AI / Agent Engineer (Principal / Lead)

Keka Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

AgentCore Runtime

Open-source agent work

Prompt optimization

Job summary

Aura Cloud seeks an experienced AI/Agent Engineer (Principal / Lead) to join the Platform Engineering Team in Bengaluru. You will shape AI-powered solutions, build agentic systems, and drive governance across core banking platforms.

Role focuses on orchestration, evaluation/guardrails, and secure model governance, with hands-on work on AWS Bedrock, MLOps, and multi-tenant retrieval systems. Collaboration with cross-functional teams is essential.

Qualifications

• 8+ years total software experience with 3+ years building and productionizing LLM/agent systems.

Responsibilities

• Design and productionize agentic systems: multi-step orchestration, tool-calling, structured outputs, agent memory.

Skills

LLM/agent systems

Agent orchestration

Eval & guardrails

AWS Bedrock

MLOps

Python

TypeScript

AI security mindset

Tools

LangGraph

LlamaIndex

Agents SDKs

RAGAS

DeepEval

Langfuse

AWS Bedrock

Python

NestJS

Job description

Aura Cloud is a class leading cloud platform for financial institutions to launch and run their business at light-speed. Our platform is at the center of our customer's digitization path and business critical.

We provide 24/7 platforms for critical core financial applications that require a very high degree of quality and stability of the platform. We are fast expanding into other markets with continued focus in the Nordics

We seek an experienced AI / Agent Engineer (Principal / Lead) to join the Platform Engineering Team at our Bengaluru office, to shape and drive the development of Aura Cloud's AI-powered solutions and agentic systems across our core banking and financial platforms.

About AuraCrew

AuraCrew is an AI-native platform for building, governing and deploying AI agents and agentic workflows(“SmartFlows”) for banks and insurers — with model-risk and regulatory governance built into the product.

The Role

This is the differentiating core — the agents, the orchestration, and the evaluation / guardrail / oversight machinery that lets a bank trust an AI decision.

What You’ll Own

AuraCrew’s AI core on AWS Bedrock / AgentCore: agent authoring and runtime, RAG / knowledge, and the AI Shield / Eval Center / oversight layers.

What You’ll Do

• Design and productionize agentic systems: multi-step orchestration, tool-calling, structured outputs, agent memory — deployed to AgentCore Runtime.
• Build the evaluation and guardrail layer that is the product’s reason to exist: source-grounding, omission / hallucination detection, eval suites, red-teaming, trust scoring, model inventory.
• Own model governance in-product: model bindings across providers, prompt-injection and least-privilege defenses, oversight rules, token / cost accounting.
• Push RAG / retrieval quality: hybrid search, reranking, multi-tenant knowledge, data-model-aware retrieval.
• Set the standard for how AI systems are built, evaluated and shipped here.

What You’ll Bring

• 8+ years total; 3+ years building and productionizing LLM / agent systems.
• Demonstrated production work with: agent orchestration (LangGraph / LlamaIndex / Agents SDKs / MCP or equivalent), evals & guardrails (RAGAS / DeepEval / Langfuse or your own), and RAG.
• AWS Bedrock (or equivalent managed LLM infra); MLOps; strong Python; comfortable in TypeScript.
• An AI-security mindset: prompt-injection, least-privilege identity, data-leakage controls.

Bonus

AgentCore Runtime; DSPy / prompt-optimization; voice / realtime; fine-tuning & serving open-weight models; published or open-source agent work.

Not The Right Fit If

Your agent experience is demos and notebooks, or you’ve never had to prove an AI system’s outputs were safe and correct.

How We Hire

One bar, tested the same way: a deep dive on real work you’ve shipped — architecture, trade-offs, and what was actually yours — then a paired working session on a live AuraCrew problem in your area. We optimise for depth, judgement and ownership, not breadth of buzzwords.

Stack

Required Skills

AWS Lambda NestJS + PostgreSQL AmazonS3, IAM / KMS / Secrets Manager OpenTelemetry AWS CloudFormation AWS Bedrock Python Agent Runtime React / TypeScript AgentCore Runtime