{"id":3882172,"url":"https://alion.io/job/leitmotif-solutions-senior-software-development-engineer-backend","title":"Senior Software Development Engineer - Backend","company":{"id":3800258,"name":"LeitMotif Solutions","domain":"leitmotif.in","url":"https://alion.io/company/leitmotif-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Nest.JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"RAG","optional":false},{"name":"TypeScript","optional":false},{"name":"A2A","optional":true},{"name":"EU AI Act","optional":true},{"name":"Fine-tuning","optional":true},{"name":"FinOps","optional":true},{"name":"Helm","optional":true},{"name":"JavaScript","optional":true},{"name":"MLFlow","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Node JS","optional":true},{"name":"Terraform","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-11-06T18:25:34Z","employer_posted_date":null,"last_verified_at":"2026-11-06T18:25:34Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"About the Role:\n\nOur 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.\n\nMust-Have Skills: Engineering:\n\n- Expert TypeScript, with deep knowledge of runtime performance and concurrency.\n\n- Experience architecting large frontend and backend systems (Angular and NestJS preferred) as scalable, resilient services.\n\n- Strong system design: distributed and event-driven systems, idempotency, caching, and failure handling.\n\n- Advanced PostgreSQL: data modelling, query tuning, and zero-downtime migrations.\n\n- Production delivery on Docker and Kubernetes with CI/CD.\n\n- Strong security grounding: OAuth 2.1/OIDC, multi-tenant isolation, and secrets management.\n\nMust-Have Skills: AI & LLM:\n\n- Architected production LLM or agentic systems: orchestration, tool design, and context engineering.\n\n- Designed RAG over enterprise data, with access control, freshness, and grounding.\n\n- Owned an evaluation strategy: offline eval suites, regression gates, and quality and cost metrics.\n\n- Applied guardrails: prompt-injection defences, tool sandboxing, PII handling, and audit trails.\n\n- Able to lead AI-assisted engineering practices on the team (agent workflows, spec-driven development, review standards).\n\nNice-to-Have Skills:\n\n- Designing production MCP servers: tool schemas, authorization, tenancy, and versioning.\n\n- Multi-agent patterns and agent-to-agent protocols (A2A).\n\n- Online evaluation: A/B and shadow testing of model and prompt changes.\n\n- MLOps and model serving (MLflow, vLLM), and choosing between prompting, RAG, and fine-tuning.\n\n- LLM observability and FinOps: tracing, token budgets, and per-tenant cost attribution.\n\n- Insurance or regulated-industry AI: explainability, model governance, and the EU AI Act.\n\n- Infrastructure as code (Terraform, Helm) and Nx monorepos.\n\nExpected Responsibilities:\n\n- Lead the technical design of complex AI-powered features and platform services, documented in design docs and ADRs.\n\n- Define how agents, MCP servers, models, and core services fit together for your product area.\n\n- Break large, ambiguous problems into well-scoped work that several engineers can deliver in parallel.\n\n- Own the reliability, quality, safety, and cost of AI and core services in production.\n\n- Set the evaluation and release bar for model, prompt, and tool changes.\n\n- Drive root-cause analysis for incidents, including model and data regressions.\n\n- Mentor SDE I/II engineers on both distributed systems and AI engineering, and contribute to hiring.\nSkills\nTypeScript, NestJS, PostgreSQL, Generative AI, Agentic AI, 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