Agentic AI Developer

Jobgether; India; Remote; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Remote-friendly across India

Job summary

Jobgether in India is partnering to hire an Agentic AI Developer. The role focuses on building autonomous AI agents capable of reasoning, planning, and multi-step execution, with strong emphasis on tool use, memory, evaluation, and safety.

You will work with LangGraph, LangChain, AutoGen, and CrewAI, integrating with diverse databases and external APIs in a production-grade engineering setting.

Qualifications

• 3–7 years of professional software/AI development experience.
• Advanced proficiency in Python, including asynchronous programming.
• Strong practical knowledge of major LLM provider APIs (OpenAI, Anthropic, Mistral).
• Hands-on experience developing agentic applications using LangChain, LangGraph, AutoGen, CrewAI.
• Good understanding of multi-agent architectures, tool calling, workflow orchestration, and LLМ-based app development.
• Working knowledge of vector databases (Pinecone, Qdrant, Weaviate) and relational databases.
• Experience with Docker and containerized application development.
• Strong software engineering fundamentals and production-grade practices.
• Experience establishing rigorous testing and evaluation methodologies for AI systems.

Responsibilities

• Design, develop, and optimize autonomous AI agents capable of reasoning, planning, and multi-step task execution.
• Build multi-agent architectures and state-based workflows using LangGraph, AutoGen, CrewAI, or similar tools.
• Integrate with enterprise databases, internal apps, and external APIs with proper security and error handling.
• Develop memory mechanisms to maintain context over long workflows.
• Create automated evaluation frameworks for agent performance and failure scenarios.
• Monitor and optimize token use, latency, and costs for AI services.
• Implement safety guardrails to prevent unsafe or unintended agent actions.

Skills

Python

Asynchronous programming

LLM APIs

Agent orchestration

LangChain

LangGraph

AutoGen

CrewAI

Multi-agent architectures

Tool calling

Vector databases

Relational databases

Education

Bachelor's degree in Computer Science or related

Tools

LangChain

Docker

Pinecone

Qdrant

Weaviate

OpenAI API

Anthropic API

Mistral API

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Agentic AI Developer based in India.

We are seeking an innovative AI engineer to design and develop autonomous, multi-agent systems and intelligent workflow automation solutions. You will build systems where Large Language Models can reason, plan, use external tools, and execute complex multi-step tasks with limited human intervention. The role covers agent orchestration, API and enterprise-system integration, memory management, evaluation, and safety engineering. You will work with modern agentic AI frameworks and emerging approaches to build reliable and scalable AI applications. This is an opportunity to contribute to advanced generative AI initiatives in a technically ambitious engineering environment. Your work will directly influence how AI systems can automate sophisticated processes and interact with real-world systems.

Accountabilities:

• Design, develop, and optimize autonomous AI agents capable of reasoning, planning, reflection, decision-making, and multi-step task execution.
• Build multi-agent architectures and state-based workflows using frameworks such as LangGraph, AutoGen, CrewAI, or comparable custom orchestration platforms.
• Develop reliable agent loops that enable LLMs to select tools, execute actions, evaluate results, and adapt their approach when required.
• Integrate enterprise databases, internal applications, and external APIs with AI agents while implementing appropriate authentication, security boundaries, schema validation, and error handling.
• Design short-term and long-term memory mechanisms that allow agents to maintain relevant context throughout extended workflows and interactions.
• Develop automated evaluation frameworks to assess agent performance, reliability, task completion, reasoning quality, and failure scenarios.
• Monitor and optimize token consumption, latency, execution costs, and overall system performance.
• Implement safety mechanisms and guardrails to reduce hallucinations, constrain unintended actions, and prevent unsafe or uncontrolled agent behavior.
• Collaborate with engineering and AI teams to translate complex business requirements into scalable, production-ready agentic AI solutions.

Requirements:

• 3–7 years of professional experience in software engineering, AI development, machine learning, or a closely related field, including hands‑on experience with generative AI or agentic systems.
• Advanced proficiency in Python, including asynchronous programming and the development of scalable AI services.
• Strong practical knowledge of major LLM provider APIs, such as OpenAI, Anthropic, Mistral, or equivalent platforms.
• Hands‑on experience developing agentic applications using LangChain, LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks.
• Good understanding of multi‑agent architectures, tool calling, workflow orchestration, prompt design, context management, and LLM‑based application development.
• Working knowledge of vector databases such as Pinecone, Qdrant, or Weaviate, as well as relational databases and data‑access patterns.
• Experience with Docker and containerized application development.
• Strong understanding of software engineering fundamentals, including modular architecture, clean code, unit testing, version control, and production‑quality development practices.
• Experience establishing rigorous testing and evaluation methodologies for AI systems, including handling edge cases and failure modes.
• Strong analytical, problem‑solving, communication, and collaboration skills, with the ability to work effectively in a fast‑moving AI engineering environment.
• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline.

Benefits:

• Annual compensation of approximately INR 2,500,000–4,000,000 CTC, depending on experience and skills.
• Full‑time, mid‑to‑senior‑level opportunity.
• Remote‑friendly working model with flexibility across India.
• Location options including Bangalore, Pune, hybrid, or remote across India.
• Opportunity to work on advanced agentic AI, multi‑agent systems, LLM applications, and intelligent automation.
• Exposure to modern AI frameworks, LLM platforms, vector databases, APIs, and cloud‑ready engineering practices.
• Opportunity to contribute to production‑grade AI systems designed to automate complex workflows and real‑world business processes.
• Collaborative environment focused on experimentation, engineering excellence, and emerging generative AI technologies.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.