Job Description: Chief AI Sales Engineer

Location: Chennai / Bangalore / Hyderabad

Role Type: Full‑Stack AI & Agentic Systems Engineer / Architect

Career Path: Full‑Stack AI Architect

Responsibility Summary

· Set the technical vision for enterprise‑scale Agentic AI solutions.

· Own end‑to‑end architecture: LLM selection, context engineering, microservices, integrations, and UI.

· Build prototypes, storyboards, demos, accelerators, and reusable agentic blueprints.

· Engineer & validate AI agents for reliability, reasoning, safety, and performance.

· Lead PoCs, pilots, and phase‑0 MVPs across industries.

· Create thought leadership, reusable assets, and mentor engineering teams.

· Collaborate with hyper-scalers and product partners to craft next‑generation AI-led experiences.

Key Responsibilities (Detailed)
Architect & Build Cognitive Systems
Design and implement RAG architectures (LangChain, LlamaIndex) to make enterprise-scale data conversational and intelligent.
Build multi‑agent systems using LangGraph, Google ADK, Antigravity, CrewAI,



AutoGen, or similar frameworks.
Equip agents with memory, tools, planning, and context orchestration for autonomous operation.
Engineering & API Development
Build high-performance RESTful APIs (FastAPI / Flask) to expose AI capabilities as secure, scalable microservices.
Integrate LLM-backed agents with enterprise systems, retail platforms, APIs, and third‑party tools.
Leverage MCP and A2A architectures for system interoperability and cross‑agent collaboration.
Prompt Engineering & Guardrails
Craft system instructions, multi-stage reasoning loops, and guardrails using NeMo Guardrails / LlamaGuard.
Ensure safety, compliance, governance, and ethical AI in all deployments.
Production‑Grade Delivery
Containerize, orchestrate, and deploy systems using Docker, with Git‑based versioning and collaboration.
Harden prototypes and MVPs into production-ready AI services for large enterprises.

5.

📌 Chief Ai Sales Engineer Hyderabad (India)
🏢 Arminus
📍 India