{"id":1569762,"url":"https://alion.io/job/aura-cloud-ai-agent-engineer-principal-lead","title":"AI / Agent Engineer (Principal / Lead)","company":{"id":2656349,"name":"Aura Cloud","domain":"auracloud.com","url":"https://alion.io/company/aura-cloud-ab","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","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":{"min_usd":24000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CloudFormation","optional":false},{"name":"DeepEval","optional":false},{"name":"DSPy","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"Hybrid Search","optional":false},{"name":"IAM","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"Least Privilege","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Nest.JS","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"Node JS","optional":true}],"status":"live","first_seen_at":"2026-09-29T11:02:25Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-02T17:27:36Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Aura Cloud\nAura 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.\nWe 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\nWe 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.\nAbout AuraCrew\nAuraCrew 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.\nThe Role\nThis is the differentiating core - the agents, the orchestration, and the evaluation / guardrail / oversight machinery that lets a bank trust an AI decision.\nWhat You'll Own\nAuraCrew’s AI core on AWS Bedrock / AgentCore: agent authoring and runtime, RAG / knowledge, and the AI Shield / Eval Center / oversight layers.\nWhat You'll Do\nDesign and productionize agentic systems: multi-step orchestration, tool-calling, structured outputs, agent memory - deployed to AgentCore Runtime.\nBuild 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.\nOwn model governance in-product: model bindings across providers, prompt-injection and least-privilege defenses, oversight rules, token / cost accounting.\nPush RAG / retrieval quality: hybrid search, reranking, multi-tenant knowledge, data-model-aware retrieval.\nSet the standard for how AI systems are built, evaluated and shipped here.\nWhat You'll Bring\n8+ years total; 3+ years building and productionizing LLM / agent systems.\nDemonstrated production work with: agent orchestration (LangGraph / LlamaIndex / Agents SDKs / MCP or equivalent), evals & guardrails (RAGAS / DeepEval / Langfuse or your own), and RAG.\nAWS Bedrock (or equivalent managed LLM infra); MLOps; strong Python; comfortable in TypeScript.\nAn AI-security mindset: prompt-injection, least-privilege identity, data-leakage controls.\nBonus\nAgentCore Runtime; DSPy / prompt-optimization; voice / realtime; fine-tuning & serving open-weight models; published or open-source agent work.\nNot The Right Fit If\nYour agent experience is demos and notebooks, or you’ve never had to prove an AI system’s outputs were safe and correct.\nHow We Hire\nOne 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.\nStack\nNestJS · PostgreSQL · React / TypeScript · AWS (Bedrock, AgentCore Runtime, Lambda, S3, IAM / KMS / Secrets Manager, CloudFormation) · Python agent runtime · OpenTelemetry","description_format":"text","description_chars":3177,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance"],"lifecycle":[{"event":"open","at":"2026-10-01T07:19:28Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":15,"reasons":["conf:11","win:early"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/aura-cloud-ai-agent-engineer-principal-lead","json_url":"https://alion.io/job/aura-cloud-ai-agent-engineer-principal-lead.json","meta":{"generated_at":"2026-10-03T02:05:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2262,"day_limit":5000,"remaining_today":2738,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}