About the Role:Our client is a software OEM that develops an AI-powered intelligent automation platform that helps insurance enterprises put AI agents to work across complex business processes - from distribution and underwriting to policy servicing and claims. Our engineering teams build the platform, accelerators and integrations that leading insurers rely on every day.Must-Have Skills: Engineering:- Expert TypeScript, with deep knowledge of runtime performance and concurrency.- Experience architecting large frontend and backend systems (Angular and NestJS preferred) as scalable, resilient services.- Solid system design: distributed and event-driven systems, idempotency, caching, and failure handling.- Advanced PostgreSQL: data modelling, query tuning, and zero-downtime migrations.- Production delivery on Docker and Kubernetes with CI/CD.- Strong security grounding: OAuth 2.1/OIDC, multi-tenant isolation, and secrets management.Must-Have Skills: AI & LLM:- Architected production LLM or agentic systems: orchestration, tool design, and context engineering.- Designed RAG over enterprise data, with access control, freshness, and grounding.- Owned an evaluation strategy: offline eval suites, regression gates, and quality and cost metrics.- Applied guardrails: prompt-injection defences, tool sandboxing, PII handling, and audit trails.- Able to lead AI-assisted engineering practices on the team (agent workflows,



spec-driven development, review standards).Nice-to-Have Skills:- Designing production MCP servers: tool schemas, authorization, tenancy, and versioning.- Multi-agent patterns and agent-to-agent protocols (A2A).- Online evaluation: A/B and shadow testing of model and prompt changes.- MLOps and model serving (MLflow, vLLM), and choosing between prompting, RAG, and fine-tuning.- LLM observability and FinOps: tracing, token budgets, and per-tenant cost attribution.- Insurance or regulated-industry AI: explainability, model governance, and the EU AI Act.- Infrastructure as code (Terraform, Helm) and Nx monorepos.Expected Responsibilities:- Lead the technical design of complex AI-powered features and platform services, documented in design docs and ADRs.- Define how agents, MCP servers, models, and core services fit together for your product area.- Break large, ambiguous problems into well-scoped work that several engineers can deliver in parallel.- Own the reliability, quality, safety, and cost of AI and core services in production.- Set the evaluation and release bar for model, prompt, and tool changes.- Drive root-cause analysis for incidents, including model and data regressions.- Mentor SDE I/II engineers on both distributed systems and AI engineering, and contribute to hiring. (ref:hirist.tech)

📌 Senior Software Development Engineer - Backend (Bengaluru)
🏢 LeitMotif Solutions Private
📍 Bengaluru