{"id":2709486,"url":"https://alion.io/job/lyzr-staff-core-engineer-platform-team-us","title":"Staff Core Engineer (Platform Team)- US","company":{"id":1805441,"name":"Lyzr","domain":"lyzr.ai","url":"https://alion.io/company/lyzr","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":79,"open_postings":31,"ghost_share":0.355,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":207000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1394},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-06-29T06:18:16Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-28T21:19:40Z","board_verified":true,"closed_at":null,"days_open":121,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":120},"description":"About Lyzr\nLyzr is the full-stack agent infrastructure platform that lets enterprises build, govern, and deploy a secure, autonomous AI workforce. Where most companies run a handful of copilots, Lyzr is the layer that lets them run an entire AI workforce in production - governed, reliable, and at scale.\nBacked by Accenture and trusted across banking, insurance, sales, marketing, HR, and customer service, Lyzr offers a “third way” for enterprise AI: the flexibility of an open platform combined with the security of a managed platform, deployed inside the customer’s own environment for full data privacy and IP ownership.\nThe Platform team builds the engine underneath all of it: the agent framework and its core components - orchestration, tool execution, agent memory, RAG, Text2SQL, guardrails, and observability.\nThe Role\nAs a Staff Core Engineer on the Platform team, you own entire complex systems end-to-end. You set the technical direction for our core agent architecture - orchestration, tool execution, memory, RAG, Text2SQL, and guardrails - and you push the platform forward with new ideas and a research-driven mindset.\nThis is a hands-on technical leadership role. You’ll lead design reviews, set quality standards, mentor engineers across the team, and make the architectural calls that determine how reliably our AI workforce runs in production at scale.\nWhat You’ll Do\nDesign and own entire complex systems end-to-end, from architecture through production operation\n\nOwn the core agent architecture: orchestration, tool execution, agent memory, RAG, Text2SQL, and guardrails\n\nDrive scalability and reliability across distributed systems serving enterprise agent workloads\n\nEstablish robust cloud, CI/CD, monitoring, logging, and tracing practices for the platform\n\nBring a research-driven mindset - evaluate emerging techniques and turn promising ideas into shipped capabilities\n\nLead design reviews, set engineering quality standards, and mentor senior and junior engineers\n\nPartner with product and other teams to translate ambiguous problems into durable technical strategy\n\nWhat We’re Looking For\nDemonstrated track record of building impactful, large-scale systems end-to-end\n\nDeep expertise in distributed systems and scalable architectures\n\nStrong, current Python expertise and excellent system design instincts\n\nHands-on experience operating production systems on the cloud with mature CI/CD, monitoring, logging, and tracing\n\nExperience with one or more core agent components: orchestration, tool execution, memory, RAG, Text2SQL, or guardrails\n\nProven ability to mentor engineers, lead design reviews, and raise the bar for quality across a team\n\nNice to Have\nGo for performance-critical components\n\nPublished research or open-source contributions in LLM/agent infrastructure\n\nExperience building guardrails, safety, or responsible-AI systems\n\nPrior experience in an enterprise or regulated environment (e.g., banking, 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