{"id":3722691,"url":"https://alion.io/job/evolver-senior-graph-engineer-python","title":"Senior Graph Engineer (Python)","company":{"id":4506360,"name":"Evolver","domain":"evolver.ai","url":"https://alion.io/company/evolver-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","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":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Neo4j","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-04T02:29:00Z","employer_posted_date":null,"last_verified_at":"2026-11-04T02:29:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Evolver is an AI startup building agent-driven solutions for professional services. The Senior Graph Engineer designs, develops, and deploys graph-based systems that connect enterprise data, support complex queries, and improve AI retrieval and reasoning.\n\nResponsibilities\n**Graph Architecture and Modeling:** Design and build scalable knowledge graphs, defining schemas, ontologies, entities, and relationships that reflect complex business domains\n**Data Integration:** Build pipelines that extract, normalize, and connect data from documents, databases, and external systems, with support for incremental updates\n**Entity Resolution and Data Quality:** Implement entity matching, deduplication, relationship validation, and provenance tracking to maintain trustworthy graph data\n**Graph Retrieval and AI Integration:** Develop graph-based retrieval capabilities and integrate them with vector search, RAG systems, and AI agents\n**Performance and Reliability:** Optimize graph queries, indexing, and storage; implement testing, monitoring, access controls, and recovery practices\n**Python Development:** Develop production-grade services, APIs, and pipelines for graph ingestion, querying, and integration with enterprise applications\n\nSkills\n6+ years of professional software engineering experience, with strong expertise in Python\n2+ years of hands-on experience developing graph-based applications, knowledge graphs, or graph data platforms\nBachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience\nAdvanced proficiency in Python and libraries like NetworkX, Pandas, NumPy, or similar\nStrong understanding of graph data modeling, graph traversal, indexing, and query optimization\nHands-on experience with a graph database such as Neo4j, Amazon Neptune, or Azure Cosmos DB for Apache Gremlin\nProficiency in a graph query language such as Cypher, Gremlin, or SPARQL, with an understanding of property graph or RDF models\nExperience building data ingestion and transformation pipelines across structured and unstructured sources\nFamiliarity with entity resolution, ontology design, data lineage, and graph data quality practices\nExcellent communication skills, including the ability to explain graph concepts and technical tradeoffs to nontechnical stakeholders\nStrong analytical and problem-solving skills, with attention to data quality and system reliability\nAbility to own projects from design through deployment and collaborate across disciplines\nComfortable navigating ambiguity and evolving priorities in a fast-paced startup\nIdeally, experience using knowledge graphs in AI/agentic applications to support graph or hybrid Graph-RAG retrieval\nFamiliarity with knowledge graphs in AI applications, including GraphRAG, hybrid graph and vector retrieval, or agent tools, is a plus\n\nBenefits\nHybrid working model for work-life balance.\nOpportunities for professional development and technical leadership.\n\nCompany Overview\nEvolver is a software company that helps large enterprises modernize and transform their operations using advanced artificial intelligence. It was founded in 2024, and is headquartered in Palo Alto, California, USA, with a workforce of 51-200 employees. Its website is https://www.evolver.ai/.\n\nCompany H1B Sponsorship\nEvolver has a track record of offering H1B sponsorships, with 4 in 2026, 1 in 2025, 4 in 2024, 4 in 2023, 4 in 2022, 6 in 2021, 1 in 2020. 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