Sr fde
Pune, Maharashtra, India • Posted June 04, 2026
Job Type:
Full-time
Location:
Pune, Maharashtra
Posted:
June 04, 2026
Category:
Computer Occupations
Application Deadline:
July 14, 2026
Role Description
About Position:
We are hiring a Senior Forward Deployment Engineer (FDE) with strong experience in Agentic AI, Generative AI, and cloud‑based data accelerator solutions. This is a customer‑facing, hands‑on role focused on deploying scalable agentic frameworks and Gen AI solutions on AWS, Azure, and GCP. The ideal candidate combines strong backend engineering skills, cloud expertise, and real‑world Gen AI deployment experience, working from Po C through production.
Role: Sr FDE
Location: All Persistent Location
Experience: 8-10 Years
Job Type: Full Time Employment
What You'll Do:
Design, deploy, and scale Agentic AI–based data accelerator solutions
Work directly with customers to solve complex data and AI use cases
Build backend services using Python, Fast API, Flask, and REST APIs
Implement agentic workflows (planning, tools, memory, orchestration)
Deploy and operate solutions on AWS, Azure, and GCP
Integrate LLMs, RAG pipelines, embeddings, and vect...
We are hiring a Senior Forward Deployment Engineer (FDE) with strong experience in Agentic AI, Generative AI, and cloud‑based data accelerator solutions. This is a customer‑facing, hands‑on role focused on deploying scalable agentic frameworks and Gen AI solutions on AWS, Azure, and GCP. The ideal candidate combines strong backend engineering skills, cloud expertise, and real‑world Gen AI deployment experience, working from Po C through production.
Role: Sr FDE
Location: All Persistent Location
Experience: 8-10 Years
Job Type: Full Time Employment
What You'll Do:
Design, deploy, and scale Agentic AI–based data accelerator solutions
Work directly with customers to solve complex data and AI use cases
Build backend services using Python, Fast API, Flask, and REST APIs
Implement agentic workflows (planning, tools, memory, orchestration)
Deploy and operate solutions on AWS, Azure, and GCP
Integrate LLMs, RAG pipelines, embeddings, and vect...
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