AI-First Forward Deployed Engineer (FDE)

Experience: 3–5 Years | Employment: Full time | Location: Bengaluru / Mumbai / Hybrid (Client Visits as Required)

About Es Magico

Es Magico is an AI-first technology studio building intelligent, scalable agentic technology solutions for startups, enterprises, and institutions. With a team of 70+ engineers and experience across 40+ clients, we specialise in AI agentic engineering, fintech, SaaS platforms, and enterprise application development.

We combine product thinking, engineering expertise, and rapid execution to take ideas from conceptualisation to production. Our culture emphasises AI-first development, continuous innovation, and building technology that delivers measurable business outcomes.

About the Role

We are looking for an AI-First Forward Deployed Engineer who operates at the intersection of Artificial Intelligence, full-stack development, and customer problem-solving.

The role involves understanding business challenges, translating them into technical solutions, rapidly building AI-powered applications, and deploying them in real-world environments. You will work closely with customers, product teams, and internal engineering teams, taking ownership from problem discovery to production deployment.

We are looking for a hands-on builder who uses AI-native tools and modern engineering practices to accelerate development without compromising quality.

Key Responsibilities1. AI-First Full-Stack Development

- Build end-to-end web applications using React, Next.js, Node.js, Python, or equivalent technologies.
- Develop scalable backend services, APIs, database architectures, and responsive frontend interfaces.
- Use AI-assisted development tools such as Cursor, Claude Code, and GitHub Copilot to accelerate development.
- Build integrations with third-party APIs, enterprise systems, and external platforms.

2. Applied AI Engineering

- Develop AI-powered applications using LLMs, including OpenAI and other leading model providers.
- Build RAG pipelines, AI agents,



tool-calling workflows, and intelligent automation.
- Work with embeddings, vector databases, prompt engineering, and structured LLM outputs.
- Implement AI evaluation, guardrails, and optimisation for latency, accuracy, and inference costs.

3. Forward Deployment & Customer Engineering

- Work directly with customers to understand business requirements and operational workflows.
- Convert ambiguous business problems into technical specifications and working solutions.
- Lead technical discovery, solution architecture, development, integration, and deployment.
- Troubleshoot production issues and ensure successful implementation and customer adoption.
- Bridge the gap between customer expectations, product requirements, and engineering execution.

4. Engineering Ownership

- Own solutions end-to-end, from proof of concept to production deployment.
- Write clean, secure, maintainable, and scalable code.
- Follow engineering best practices across Git, testing, CI/CD, Docker, and cloud deployment.
- Identify opportunities to convert custom implementations into reusable product capabilities.

Required Technical Skills
- Strong programming fundamentals in JavaScript/TypeScript and/or Python.
- Hands-on experience with React, Next.js, Node.js, or equivalent full-stack frameworks.
- Experience building REST APIs, backend services, and database-driven applications.
- Practical experience with LLM APIs, prompt engineering, and AI application development.
- Familiarity with RAG, embeddings, vector databases, and AI agent frameworks.
- Working knowledge of SQL/NoSQL databases, Git, Docker, and AWS/Azure/GCP.




- Comfortable using AI coding assistants as an integral part of the development workflow.

Preferred Skills
- Experience building and deploying production-grade AI applications or SaaS products.
- Exposure to LangChain, LangGraph, LlamaIndex, PostgreSQL, Redis, MongoDB, or Pinecone.
- Understanding of system design, authentication, application security, and observability.
- Experience in customer-facing engineering, consulting, startups, or product development.

What We Are Looking For
- An AI-first engineer with a robust builder mindset and bias towards execution.
- Ability to independently develop and ship complete applications.
- Strong problem-solving skills and comfort working with ambiguous requirements.
- Good communication skills and confidence in interacting with customers.
- Ability to understand business problems, make technical decisions, and take ownership.
- Someone who can move seamlessly between coding, solution architecture, AI engineering, and customer discussions.

What Success Looks Like
- Translating business requirements into working technical solutions independently.
- Rapid delivery of functional prototypes and production-ready applications.
- Building reliable, scalable AI-powered solutions.
- Successful customer integrations, deployments, and adoption.
- Improving engineering productivity through AI-first development practices.

Why Join Es Magico?
- Work on real-world AI implementations across multiple industries.
- Build and deploy AI-native products using modern technology stacks.
- Work directly with founders, enterprise customers, and product teams.
- Own projects end-to-end and solve challenging business problems.
- Be part of an engineering culture that embraces AI-first development and rapid execution.

The ideal candidate is not just someone who writes code, but someone who can understand a problem, architect a solution, build it using AI-first engineering practices, and take it all the way to production.

📌 Forward Deployed Engineer (Bengaluru)
🏢 Es Magico
📍 Bengaluru