AI Engineer - Internal Agents & Workflows

Jobgether • India

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and build advanced AI-powered automation solutions to improve team operations and collaboration. Develop internal AI agents, workflow automations, and copilot experiences across multiple business functions. Requires strong software engineering fundamentals and hands-on experience with LLMs, agent frameworks, and workflow orchestration.

Key Highlights

Build AI agents with tool calling, multi-step reasoning, and structured outputs

Develop RAG solutions and integrations with Slack, Jira, CRM, and data warehouses

Deploy MVPs quickly, gather feedback, and implement production best practices

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Key Responsibilities

Design, develop, and deploy AI-driven solutions that automate repetitive processes

Collaborate with stakeholders across departments to identify opportunities and build intelligent workflows

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

Technical Skills Required

Python TypeScript LLM frameworks API integrations Workflow orchestration

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Benefits & Perks

Fully remote position with permanent work-from-home flexibility

Fixed-term contract opportunity with dedicated project scope

Competitive compensation package of up to 28L annually

Job Description

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.

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