Immediate Joiners/Short Notice

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MNC Payroll - Client MNC

Key Responsibilities

- Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability
- Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets
- Integrate and abstract across multiple LLM providers OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management
- Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring
- Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs
- Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster
- Define and use metrics to measure agent accuracy, latency, safety,



and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Basic Qualifications

- 5+ years of software engineering experience in production environments
- Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable
- Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level
- Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs
- RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering
- LLMOps fundamentals: eval harness design, prompt versioning, and production observability
- Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)
- Robust Python; Java or equivalent backend language acceptable; production debugging and observability experience
- Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure

📌 AI Native Engineer (Agentic / Applied) (India)
🏢 Cerebra
📍 India