Generative AI / AI Automation Engineer

Role Overview

We are looking for a skilled Generative AI / AI Automation Engineer with 3–6 years of experience to design, develop, and implement AI-powered solutions using Generative AI, Large Language Models (LLMs), AI Agents, RAG, and workflow automation. The ideal candidate should have strong hands-on experience in Python, REST APIs, AI agent frameworks, data processing, and enterprise AI solutions.

Responsibilities

• Design and develop solutions using Generative AI, LLMs, Prompt Engineering, and AI Agents.
• Build and integrate AI-powered applications using Python, REST APIs, JSON, automation, and workflow development.
• Develop Agentic AI solutions involving tool calling, workflow orchestration, guardrails, memory, and human-in-the-loop capabilities.
• Implement RAG (Retrieval-Augmented Generation) solutions using embeddings, vector search, and enterprise knowledge systems.
• Integrate AI solutions with enterprise platforms and business workflows.
• Collaborate with stakeholders to identify AI use cases and define measurable outcomes.
• Follow SDLC, Agile, DevOps, testing, release management, and production support practices.
• Work with enterprise tools such as Jira, Azure DevOps, GitHub, Jenkins, Confluence, SharePoint, and Microsoft Teams.
• Define and measure AI adoption, productivity, quality, and business value metrics.
• Provide technical guidance, training, and support to stakeholders and development teams.

Requirements

• Strong understanding of Generative AI, LLMs, Prompt Engineering, AI Agents, and Responsible AI.
• Hands-on experience with Python, REST APIs, JSON, automation, workflow development, and data processing.
• Knowledge of Agentic AI concepts, including tool calling, workflow orchestration, guardrails, memory, and human-in-the-loop design.
• Experience with RAG, embeddings, vector databases/vector search, and enterprise knowledge systems.
• Good understanding of SDLC, Agile, DevOps, testing, release management, and production support.
• Experience with Jira, Azure DevOps, GitHub, Jenkins, Confluence, SharePoint, Teams, or similar enterprise platforms.
• Strong communication, stakeholder management, training, analytical thinking, and problem-solving skills.

Skills

• Python
• LLMs
• RAG
• REST APIs
• Vector Databases

Nice to Have

• Experience building or deploying AI Agents and LLM-powered applications in enterprise environments.
• Exposure to AI governance, Responsible AI, security, and compliance.
• Experience with cloud-based AI services and modern AI/ML ecosystems.