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.

Work arrangement
No