Forward-Deployed Engineer (FDE) - Bangalore

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Posted:1 week ago| Platform: Linkedin logo

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Job Type

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Job Description

Forward-Deployed Engineer (FDE) - Bengaluru


About AIonOS

We build production GenAI systems that solve gnarly, business-critical problems—think agentic workflows, RAG you can actually trust, and browser/process automation that bends to enterprise constraints (compliance, SLAs, data residency). Vortex is our applied lab: we ship with customers in aviation, travel, BFSI, and industrials, where accuracy, latency, and auditability aren’t nice-to-haves—they’re the bar.

If you enjoy owning outcomes (not just writing code) and turning the latest research into reliable software that moves business metrics, you’ll feel at home here.


What you’ll do

Ship end-to-end: design → implement → deploy → observe. Frontend (Next.js) + backend (FastAPI/Node) + data/ML pipelines when needed.


Make AI carry P&L weight: instrument agents to concrete KPIs (resolution time, accuracy, CSAT, cost per task, SLA adherence) and improve them iteratively.


Build serious RAG: retrieval routing, evaluators, guardrails, grounding with exact span citations, doc parsers (tables/figures), multimodal inputs, and eval harnesses.


Automate the web & workflows: Playwright/RPA-style flows for internal tools (Salesforce, ServiceNow, SharePoint, Atlassian, SAP modules), plus robust selectors, retries, and fallbacks.


Productionize models: prompt/program LLMs, add memory/caching, design safety layers, measure cost/latency/quality trade-offs.


Own reliability: tracing/observability, red-teaming, load & cost profiling, rollouts/feature flags, and good incident hygiene.


Partner with customers: sit with end-users, map processes, ship fast iterations, and turn ambiguous needs into shipped value.


Uplift the team: write crisp docs, share playbooks, and help hire great people.

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