AI Engineer (Agentic AI Platform) — S1

An agent on the telecom network gets asked for a subscriber's Wi-Fi password. The right technician gets it. An unauthorized queue doesn't. Context and identity decide in real time — that's the platform we're building.

We're looking for engineers who can own the architecture, not just implement it. You'll go deep on one or two of the following workstreams:

• Orchestration — multi-agent engines, reasoning loops, query planning/rewriting, short- and long-term memory
• Grounding — knowledge graphs, identity graphs, ontology mapping to telecom taxonomies, text-to-SQL over undocumented schemas, RAG over legacy PDFs
• Interop — A2A-compliant agent design, containerized MCP servers, third-party A2A integrations
• Trust — contextual guardrails, RBAC policy, tracing, and evals wired into CI
• Exploration — POCs on new frameworks, evaluated against the A2UI/AGUI landscape

Most of the work isn't model tuning — it's making legacy provisioning systems answer questions, writing evals that catch regressions, and debugging non-deterministic systems. The reasoning layer is the fun 20%.

Tech Stack: Python, GCP (ADK, Vertex AI, GKE), Docker, REST microservices, LangChain, Langfuse, OpenTelemetry, Permit.io, DeepEval, GEval

Requirements

• Production-level Python experience
• Hands-on experience with real LLM systems in production (RAG, tool-calling agents, or orchestration)
• Docker and Kubernetes
• Strong SQL — able to design schemas, not just query them
• Willingness to learn telecom domain knowledge (takes weeks, not optional)
• Comfort working with immature tooling and debugging framework-level issues

How to Apply

Email [email protected] with your resume, plus one of the following:

• A repo we can review, or
• A short paragraph on an agent system you built that broke, and what you changed to fix it

Questions about the role before applying are welcome at the same address.

Pay: ₹800,000.00 - ₹1,000,000.00 per year

Benefits:

• Commuter assistance
• Flexible schedule
• Health insurance
• Paid sick time
• Paid time off
• Work from home

Work Location: In person