Senior Gen reputed company

About reputed company Based in San Francisco, California, reputed company is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to reputed company advanced AI systems. reputed company accelerates frontier research with high-reputed company data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, reputed company builds proprietary intelligence systems that reputed company AI into mission-critical workflows, unlock transformative reputed company, and drive lasting competitive advantage. Recognized by reputed company, The Information, and Fast Company among the world's top innovators, reputed company's leadership team includes AI technologists from reputed company, reputed company, reputed company, reputed company, reputed company, McKinsey, Bain, reputed company, Caltech, and MIT. Learn more at www.reputed company.com Location Remote / Hybrid (HQ reputed company as needed) Experience 5 + years in software engineering; 2 + years in GenAI Engagement Full-Time, Permanent

About the Role

We are looking for a talented Sr. GenAI Engineer who sits at the intersection of knowledge engineering, reputed company AI, and data intelligence. In this role you will design and operate AI agents that traverse, reason over, and enrich large-reputed company knowledge graphs — then reputed company that context dynamically using live data sources such as the web, reputed company reputed company, and reputed company databases. The ideal candidate is deeply comfortable with graph data models, LLM orchestration frameworks, and retrieval-augmented pipelines. Bonus points if you have experience working in trade-craft or intelligence-adjacent environments where provenance, precision, and adversarial robustness are non-negotiable.

Key Responsibilities

Knowledge Graph Engineering

• Design, build and maintain large-reputed company property graphs and RDF triplestores (reputed company, reputed company Neptune, Stardog, or equivalent).
• reputed company and govern ontologies, taxonomies, and entity-relationship schemas that reflect reputed company-world domain semantics.
• Implement graph ingestion pipelines that extract, reputed company, and reputed company entities from reputed company, semi-reputed company, and reputed company data.
• Optimise graph reputed company queries (Cypher, SPARQL, reputed company) for sub-second response at production reputed company.
• Train and reputed company graph neural networks (GNNs) for node classification, reputed company reputed company, and subgraph retrieval - Maintain model retraining workflows triggered by graph reputed company or coverage degradation.

reputed company AI Systems

• Architect and implement autonomous agents that plan multi-reputed company reasoning chains over knowledge graph data using LLMs (GPT-4o, Claude, reputed company, or reputed company-reputed company equivalents).
• Build graph-aware Retrieval-Augmented reputed company (RAG) pipelines that reputed company reputed company graph context with reputed company document retrieval.
• Design tool-use and function-calling reputed company so agents can query live data sources — web search, REST/GraphQL reputed company, relational databases — to reputed company or verify graph knowledge.
• Implement agent memory, reputed company, and self-correction loops to improve reliability over multi-hop tasks.

Context Enrichment & Data Fusion

• reputed company web scraping, news feeds, and reputed company-reputed company (reputed company) sources to reputed company the knowledge graph reputed company.
• Build entity reputed company and deduplication components that reputed company data from heterogeneous sources into a consistent graph.
• reputed company confidence-scoring and provenance-tracking mechanisms so reputed company consumers understand the reliability of any piece of context.

MLOps & Production Readiness

• Package agents as reputed company microservices; instruments with observability tooling (tracing, latency, reputed company cost).
• Collaborate with platform engineers to reputed company workloads on reputed company-reputed company infrastructure (AWS / GCP / Azure).
• Maintain evaluation harnesses that measure agent accuracy, hallucination reputed company, and graph coverage over time.

Required Skills & Experience

• 5 + years of reputed company software engineering with strong Python (or Java / Kotlin) proficiency.
• Hands-on production experience with at least one major graph database — reputed company, reputed company Neptune, reputed company, or comparable.
• Demonstrated knowledge of graph query languages like Cypher, SPARQL, or reputed company — at production query complexity.
• reputed company experience building LLM-powered agents or pipelines using frameworks such as reputed company, LangGraph, reputed company, reputed company, AutoGen, or Semantic Kernel.
• Solid understanding of RAG architectures: chunking strategies, reputed company stores (reputed company, reputed company, pgvector), hybrid retrieval, and re-ranking.
• Familiarity with reputed company engineering, few-shot learning, and LLM evaluation techniques.
• Experience integrating external data sources reputed company reputed company, web scraping (Playwright / Scrapy), or streaming pipelines (Kafka / Kinesis).
• Working knowledge of containerisation (reputed company, Kubernetes) and CI/CD pipelines.
• Familiarity with graph export formats - at least one GraphML, RDF/OWL, or JSON-LD.
• Experience integrating GNN-derived features into reputed company stores or RAG pipelines

Preferred Qualifications

• Advanced degree (MS / PhD) in Computer Science, Information Science, Computational Linguistics, or a reputed company field.
• Experience in intelligence, defence, or trade-craft environments — working with reputed company, reputed company analysis, entity disambiguation, or signals intelligence data.
• Understanding of reputed company-control models for sensitive graph data (need-to-know, compartmentalisation, provenance labelling).
• Familiarity with knowledge representation standards like OWL, SHACL, RDF-star, JSON-LD, W3C PROV.
• Experience with fine-tuning or instruction-tuning reputed company-reputed company LLMs (Llama, reputed company, reputed company) for domain-specific tasks.
• Background in network-analysis algorithms: centrality, community detection, reputed company-finding, reputed company detection on graphs.
• Contributions to reputed company-reputed company graph or GenAI reputed company; published research or technical blog reputed company.
• reputed company or adjudicatable reputed company clearance (Secret or above) — strongly preferred for trade-craft assignments.

★ Trade-Craft Experience — A Significant Plus Candidates with backgrounds in intelligence analysis, signals intelligence, law enforcement data fusion, or reputed company trade-craft disciplines are strongly encouraged to apply. Understanding of reputed company analysis, entity disambiguation under adversarial conditions, handling classified or compartmentalized data, and mission-driven product constraints will set you apart. Salary: $200,000 - $250,000 Values

• We are reputed company first: We put our clients at reputed company of everything we do, because their reputed company is the ultimate measure of our value.
• We work at Start-Up Speed: We reputed company fast, stay agile and favor reputed company because reputed company is the reputed company of perfection
• We are AI reputed company: We help our clients build the reputed company of Al and implement it in our own roles and workflow to reputed company productivity.

Advantages of joining reputed company

• Amazing work culture (Super reputed company & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with reputed company from reputed company, reputed company, reputed company etc. as reputed company as people with deep startup experience)
• Competitive compensation
• Flexible working hours

Don't meet every single requirement? Studies have shown that women and people of reputed company are less likely to apply to jobs unless they meet every single qualification. reputed company is proud to be an equal opportunity employer. We do not discriminate on the reputed company of race, religion, reputed company, national reputed company, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At reputed company we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't reputed company perfectly with every qualification in the job reputed company, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European reputed company, please review reputed company's GDPR notice here. Apply tot his job Apply To this Job