarm, or sequential orchestration patterns.Integrate agents with internal and third-party tools, APIs, databases, search systems, and business applications.Build tool-calling, memory, planning, reasoning, and state-management capabilities for agentic applications.Develop Retrieval-Augmented Generation (RAG) pipelines to provide agents with relevant and trusted business context.Implement agent evaluation frameworks to assess task completion, tool-use accuracy, hallucination rates, latency, and cost.Add safety controls, guardrails, approval workflows, role-based permissions, and fallback mechanisms.Optimize agent workflows for scalability, response quality, latency, and token consumption.Collaborate with product, backend, data, and cloud teams to embed agentic workflows into production platforms.Stay current with agent frameworks, Model Context Protocol (MCP), model routing, and emerging orchestration patterns.

Skill and Ability:

3+ years of experience in software engineering, AI engineering, machine learning, or related roles.Strong proficiency in Python and backend API development using FastAPI, Flask, or Django.Hands-on experience with LLM APIs and agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.Experience building tool-calling workflows and integrating AI systems with REST APIs, databases, queues, and enterprise tools.Strong understanding of RAG, embeddings, vector databases, semantic search, prompt design, and context management.Familiarity with multi-agent orchestration, state handling, workflow execution, and memory patterns.Experience deploying and monitoring AI applications on AWS, GCP, or Azure.Knowledge of LLM observability, testing, evaluation, and AI safety practices.Experience with MCP or other AI-tool integration standards.Experience with Redis, Celery, RabbitMQ, Kafka, or workflow orchestration platforms.Familiarity with Docker, Kubernetes, CI/CD, and LLMOps practices.Experience implementing human-in-the-loop approval mechanisms for autonomous AI tasks.

Current Openings

We consider each team member as a part of our family. Our work culture is rooted in transparency, meaningful collaboration, and inclusivity. Explore career opportunities and find the role that fits your skills.

Be a part of the most
happening team
around!