Senior Agentic AI Engineer

Jobgether; India; Remote; INR 1,800,000 - 3,600,000; Full time

Benefits offered by this job

Fully remote position

Full-time leadership role in AI

Job summary

Jobgether is seeking a Senior Agentic AI Engineer to lead the development of autonomous AI systems from India. You will design intelligent agents capable of reasoning, planning, executing tasks, and collaborating across complex workflows.

You will shape architectures for next‑gen AI solutions, from multi-agent systems to scalable RAG pipelines. You will work with product, engineering, and business teams to identify high‑impact opportunities, establish AI engineering best practices, and influence

Qualifications

• 7+ years of software engineering experience, including scalable distributed systems.
• At least 3 years building and deploying AI/ML solutions in production.
• Strong Python and modern AI development framework experience.
• Experience with AI agents, autonomous workflows, and orchestration.

Responsibilities

• Design, develop, and deploy autonomous AI agents and multi-agent systems for real-world applications.
• Architect agentic workflows with planning, memory, tool use, and autonomous execution.
• Build and optimize RAG systems, embeddings, and vector DB integrations.
• Develop scalable agent orchestration frameworks using LangGraph, CrewAI, AutoGen.
• Collaborate with product and engineering to translate AI opportunities into practical solutions.

Skills

Python

LLMs

Agentic AI

Distributed systems

MLOps

Prompt engineering

Vector databases

CI/CD pipelines

API design

Cross-functional collaboration

Education

Bachelor's or Master's in CS/AI

Tools

LangGraph

CrewAI

AutoGen

OpenAI Agents SDK

Docker

Job description

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

We are seeking an experienced Senior Agentic AI Engineer to lead the development of autonomous AI systems that transform business operations and enable smarter decision-making. In this role, you will design intelligent agents capable of reasoning, planning, executing tasks, and collaborating across complex workflows. You will shape the architecture of next-generation AI solutions, from advanced multi-agent systems to scalable Retrieval-Augmented Generation (RAG) pipelines. Working at the intersection of AI research and production engineering, you will turn emerging capabilities into reliable, secure, and practical applications. You will collaborate closely with product, engineering, and business teams to identify opportunities for intelligent automation and measurable impact. This is an opportunity to provide technical leadership, establish AI engineering best practices, and help define the future of agentic AI in a growing technology environment.

Accountabilities

• Design, develop, and deploy autonomous AI agents and multi-agent systems for real-world business applications.
• Architect agentic workflows incorporating planning, reasoning, memory, tool usage, and autonomous execution.
• Build and optimize Retrieval-Augmented Generation (RAG) systems, knowledge retrieval pipelines, embeddings, and vector database integrations.
• Develop scalable agent orchestration frameworks using tools such as LangGraph, CrewAI, AutoGen, and the OpenAI Agents SDK.
• Integrate AI agents with internal systems, APIs, databases, enterprise platforms, and third-party services.
• Implement evaluation frameworks, monitoring, observability, and guardrails to ensure the reliability, security, and safety of AI systems.
• Build collaborative multi-agent ecosystems that address complex operational and customer challenges.
• Develop intelligent workflow automation solutions that improve productivity, operational efficiency, and business outcomes.
• Collaborate with product, engineering, and business stakeholders to identify high-impact AI opportunities and translate them into practical solutions.
• Drive technical architecture decisions, promote AI engineering best practices, and contribute to the organization’s broader AI strategy.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• At least 7 years of software engineering experience, including the development of scalable distributed systems.
• At least 3 years of hands‑on experience building and deploying AI/ML solutions in production environments.
• Strong proficiency in Python and modern AI development frameworks.
• Demonstrated experience developing AI agents, autonomous workflows, and agent orchestration systems.
• Expertise in Large Language Models (LLMs), including platforms and models such as OpenAI, Anthropic, Gemini, Llama, Mistral, or equivalent.
• Strong understanding of prompt engineering, tool calling, function execution, memory systems, and agent planning strategies.
• Experience with vector databases, embeddings, semantic search, and Retrieval-Augmented Generation (RAG).
• Solid knowledge of APIs, microservices, CI/CD pipelines, Docker, and MLOps practices.
• Familiarity with agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen.
• Experience designing multi‑agent collaboration systems and autonomous decision‑making workflows is an advantage.
• Knowledge of AI governance, security, compliance, and responsible AI practices is preferred.
• Familiarity with knowledge graphs, reinforcement learning, or advanced reasoning architectures is a plus.
• Experience working in a startup or high‑growth technology environment is beneficial.
• Strong problem‑solving, architectural decision‑making, and cross‑functional collaboration skills.

Benefits

• Fully remote position, offering flexibility.
• Full‑time opportunity to lead the development of advanced AI systems and agentic platforms.
• Opportunity to influence AI architecture, engineering standards, and strategic technology decisions.
• Hands‑on work with cutting‑edge LLMs, autonomous agents, multi‑agent architectures, and intelligent automation.
• Opportunity to solve complex technical and business challenges through production‑grade AI innovation.

We appreciate your interest and wish you the best!

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