Role & responsibilities:
- Design and implement multi-agent orchestration pipelines coordinating sequences of specialised AI agents across a structured, multi-stage workflow
- Implement Human-in-the-Loop (HITL) workflow engine stateful approval gates where named human reviewers must approve, edit, or reject AI outputs before pipeline advancement
- Ensure all agents are stateless between sessions no cross-session memory accumulation, no passive learning from runtime data
- Build and maintain the Model Abstraction Layer decoupling agent logic from specific model versions to enable zero-downtime model upgrades
- Engineer sophisticated multi-turn system prompts encoding domain knowledge, evaluation criteria, output structure requirements, and adversarial review logic
- Implement RAG (Retrieval Augmented Generation) pipelines using embedding models for semantic document retrieval context window management, chunking strategy, and retrieval precision optimisation
- Manage model inference parameters (temperature, top-P, top-K, max tokens)



per agent role balancing output consistency and quality
- Integrate with Azure OpenAI (GPT-5.5, GPT-5.4, text-embedding-3-large) and/or Vertex AI (Gemini 2.0 Pro, Gemini 2.0 Flash, text-embedding-gecko) via managed API endpoints
- Build and maintain the deterministic tool layer conventional software components (database queries, REST API calls, file parsers, data validators, schema normalisers) that handle all evidence retrieval and data access with exact, auditable, reproducible results
- Implement read-only service account integrations with enterprise source systems
- Design and implement evidence validation logic completeness thresholds, exception handling, missing evidence escalation procedures
- Implement offline RSA-4096 JWT-based license enforcement cryptographic license validation without network dependency
- Build immutable audit trail logging every agent action, HITL decision, evidence retrieval, and output version logged in stru

📌 Artificial Intelligence Developer (Gurugram)
🏢 NLB Services
📍 Gurugram