Forward Deployment Engineer
₹2,000,000 – ₹8,000,000 / yr base salary
Posted 29 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Contract
- Full-time
| Base salary | ₹2,000,000 – ₹8,000,000 / yr |
|---|
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟴𝟬 𝗟𝗣𝗔)
Experience: 2+ yrs
Location: Bengaluru, Karnataka, India, Bengaluru
Job Type: Full-time
We are looking for a highly hands-on Forward Deployment Engineer to work at the intersection of engineering, product, AI, data, and business. The role focuses on taking technology from prototype to production by understanding real-world business problems, rapidly developing solutions, integrating them with enterprise systems, and deploying them into production environments.
The ideal candidate combines strong software engineering fundamentals with expertise in AI/ML, Generative AI, LLM applications, AI agents, and data engineering or analytics. You should be comfortable operating in ambiguous environments, working directly with stakeholders, and taking ownership of solutions from discovery through deployment, adoption, and scale.
Requirements
Key Responsibilities
- Work directly with business and product stakeholders to understand complex, ambiguous problems and translate them into technical solutions.
- Rapidly prototype, develop, integrate, and deploy production-quality applications and AI-powered solutions.
- Own solutions end-to-end, from discovery and technical design through development, deployment, adoption, and continuous improvement.
- Build applications and services using modern programming languages such as Python, Java, TypeScript/JavaScript, Go, or C#.
- Develop and integrate AI/ML, Generative AI, LLM applications, AI agents, and data-driven solutions.
- Design and consume REST APIs, microservices, distributed systems, and enterprise integrations.
- Integrate applications with existing platforms, APIs, databases, data sources, and enterprise systems.
- Develop reusable services, components, frameworks, and engineering patterns that can scale across teams.
- Work across the complete engineering lifecycle, including coding, testing, CI/CD, deployment, monitoring, and production support.
- Diagnose and resolve technical issues in live production environments.
- Collaborate with Architecture, Security, Platform, Infrastructure, and DevOps teams to ensure enterprise standards are met.
- Use experimentation, data, and stakeholder feedback to validate solutions and iterate rapidly.