{"id":1229916,"url":"https://alion.io/job/value-lane-consulting-senior-knowledge-graph-engineer","title":"Senior Knowledge Graph Engineer","company":{"id":3800676,"name":"Value Lane Consulting","domain":"value-lane.com","url":"https://alion.io/company/value-lane-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OCR","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-22T04:01:47Z","employer_posted_date":null,"last_verified_at":"2026-09-22T04:01:47Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"We are looking for a Senior Knowledge Graph Engineer with strong, hands-on expertise in Neo4j, graph data modelling, advanced Cypher, document intelligence and NLP-based information extraction. The selected candidate will design and build production-grade knowledge graphs that support GraphRAG, recommendation systems and other enterprise AI applications.\n\nKey Responsibilities :\n\n- Document Intelligence and Extraction : Develop and scale automated ingestion and extraction pipelines to process unstructured and semi-structured documents, including PDFs, reports and contracts, using modern NLP, OCR and Large Language Model frameworks.\n\n- Knowledge Graph Architecture : Design robust ontologies and graph data models for Neo4j, ensuring effective schema design for complex domain entities and relationships.\n\n- Pipeline Engineering : Implement Named Entity Recognition, relation extraction, entity resolution and data-disambiguation workflows to ensure the accuracy and consistency of extracted information.\n\n- Database Optimization : Develop, tune and optimize complex Cypher queries. Use Neo4j Graph Data Science algorithms to support applications such as GraphRAG and recommendation systems.\n\n- Data Integration : Build end-to-end pipelines that integrate Neo4j with vector databases, relational databases, APIs and other enterprise data sources.\n\n- Data Governance and Quality : Establish validation frameworks to monitor data quality, graph consistency, relationship integrity and schema evolution.\n\n- Collaboration : Work closely with ML engineers, data engineers and software developers to integrate graph-based data and insights into production-grade enterprise products.\n\nRequired Qualifications and Technical Skills :\n\n- Experience : 6+ years of overall experience in software engineering, data engineering, knowledge engineering or NLP-focused development, including a minimum of 3 years of deep, hands-on production experience with Neo4j.\n\n- Graph Databases : Strong expertise in Neo4j, graph data modelling, schema design, indexing and performance optimization.\n\n- Cypher : Advanced proficiency in writing, profiling and optimizing complex Cypher queries.\n\n- Data Extraction and NLP : Strong experience extracting structured information from unstructured text using NLP, OCR, Python libraries and LLM orchestration frameworks such as LangChain.\n\n- Knowledge Engineering : Hands-on experience with ontologies, Named Entity Recognition, relation extraction, entity resolution and data disambiguation.\n\n- Programming : Advanced proficiency in Python and experience with data-processing libraries such as Pandas and NumPy.\n\n- Pipeline Architecture : Experience designing and building end-to-end data ingestion, transformation and graph-loading pipelines.\n\n- Integration : Experience integrating graph databases with vector databases, relational data stores and enterprise applications.\n\n- Production Experience : Demonstrated experience deploying, optimizing and supporting Neo4j-based solutions in production environments.\n\nPreferred Qualifications :\n\n- Hands-on experience implementing GraphRAG architectures.\n\n- Experience with Neo4j Graph Data Science.\n\n- Experience with vector search, embeddings and hybrid graph-vector retrieval.\n\n- Familiarity with Microsoft Azure.\n\n- Experience with Docker and Kubernetes.\nSkills\nKnowledge Graph, Neo4j, Graph DBMS, NLP, Data Modeling, Cypher Query Language, Python, Data Ingestion","description_format":"text","description_chars":3436,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Human Resources","Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"visa":[],"liveness":{"score":72,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.802,"p_room":0.9,"age_days":12,"expected_fill_days":24,"reasons":["seen:12","velocity","win:mid"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/value-lane-consulting-senior-knowledge-graph-engineer","json_url":"https://alion.io/job/value-lane-consulting-senior-knowledge-graph-engineer.json","meta":{"generated_at":"2026-10-05T01:39:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2234,"day_limit":5000,"remaining_today":2766,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}