Forward-Deployed Engineer (FDE)

This role is for one of the Weekday's clients

Salary range: Rs 1500000 - Rs 2500000 (ie INR 15-25 LPA)

Min Experience: 2 years

Location: Bangalore

JobType: full-time

The Forward-Deployed Engineer (FDE) will design, build, and deploy production-grade GenAI systems that solve complex, business-critical problems. This role sits at the intersection of engineering, AI, and customer delivery—owning outcomes from concept to production. You will work closely with enterprise customers across regulated and performance-sensitive environments where accuracy, reliability, compliance, and auditability are non-negotiable.

If you enjoy translating cutting-edge AI research into dependable systems that directly impact business metrics, this role offers hands-on ownership and real-world impact.

Requirements

• Own end-to-end delivery of AI solutions: system design, implementation, deployment, and production monitoring.
• Build full-stack solutions across frontend (Next.js), backend services (FastAPI / Node.js), and data or ML pipelines as required.
• Develop and optimize agentic workflows aligned to measurable KPIs such as accuracy, resolution time, SLA adherence, CSAT, and cost efficiency.
• Design and productionize robust RAG systems including retrieval routing, evaluation frameworks, grounding with exact citations, guardrails, and multimodal inputs.
• Build automated browser and workflow solutions using Playwright or RPA-style approaches for enterprise tools (CRM, ticketing systems, knowledge bases, ERP modules).
• Productionize LLM applications with prompt engineering, memory, caching, safety layers, and cost/latency optimization.
• Ensure system reliability through observability, tracing, load testing, red-teaming, incident response, and feature-flagged rollouts.
• Partner directly with customer stakeholders to understand workflows, translate ambiguous requirements into shipped solutions, and iterate rapidly.
• Contribute to team excellence by documenting best practices, sharing delivery playbooks, and supporting hiring and mentorship efforts.

• Strong experience building production-grade GenAI systems.
• Hands-on expertise with LLMs, RAG architectures, and agentic workflows.
• Proficiency in Python and TypeScript.
• Experience with backend frameworks such as FastAPI or Node.js.
• Frontend experience with modern frameworks (Next.js or similar).
• Familiarity with browser automation, workflow automation, or RPA tools.
• Strong understanding of system reliability, observability, and performance optimization.
• Ability to work directly with customers and take ownership of business outcomes.

• GenAI
• LLMs & RAG Systems
• Python
• TypeScript
• Forward-Deployed Engineering
• Enterprise Automation