{"id":3726593,"url":"https://alion.io/job/evolver-senior-genai-engineering-lead-planning-execution-python","title":"Senior GenAI Engineering Lead — Planning & Execution (Python)","company":{"id":155158,"name":"Evolver","domain":"evolver.agency","url":"https://alion.io/company/evolver","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":15,"ghost_share":0,"stale_share":0.267,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false}],"status":"live","first_seen_at":"2026-11-04T01:01:32Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T15:26:44Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About Us\nWe are an innovative AI company with a team of 100+ people focused on transforming core enterprise functions in Fortune 500 companies. Our platform combines a rich understanding of a company’s current state with deep domain expertise to execute these functions with accuracy and consistency through code, statistical methods, and guided ML and LLM execution. It handles processes end-to-end, engaging humans when needed to maximize efficiency and quality. \nJoin us at the forefront of AI innovation, where your expertise will directly shape the future of enterprise operations.\nRole Overview\nWe are looking for a hands-on engineering lead to lead a small team of developers and own the roadmap, architecture, and delivery of the planning and execution layer of our AI platform. \nThis layer translates user goals into actionable plans and coordinates agents, tools, data, and human input to carry those plans through to completion. You will define how workflows are planned, executed, monitored, and adapted as new information becomes available.\nWorking closely with product leaders, domain experts, and engineering teams, you will turn business needs into a prioritized platform roadmap and guide your team in delivering it. This role combines team leadership, including setting direction, coordinating work, and coaching developers, with substantial hands-on Python development from early design through production operation.\nKey Responsibilities\nOwn the roadmap and delivery: Define priorities for the platform’s planning and execution layer, translate them into milestones, and lead delivery aligned with customer needs and business goals.\nEvolve the platform architecture: Lead the evolution of the planner and executor architecture, defining component boundaries, interfaces, and state management to support scalability, extensibility, and reliability.\nAdvance planning and orchestration: Develop capabilities for goal decomposition, agent and tool selection, dependency management, and adaptive replanning based on execution feedback.\nDeliver reliable, observable execution: Build resilient workflows with persistent state, failure recovery, and human oversight. Establish evaluations and monitoring to improve quality, latency, and cost.\nLead a small development team: Set technical direction, coordinate work, coach developers, and maintain engineering quality while writing and reviewing production Python code. Collaborate with product, domain, infrastructure, and security teams to deliver enterprise-ready capabilities.\nQualifications:\nExperience:\n8+ years of professional software engineering experience, with advanced proficiency in Python.\nExperience owning a technical roadmap and/or leading a small development team to deliver software.\nHands-on experience building production-level AI-powered workflows or agent systems \nEducation:\nBachelor's or Master's degree in Computer Science, Engineering, or a related field.\nTechnical Skills:\nStrong Python engineering skills, including API design, asynchronous programming, testing, and production debugging.\nExperience with LLM-based planning, tool calling, structured outputs, context management, and agent orchestration.\nAbility to design execution systems that handle partial failures, retries, concurrency, and persistent state.\nExperience evaluating AI behavior and using traces, metrics, and logs to improve system performance.\nFamiliarity with retrieval-augmented generation and integrating structured and unstructured data into agent workflows.\nExperience with cloud-native services, databases, queues, and deployment practices.\nSoft Skills:\nAbility to turn ambiguous requirements into a clear roadmap and achievable delivery milestones.\nStrong architectural judgment and the ability to communicate technical tradeoffs.\nExperience collaborating with product managers, domain experts, and engineering teams.\nA practical approach to balancing experimentation with production reliability.\nComfort taking ownership in a fast-moving startup environment.\nBenefits\nCompetitive Compensation: Tailored to your experience and skill set.\nFlexible Work Arrangements: Hybrid working model.\nCareer Growth: Opportunities to expand your technical and leadership responsibilities.\n Meaningful Impact: Direct ownership of core platform capabilities that shape how AI delivers professional 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