{"id":67803,"url":"https://alion.io/job/emergence-ai-engineer","title":"AI Engineer","company":{"id":23917,"name":"Emergence","domain":"emergence.ai","url":"https://alion.io/company/emergence","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irvine, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Context Engineering","optional":true},{"name":"Function Calling","optional":true},{"name":"Go","optional":true},{"name":"Kubernetes","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Rust","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-20T00:17:32Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-25T12:05:48Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":66},"description":"About Emergence AI\nEmergence AI is building AI agents that don't just generate answers-they investigate, reason, and help organizations make better decisions.\nOur platform enables enterprises to deploy intelligent agents that understand complex data, collaborate across business systems, and automate high-value work with the transparency, traceability, and reliability required for production environments.\nMost AI generates answers. We're solving the harder problem: building AI systems organizations can trust with real work. That means developing agents that can evaluate evidence, explain their reasoning, learn from feedback, and operate reliably when the stakes are high.\nFounded by veterans of IBM Research, Google, Microsoft, and Amazon, we're a small team of researchers, engineers, and builders working at the intersection of frontier AI research and real-world customer challenges. Everyone owns meaningful work, collaborates directly with customers, and helps shape the future of our platform.\nAbout the Role\nAs an AI Engineer, you'll build customer-facing capabilities across Emergence's Enterprise Agent Platform, working directly with Product Management, Customer Success, and enterprise customers to turn complex business problems into production-grade AI systems. You'll operate as an AI-native engineer, using AI development tools to accelerate delivery while owning architecture, engineering quality, and customer outcomes. We care more about engineering judgment, ownership, and the ability to learn than expertise in any specific language or framework.\nYou'll\nBuild the core Enterprise Agent Platform that lets customers create, configure, deploy, and operate AI agents securely at scale, including agent orchestration, workflow execution, context management, memory, governance, and enterprise integrations.\nPartner with customers in semiconductor manufacturing, life sciences, and other data-intensive industries to build production-ready AI workflows, then turn those customer-specific solutions into reusable platform capabilities that benefit every customer.\nDesign the systems that make enterprise AI trustworthy, including evaluation frameworks, verification pipelines, policy enforcement, audit trails, observability, provenance, and human-in-the-loop workflows.\nBuild the data and knowledge capabilities that connect to enterprise data sources, discover schemas and semantic relationships, and give AI agents the context needed to reason accurately over complex business data.\nDevelop the runtime that powers long-running AI workflows, managing execution state, retries, approvals, checkpoints, memory, and multi-agent coordination while ensuring reliability and transparency.\nWork directly with Product Management, Customer Success, and enterprise customers in workshops, technical discussions, and production deployments to rapidly understand problems and ship solutions.\nOwn features from concept through production, making thoughtful engineering decisions around APIs, architecture, scalability, security, and performance.\nRaise the engineering bar by establishing reusable patterns and best practices, evaluating emerging AI tools for what meaningfully improves engineering productivity, and continuously simplifying how we build.\nYou'll Have\n3+ years of professional software engineering experience building production software.\nAI-native engineer who uses Claude Code, Cursor, Codex, or similar AI development tools as part of your daily engineering workflow, not just a tool you occasionally reach for.\nStrong software engineering fundamentals - production backend services, APIs, distributed systems, cloud applications, or developer platforms - and comfortable working across the stack, picking up new languages and frameworks quickly.\nExperience building and shipping software used by real customers in production environments.\nStrong problem-solving skills, sound engineering judgment, and excellent communication with customers, product managers, designers, and engineers.\nSelf-driven, curious, and comfortable taking ownership in a fast-moving startup environment.\nBonus Points\nExperience building AI agents, agentic workflows, or enterprise AI applications.\nExperience with LLMs, tool calling, RAG, context engineering, memory systems, or multi-agent orchestration.\nExperience integrating enterprise data sources such as databases, data warehouses, SaaS applications, APIs, or document repositories.\nFamiliarity with Rust, Go, TypeScript, Python, or other modern programming languages.\nExperience with cloud-native platforms, Kubernetes, observability, distributed tracing, or production operations.\nDemonstrated curiosity, rapid learning, and a passion for solving difficult engineering problems.\nEmergence AI offers competitive compensation.\nComprehensive health benefits including medical, dental and vision.\n401(k) with company match.\nFlexible PTO and company holidays.\nFlexible hybrid/remote work environment.\nThe opportunity to work at the forefront of technological advancement.\nCompensation Range: $180K - $250K\nEmergence AI is an equal opportunity employer committed to building an inclusive workplace where people with diverse backgrounds, experiences, and perspectives can do their best work. We believe building trustworthy AI requires diverse ways of thinking, and we're committed to creating an environment where everyone can thrive.\nIf you're excited about this opportunity but don't meet every qualification, we encourage you to apply. 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