• Experience: 5+ years
• Primary Stack: Python, LLM APIs, RAG, agent frameworks
• Cloud: Cloud-agnostic. Deep experience with at least one of AWS, GCP, or Azure, and the ability to work on the others
• Location & Mode: Full time, Work From Office. Noida, Sector 132
• Company: Binariq (TSCx Consulting Pvt Ltd)

Role Summary
We are looking for a Lead Gen AI & Agentic AI Engineer to own the design and delivery of LLM-powered and autonomous agent systems for enterprise clients. You will take a business problem from an early client conversation through to a production system, making the architecture calls along the way and defending them to both technical and non-technical audiences.
We need someone who has built agents that run against live client systems. That means scoping what an agent can access, deciding where a human has to approve, and handling failures predictably when it acts.
Developing the engineers around you is a core part of this role. You will mentor associate engineers day to day, assist in running Binariq's internal training on Gen AI and agentic practice,



and own the technical onboarding path for engineers joining the practice.

Key Responsibilities

Design & Build
• Own end-to-end design of Gen AI solutions: retrieval architecture, model selection, prompt strategy, and integration approach
• Design agentic systems: tool contracts, orchestration logic, state management, and multi-agent decomposition where it is justified
• Define the boundaries of autonomy: what an agent may access, what it may act on, where a human must approve, and how it escalates
• Build guardrails against prompt injection, sensitive data exposure, and unsafe or incorrect output
• Design failure behaviour explicitly: retries, timeouts, circuit breakers, cost ceilings, and rollback paths
• Establish evaluation frameworks for LLM and agent output, and use them to drive iteration rather than relying on impressions
• Treat token and inference cost as a first-class design constraint

Cl

📌 Lead Gen AI (India)
🏢 Binariq
📍 India