AI Developer | Agentic AI & LLM Engineering

Design and develop multi-agent AI orchestration pipelines and AI agent workflows.

• Build Human-in-the-Loop (HITL) workflows with approval, review, and escalation mechanisms.
• Develop and maintain LLM integration layers / Model Abstraction Layers.
• Perform advanced Prompt Engineering, including system prompts, few-shot prompting and structured outputs.
• Build RAG (Retrieval Augmented Generation) pipelines using embeddings and vector databases.
• Integrate Azure OpenAI / Vertex AI models through managed APIs.
• Develop deterministic tools for REST APIs, database queries, file parsing, validation, and enterprise data retrieval.
• Implement robust error handling, retry mechanisms, token management, and LLM failure mitigation.
• Build audit-ready logging covering agent actions, evidence retrieval, decisions, and outputs.
• Containerize applications using Docker and deploy on Kubernetes (AKS/GKE).

MUST-HAVE SKILLS

Python Expert level
LLM / Generative AI application development
Agentic AI / Multi-Agent Systems
Prompt Engineering
RAG / Embeddings / Vector Databases
Azure OpenAI and/or Vertex AI
REST API / OpenAPI / API Integration
PostgreSQL / Cloud SQL
Docker & Kubernetes (AKS/GKE)
Git / CI/CD

AGENTIC AI EXPERIENCE

Candidates should have hands-on experience with concepts such as:

ReAct | Tool Calling | Multi-Agent Orchestration | Agent State Management | HITL | Structured Outputs | Prompt Injection Mitigation | LLM Evaluation

Experience with LangChain, LlamaIndex, AutoGen, or similar agentic frameworks is an advantage.

SECURITY & ENTERPRISE EXPERIENCE

Good understanding of:

• Encryption at rest/in transit
  • Secrets management & Key Vault / Secret Manager
  • Least-privilege access
  • Audit logging & traceability
  • Data residency
  • Secure API integrations
  • Cloud-native security

Experience in BFSI / Financial Services / regulated environments is highly preferred.

GOOD TO HAVE

• MLOps / LLMOps
  • Model versioning & regression testing
  • Blue-Green deployments
  • Azure Confidential Computing / GCP Confidential VMs
  • TypeScript / Node.js
  • Experience deploying AI solutions in regulated environments

IDEAL PROFILE

We are looking for a hands-on AI/LLM Engineer, not a traditional Data Scientist or research-only profile.

The ideal candidate should have experience taking LLM/Agentic AI solutions from development to production, with strong focus on reliability, security, auditability, and enterprise integration.

Interested candidates can share their updated CV at:
[[email protected]]