{"id":127543,"url":"https://alion.io/job/safe-principal-engineer-ai","title":"Principal Engineer - AI","company":{"id":48325,"name":"Safe Security","domain":"safe.security","url":"https://alion.io/company/safe-security","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":18,"ghost_share":0.222,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":111,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","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":25000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":57},"experience_years_min":12,"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":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"FAISS","optional":false},{"name":"Feature Store","optional":false},{"name":"Go","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangSmith","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Milvus","optional":false},{"name":"MySQL","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Snowflake","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"AutoGen","optional":true},{"name":"CrewAI","optional":true},{"name":"ISO 27001","optional":true},{"name":"LangGraph","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2025-10-07T06:17:21Z","employer_posted_date":"2025-10-07","last_verified_at":"2026-10-17T10:46:33Z","board_verified":true,"closed_at":null,"days_open":375,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":374},"description":"As a Principal Engineer - AI, you will define and lead the technical direction of AI systems that power Safe’s CRQ, CTEM, and TPRM products, including agentic workflows, RAG pipelines, LLM orchestration, and AI-native developer tooling. You’ll be the hands-on architect behind Safe’s AI engineering stack, bridging model intelligence with production-grade infrastructure.\nYou’ll collaborate with product, data, and platform teams to design scalable, explainable, and enterprise-ready systems.\nThis is a high-impact, technical leadership role that will shape how AI is built, deployed, and governed across Safe.\nCore Responsibilities:\n Architect Safe’s AI Systems: Design and scale AI-driven components - LLM orchestration, retrieval-augmented generation (RAG), vector stores, prompt pipelines, and AI microservices. Drive architecture for AI observability, safety, and evaluation (precision, recall, F1, hallucination detection, cost metrics).\n Productionize AI Agents: Build multi-turn, goal-oriented agent systems that automate reasoning across TPRM, CTEM, and CRQ domains (e.g., control reviews, issue RCA, automated responses). Ensure reliability, traceability, and deterministic behavior in production.\n AI Infrastructure & Platform Ownership: Partner with Platform & DevOps teams to operationalize model serving (AWS SageMaker, Bedrock, or self-hosted Llama), build AI APIs, and manage model lifecycle and versioning. Establish feature stores, embedding management, and in-memory retrieval layers.\n Data Pipeline & Knowledge Graph Integration: Work with Data Engineering to design pipelines for structured and unstructured data ingestion, semantic indexing, and context retrieval (Snowflake + Iceberg + LlamaIndex).\n AI Evaluation, Monitoring & Governance: Define internal frameworks for golden dataset validation, LLM evaluation (LangFuse/LangSmith), and safety enforcement policies. Implement human-in-the-loop (HITL) mechanisms and continuous feedback loops.\n Mentor & Multiply: Guide AI and backend engineers on architectural design, experimentation methodologies, and prompt optimization. Collaborate with product leaders to translate abstract AI goals into measurable engineering deliverables.\nMinimum Qualifications:\nExperience: 12+ years total experience in software engineering, including 4+ years building AI/ML systems or large-scale data/LLM infrastructure.\nCore Technical Skills:\n- Strong programming fundamentals in Python, Go, or TypeScript\n- Deep understanding of LLM-based architectures, prompt engineering, and RAG pipelines\n- Hands-on experience with LangChain, LlamaIndex, or equivalent orchestration frameworks\n- Vector databases (FAISS, Pinecone, Weaviate, Redis Vector, or Milvus)\n- Cloud model deployment (AWS SageMaker, Bedrock, Vertex AI, or custom inference APIs)\n- Data systems: Snowflake, Iceberg, S3, Postgres/MySQL\nMLOps & Infra: Familiar with model versioning, CI/CD for ML, and performance optimization for real-time inference.\nApplied AI Focus: Practical understanding of evaluation metrics, hallucination detection, RAG reliability, and enterprise AI safety.\nPreferred Qualifications:\nExperience integrating AI into cybersecurity or risk management products\nFamiliarity with multi-agent systems and autonomous workflows (CrewAI, LangGraph, AutoGen)\nExperience building AI evaluation dashboards and AI observability stacks\nKnowledge of knowledge graphs, semantic search, or retrieval pipelines\nExposure to data governance, compliance, or SOC2/ISO 27001 environments\nPublished research, open-source contributions, or prior leadership of AI teams is a strong plus","description_format":"text","description_chars":3601,"description_truncated":false,"requirements":{"experience_years_min":12,"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":["Artificial Intelligence","Threat Intelligence","Information Security","Cybersecurity AI"],"lifecycle":[{"event":"open","at":"2025-10-07T06:17:21Z"},{"event":"open","at":"2026-09-25T22:20:06Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":374,"expected_fill_days":111,"reasons":["conf:1","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/safe-principal-engineer-ai","json_url":"https://alion.io/job/safe-principal-engineer-ai.json","meta":{"generated_at":"2026-10-17T11:16:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14692,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":48325},"rest":"https://alion.io/mcp/rest/get_company?id=48325"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsafe-principal-engineer-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsafe-principal-engineer-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsafe-principal-engineer-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/safe-principal-engineer-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsafe-principal-engineer-ai"}]}