{"id":3747824,"url":"https://alion.io/job/orbisops-senior-software-engineer-agentic-ai","title":"Senior Software Engineer, Agentic AI","company":{"id":4461375,"name":"Orbisops","domain":"orbisops.com","url":"https://alion.io/company/orbisops","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-21T19:36:05Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-06T09:54:07Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Company Overview\nOrbis is a technology company that delivers sovereign intelligence and decision capabilities to the United States Government and its allies. We convert complex information and operational systems into decisive outcomes, giving public institutions and critical enterprises the tools to move faster, see clearer, and act first in an increasingly contested world.\nWe are not a consulting firm and not a systems integrator. Every Orbis team is built around practitioners who have operated at the mission edge, and every engagement is judged on one thing: whether it produces working capability, not slide decks. Solutions forged from experience; that is how we build, and it is how we hire.\nJob Summary\nOwn the agentic systems at the center of Orbis AI - the orchestration, planning, retrieval, and tool-use machinery behind the Agent Catalog and the OSINT Agent Harness. You will build agents that hold up under real mission workloads and set the evaluation bar the rest of the organization writes against. This is senior engineering on AI systems: the hard problems are correctness, explainability, cost, and behavior at scale.\nTravel: Up to 15% for customer engagement, integration support, and team collaboration.\nKey Responsibilities\nArchitect and ship agents across the portfolio - knowledge agents over customer data, tool agents that wrap external operations, and goal-driven agents that plan and execute multi-step analysis.\nOwn the orchestration layer: planning, tool selection, state and memory, retries, partial failure, and termination behavior.\nDesign and own retrieval end to end - chunking, embedding, indexing, ranking, and the query-time behavior that decides answer quality.\nBuild the provenance and citation paths that let a user see how a conclusion was reached, and treat unexplainable output as a defect rather than a limitation.\nOwn the evaluation infrastructure for agent quality - accuracy, groundedness, explainability, latency, and cost - and set the standard other engineers write cases against.\nIntegrate model providers and third-party tools behind stable internal interfaces, and instrument agents so quality regressions and cost anomalies surface before a customer finds them.\nPartner with research engineers to productionize validated results, and mentor engineers moving into AI work from a conventional software background.\nTravel up to 15% for customer engagement, integration support, and team collaboration.\nRequired Qualifications\n4+ years of professional software engineering experience, including 2+ years building LLM-backed or agentic systems in production\nBachelor's degree in Computer Science, a related technical field, or equivalent professional experience\nStrong programming skills in Python and/or TypeScript, with substantial production code in at least one\nDeep practical experience with retrieval-augmented generation - embeddings, vector search, chunking strategy, ranking, and the failure modes of each\nDemonstrated experience building and debugging multi-step, tool-using agents, whether on a framework or from primitives\nProven rigor about evaluation, including harnesses that measured whether an AI change actually improved anything\nWillingness to travel up to 15%\nDesired Qualifications\nExperience with knowledge graphs, ontologies, entity resolution, or information extraction\nExperience running open-weight models in constrained or disconnected environments where a hosted API is not an option\nExperience with production observability and cost control for model-backed workloads\nFamiliarity with OSINT, intelligence, or research workflows and the accuracy and provenance expectations that come with them\nExperience mentoring engineers into AI work from a conventional software background\nOpen-source contributions, publications, or academic collaboration in applied AI\nPhysical Requirements\nProlonged periods of sitting at a desk and working on a computer\nParticipation in virtual and in-person meetings\nAbility to attend planned meetings and/or work in classified spaces for extended periods within the specified work regions\nTravel: Up to 15% for customer engagement, integration support, and team collaboration.\nOrbis Benefits\nBeyond the opportunity to work alongside practitioners who have operated at the mission edge, joining Orbis means real ownership over outcomes that matter; the chance to build technology that gives the United States Government and its allies a genuine decision advantage, not just another dashboard. From competitive retirement matching to a PTO policy that encourages real time off, we're committed to creating an environment where our team can do their best work and still have a life outside of it.\nOur comprehensive benefits package is designed to meet the diverse needs of our employees and their families. A full list of benefits is shared with candidates following an initial conversation with our HR team, so you'll have a clear picture of the support and resources available to you as part of the Orbis team.\nOrbis Locations\nOrbis works in whatever arrangement the mission requires. Depending on the role, that might mean five days a week on a customer site, full-time in one of our offices, a hybrid schedule, or fully remote work; our team is spread across 25 states and four countries to match. We make sure every team member has the tools and access needed to do the work, wherever that work happens.\nTravel is common across many Orbis roles, particularly those supporting customer missions in the field.\nOrbis is headquartered in McLean, VA, with additional office locations in Taipei, Taiwan, and Canberra, Australia.\nOrbis is an Equal Employment Opportunity employer. We are committed to providing a work environment free of discrimination and harassment, and we make employment decisions based on merit, \nqualifications, and business need. Orbis does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, genetic information, or any other status protected by applicable law.\nOrbis complies with all applicable equal opportunity and non-discrimination laws in every jurisdiction in which we operate. 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