Ai Engineering Manager
- India
Posted 23 hours ago
About the role
Job Title: AI Engineering Manager
Location: Jaipur
Experience: 4+ Years
Salary: Up to 10 LPA
Role Overview
We are looking for an AI Engineering Manager to lead engineering teams in the era of AI-assisted software development. This role combines deep technical expertise, AI engineering capabilities, product thinking, business understanding, and strong people leadership. You will lead teams building AI-native products and enterprise software, drive responsible AI adoption across the software development lifecycle, improve developer productivity through AI, and ensure technology decisions translate into measurable business value.
Key Responsibilities
* AI-First Engineering Leadership: Lead engineering teams building AI-powered applications and enterprise software. Drive the adoption of AI across software development, testing, documentation, and delivery workflows. Mentor engineers on AI-native development practices.
* Technical & Architecture Leadership: Architect scalable, secure, and cloud-native applications. Design enterprise-grade backend systems using Python and JavaScript/TypeScript. Lead API-first, event-driven, and distributed system architectures. Establish standards for code quality, scalability, security, and performance.
* AI Engineering: Design and build production-grade LLM-powered applications, Agentic AI, and autonomous workflow systems. Design and implement Retrieval-Augmented Generation (RAG) solutions and multi-agent systems for enterprise automation. Integrate AI models from OpenAI, Anthropic, Google, and open-source ecosystems.
* MCP & Intelligent Integrations: Design and implement Model Context Protocol (MCP) servers and integrations. Enable AI systems to interact with internal tools, CRMs, ERPs, databases, APIs, and business workflows. Design authentication, authorization, permissions, and governance models for MCP-based systems.
* AI-Assisted Development & Productivity: Champion responsible, high-quality AI-assisted development and Vibe Coding practices. Leverage AI coding assistants to improve engineering velocity and developer productivity. Define standards for prompt engineering, AI-generated code validation, and automated processes.
* Product & Business Thinking: Translate business and customer problems into scalable technical solutions. Balance speed of execution with engineering quality and technical debt. Contribute to product strategy, technical roadmap, and solution architecture.
* Team Management & Mentorship: Lead, mentor, and develop high-performing engineering teams. Coach engineers on architecture, system design, AI engineering, and modern development practices. Set clear expectations around ownership, quality, accountability, and delivery.
Required Technical Skills
* Programming: Python (Expert), JavaScript / TypeScript (Expert).
* AI & Machine Learning: LLM Integration, AI Agents & Agentic AI, Multi-Agent Systems, Prompt Engineering, RAG, Vector Databases, Embedding Models, AI Evaluation & Observability, Agent Orchestration Frameworks.
* MCP & AI Integrations: Model Context Protocol (MCP) servers, context management, secure enterprise integrations, authentication/authorization for AI systems.
* Backend & APIs: FastAPI, Django, Flask, Node.js, Express.js, REST APIs, GraphQL, WebSockets.
* Cloud & DevOps: AWS, Azure, or Google Cloud; Docker, Kubernetes, CI/CD Pipelines, Infrastructure as Code, GitHub Actions, Monitoring & Observability.
* Databases: PostgreSQL, MongoDB, Redis, Vector Databases (Pinecone, Weaviate, Qdrant, Chroma, or similar).
Preferred Qualifications & Mindset
* 4+ years of overall software engineering experience with demonstrated leadership capabilities.
* Hands-on experience building AI-powered enterprise products and deploying production-grade LLM applications.
* Experience with MCP servers, AI tool integrations, system design, and software architecture.
* Strong ownership, analytical thinking, and business outcome focus over a project-only mindset.
* Excellent problem-solving, communication, and stakeholder management skills.
Success Metrics (First 12 Months)
* Increased engineering productivity through responsible AI adoption.
* Improved code quality and reduction in production defects.
* Successful delivery of enterprise-grade AI products and scalable MCP-enabled solutions.
* Establishment of AI-first engineering standards and improved delivery predictability.
Pay: ₹800,000.00 - ₹1,000,000.00 per year
Work Location: In person