AI Engineer - Internal Agents & Workflows

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer - Internal Agents & Workflows based in India.

This role offers the opportunity to design and build advanced AI-powered automation solutions that improve how teams operate and collaborate.

You will develop internal AI agents, workflow automations, and copilot experiences that enhance productivity across multiple business functions.

Working in a fast-paced environment, you will combine software engineering expertise with modern AI technologies to deliver practical, scalable solutions.

The position focuses on building real-world applications using LLMs, retrieval systems, integrations, and agent orchestration frameworks.

You will have ownership of high-impact MVPs, from initial design through deployment, iteration, and continuous improvement.

This is an ideal opportunity for an AI Engineer passionate about creating intelligent systems that solve complex operational challenges.

Accountabilities

As an AI Engineer - Internal Agents & Workflows, you will design, develop, and deploy AI-driven solutions that automate repetitive processes and enable teams to work more efficiently. You will collaborate with stakeholders across departments to identify opportunities, build intelligent workflows, and ensure reliable production-ready implementations.

• Design and implement AI agent workflows involving tool calling, multi-step reasoning, structured outputs, and automated decision-making.
• Build integrations and connectors with internal platforms such as Slack, Jira, email, calendars, CRM systems, and data warehouses.
• Develop Retrieval-Augmented Generation (RAG) solutions and knowledge systems for internal documentation, ensuring accurate responses with source references.
• Create AI-powered assistants and automation solutions for areas such as customer support, sales, recruiting, engineering, and internal knowledge management.
• Implement security and access control mechanisms, including role-based filtering and permission-aware information retrieval.
• Deploy MVP solutions quickly, gather user feedback, and continuously improve performance and reliability.
• Establish production best practices through monitoring, logging, evaluations, retry mechanisms, and workflow guardrails.
• Document AI workflows, technical processes, and operational guidelines to support adoption across teams.

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• Deliver scalable solutions by creating reusable connectors and frameworks for future AI initiatives.
  
  

Requirements

The ideal candidate is a strong software engineer with hands-on experience building AI-powered applications, particularly with large language models, agent frameworks, and workflow automation systems. You should have a production-oriented mindset and the ability to transform emerging AI technologies into practical business solutions.

• Strong software engineering fundamentals with experience writing clean, maintainable, and testable code.
• Proven experience building applications with Large Language Models (LLMs), including prompt engineering, structured outputs, JSON schemas, and tool/function calling.
• Experience designing multi-step AI workflows, including agent loops, state machines, or graph-based orchestration.
• Hands-on experience with AI frameworks such as Claude Agent SDK, MCP, LangGraph, OpenAI Assistants, or similar technologies.
• Strong knowledge of API integrations, authentication methods, OAuth, and SSO patterns.
• Experience with workflow orchestration tools such as Temporal, Dagster, Airflow, or Prefect is a plus.
• Experience implementing retrieval systems using technologies such as LlamaIndex, LangChain RAG, Elasticsearch, pgvector, Pinecone, or similar solutions.
• Strong programming skills in Python and/or TypeScript.
• Experience working with AI integrations involving platforms such as Slack, Jira, CRM systems, email, or communication tools.
• Ability to work independently, iterate quickly, and deliver production-ready solutions in a remote environment.
  
  

Benefits

• Fully remote position with permanent work-from-home flexibility.
• Fixed-term contract opportunity with a dedicated project scope.
• Competitive compensation package of up to 28L annually.
• Opportunity to work on innovative AI automation projects with direct business impact.
• Hands-on experience building and deploying internal AI agents and workflow systems.
• Exposure to modern AI technologies, LLM frameworks, retrieval systems, and automation platforms.
• Opportunity to collaborate with cross-functional teams across support, sales, customer success, recruiting, and engineering.
• Fast-paced environment focused on experimentation, ownership, and continuous improvement.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.