{"id":3726590,"url":"https://alion.io/job/evolver-senior-graph-engineer-python-2","title":"Senior Graph Engineer (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":"2026-11-04T06:34:25Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","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":6,"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":"2026-11-04T02:27:40Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-04T10:31:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us:\nWe are an innovative AI startup focused on transforming professional services through Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans when needed to maximize efficiency and accuracy. Join us to build the knowledge infrastructure that connects enterprise information and powers intelligent applications.\nRole Overview:\nWe are looking for an experienced Python engineer with deep expertise in graph technologies and knowledge representation to join our Data & Knowledge team. As a Senior Graph Engineer, you will lead the design, development, and deployment of graph-based systems that connect structured and unstructured data, support complex queries, and improve AI retrieval and reasoning. You will work closely with AI engineers and domain experts to turn enterprise information into reliable, actionable knowledge.\nKey Responsibilities:\nGraph Architecture and Modeling: Design and build scalable knowledge graphs, defining schemas, ontologies, entities, and relationships that reflect complex business domains.\nData Integration: Build pipelines that extract, normalize, and connect data from documents, databases, and external systems, with support for incremental updates.\nEntity Resolution and Data Quality: Implement entity matching, deduplication, relationship validation, and provenance tracking to maintain trustworthy graph data.\nGraph Retrieval and AI Integration: Develop graph-based retrieval capabilities and integrate them with vector search, RAG systems, and AI agents.\nPerformance and Reliability: Optimize graph queries, indexing, and storage; implement testing, monitoring, access controls, and recovery practices.\nPython Development: Develop production-grade services, APIs, and pipelines for graph ingestion, querying, and integration with enterprise applications.\nQualifications:\nExperience:\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 \nIdeally, experience using knowledge graphs in AI/agentic applications to support graph or hybrid Graph-RAG retrieval \nEducation:\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\nTechnical Skills:\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.\nFamiliarity with knowledge graphs in AI applications, including GraphRAG, hybrid graph and vector retrieval, or agent tools, is a plus.\nSoft Skills:\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.\nBenefits\nCompetitive Compensation: Tailored to your experience and skill set.\nFlexible Work Arrangements: Hybrid working model for work-life balance.\nCareer Growth: 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