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KI-Rolle · Offenes Angebot
Zoho
Vollzeit Senior Zia AI platform Hybrid Estancia IT Park, Plot 140–151 GST Road, Chengalpattu, Tamil Nadu 603202, India · Hybrid Chennai, India INR 28–45 LPA + benefits Diese Ausschreibung ist optimiert für KI-native Talente : klare Skills und Tools, damit Kandidaten vor der Bewerbung einschätzen können, ob es passt — und Sie weniger Fehlpassungen screenen.
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Arbeitsort-Modell Hybrid
Standort Estancia IT Park, Plot 140–151 GST Road, Chengalpattu, Tamil Nadu 603202, India · Hybrid
Vergütung INR 28–45 LPA + benefits Benefits Health cover, campus facilities, learning budget, hybrid Chennai. Bewerbung Share a shipped NLP/LLM or assistant feature with latency and eval metrics (link or write-up).
Veröffentlicht 2. Juli 2026
Aktualisiert 3. Aug. 2026 Zoho is hiring a Senior Senior AI Developer — Zia & enterprise copilots on the Zia AI platform team (Hybrid · Chennai, India). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Zoho builds cloud software used by millions of businesses worldwide — CRM, finance, HR, and collaboration — from its engineering campuses in India.
Senior AI Developer (Chennai hybrid): extend Zia , Zoho's cross-product AI assistant, and ship LLM-powered copilots embedded in CRM, Desk, and analytics with strict multi-tenant isolation.
You will work with product teams across Chennai and global offices; strong eval discipline and cost-aware inference matter as much as model quality.
About Zoho
Bootstrapped global SaaS company headquartered in India with decades of profitable growth. Engineering culture emphasizes long-term ownership, in-house infrastructure, and privacy-conscious AI. Chennai campus (Estancia IT Park) is a major R&D hub for AI, data, and platform services. What you will do
Design RAG and tool-calling flows for Zia across Zoho products with per-tenant ACLs. Build offline eval suites (golden tasks, regression gates) before prompt or model rollouts. Optimize latency and token cost for high-volume assistant requests in APAC time zones. Partner with security on data residency, logging redaction, and model governance. Stack & environment
Python, LangChain-style orchestration, NLP, OpenAI-compatible APIs, SQL analytics. Docker/Kubernetes services; hybrid Chennai with flexible remote days. What we look for
5+ years shipping ML/NLP/LLM features in production B2B or consumer products. Experience with multi-tenant SaaS, feature flags, and staged rollouts. Clear communication in English; Tamil a plus for local collaboration. Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
OpenAI API
Calling frontier APIs with retries, cost controls, prompt versioning, and safety filters.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.
Kubernetes Tool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
Docker Tool
Containerized services and reproducible dev environments for ML and LLM workloads.
✓ You can show evidence in your application: Share a shipped NLP/LLM or assistant feature with latency and eval metrics (link or write-up). ✓ Several of these show up in recent shipped work—not only on your CV: Python, LangChain, OpenAI API, SQL, and NLP. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · Chennai, India)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: INR 28–45 LPA + benefits, benefits in At a glance) and your expectations align. Was der Arbeitgeber möchte
Share a shipped NLP/LLM or assistant feature with latency and eval metrics (link or write-up).
Mit Kandidatenkonto anmelden, um sich zu bewerben
Registrieren Sie sich, fügen Sie Überschrift und Bio hinzu, dann können Sie unter Mein Konto einen CV-Link oder PDF anhängen, bevor Sie sich bewerben. So bleiben Bewerbungen mit Ihrem Profil verknüpft.
Vorschläge
KI-Talente, die auch passen könnten Profile nach Überschneidung mit Skills und Tools dieser Rolle — hilfreich beim Team-Recruiting oder für Alternativen.
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