Forward Deployment Engineer

Senior Forward Deployed Engineer (FDE)

Company: Trinetra AI

Location: Mumbai | On-site

Experience: 8–15 Years

Employment: Full-Time

Industry: Generative AI | SaaS | Enterprise AI

About Trinetra AI

Trinetra AI is building a next-generation Generative AI platform for filmmakers, creators, media companies, and enterprises. Our technology brings together AI-powered video generation, image generation, voice synthesis, dubbing, music, and intelligent content production workflows.

About the Role

We are looking for a Senior Forward Deployed Engineer who combines strong engineering expertise, enterprise business understanding, and a startup mindset.

You will work directly with enterprise customers to understand their business challenges, design AI-powered solutions, build integrations, and deploy production-ready systems.

This is a hands-on, high-ownership role. We need someone who can take a business problem from discovery to deployment and deliver measurable outcomes.

Key Responsibilities

• Enterprise Solutions: Understand customer business problems and translate them into scalable AI-powered solutions.
• End-to-End Ownership: Own solution architecture, development, integrations, deployment, and customer success.
• Generative AI: Build applications using LLMs, AI agents, RAG, multimodal AI models, and GenAI APIs.
• Full-Stack Engineering: Develop APIs, microservices, backend systems, and enterprise integrations using Python, Node.js, TypeScript, or equivalent technologies.
• Cloud & Infrastructure: Work with AWS, GCP, Azure, Docker, Kubernetes, and CI/CD pipelines.
• Customer Engagement: Collaborate directly with enterprise CTOs, engineering leaders, and business stakeholders.
• Product Thinking: Convert customer requirements into reusable, scalable platform capabilities.
• Startup Execution: Independently solve complex problems, rapidly prototype solutions, and deliver production-ready systems.

Required Qualifications

• 8–15 years of hands-on software engineering experience.
• Strong proficiency in Python and modern backend or full-stack technologies.
• Experience building enterprise SaaS, PaaS, AI, or cloud-based platforms.
• Practical experience with LLMs, GenAI APIs, AI agents, or AI-powered applications.
• Strong understanding of system architecture, APIs, microservices, databases, and cloud infrastructure.
• Proven experience working directly with enterprise customers.
• Ability to independently architect, code, deploy, and troubleshoot production systems.
• Strong communication, business problem-solving, and technical ownership skills.

Good to Have

• Experience as a Founding Engineer, Staff Engineer, Principal Engineer, or FDE.
• Background in AI-native startups or enterprise AI platforms.
• Experience with LangChain, LangGraph, RAG, MLOps, or LLMOps.
• Exposure to multimodal AI, video generation, and media technology.
• Understanding of GPU inference and AI infrastructure optimization.

What We Expect

• Think like a founder: Take ownership beyond assigned tasks.
• Build like an engineer: Stay hands-on with architecture, coding, and deployment.
• Understand business: Solve real enterprise customer problems.
• Move fast: Thrive in ambiguity and a fast-paced startup.
• Own outcomes: Remain accountable from customer discovery to production success.

Interview Process

Round 1: AI-Powered Technical Screening

Assessment of engineering, GenAI, system design, business problem-solving, and startup mindset.

Round 2: AI Leadership & Founders Interview

Evaluation of technical depth, enterprise solution ownership, customer engagement, execution capabilities, and cultural alignment.

Why Join Us

• Build cutting-edge Generative AI solutions for global enterprise customers.
• Work directly with founders and AI leadership.
• Own high-impact engineering and customer deployments.
• Shape the future of AI-powered content creation.
• We are looking for builders, not just architects or consultants. If you can understand a business problem, design the solution, build it, and own its success, we would like to hear from you.