Top Tech Jobs & Startup Jobs

Manage People Operations infrastructure, including benefits administration, employment compliance, HRIS data, employee lifecycle processes, policies, records, reporting, and leave administration. Partner with legal, finance, payroll, brokers, and employees to ensure accurate, compliant, and efficient people programs. Support audits, open enrollment, onboarding, offboarding, accommodations, and process improvements in a fast-growing organization.

Conduct applied research and develop scalable systems for dynamic context graphs, knowledge representation, graph machine learning, information extraction, retrieval, and LLM-based reasoning. Build methods for entity and relationship resolution, temporal reasoning, provenance, uncertainty, and agentic workflows. Design evaluation benchmarks for graph quality and reasoning reliability, prototype systems with engineering teams, and contribute through publications, patents, technical strategy, and mentorship.

Lead architecture and hands-on development of Accrete’s AI Platform across frontend, backend, infrastructure, and platform services. Build scalable APIs, AI agent orchestration infrastructure, developer tools, data integrations, and production AI/ML systems. Drive technical direction, reliability, security, performance, observability, and cloud-native operations while mentoring engineers and owning initiatives from architecture through deployment and iteration.

Build and optimize scalable AI infrastructure and distributed systems for model training and inference. Integrate research into production, improve model efficiency, ensure reliability and security, collaborate with cross-functional teams, and maintain large-scale data pipelines.

Develop a unified AI platform by designing and building scalable applications, improving platform performance, and collaborating with ML engineers.

Build end-to-end frontend and backend features for an AI platform: design scalable APIs, integrate ML models, build user interfaces, improve reliability and performance, and own projects from concept through deployment.

As a Staff Engineer, you will design and build cloud-native systems using Python and microservices architecture, focusing on AI-native solutions and data pipelines while collaborating cross-functionally.

Develop AI-driven automation for government and national security workflows. Build and evaluate machine learning, LLM, NLP, data pipeline, and agentic systems; analyze complex datasets; create evaluation frameworks; and productionize reliable AI capabilities. Collaborate with engineers, mission specialists, and government users to translate ambiguous requirements into measurable solutions, demonstrate capabilities, gather feedback, and improve mission outcomes.

Develop rapid software prototypes combining frontend applications, data pipelines, APIs, AI/ML models, and automation workflows. Ingest, transform, and integrate structured and unstructured data using Python and SQL; experiment with LLMs, RAG, embeddings, and AI agents; and collaborate with engineers, data scientists, product teams, mission experts, and government customers. Translate ambiguous requirements into demonstrable solutions, evaluate technical approaches, document prototypes, support secure deployments, and identify candidates for productionization.

Develop knowledge management workflows and analytical visualizations, including dashboards, maps, reports, and charts, to support government mission users. Analyze structured and unstructured data, translate operational requirements into intuitive visual products, support user testing and training, and collaborate with engineers, data scientists, analysts, and customers to improve information access and decision-making.