Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Design, build, and operate backend services supporting external penetration testing, including Python APIs, workflow orchestration, ETL pipelines, AWS data lakes, GraphQL and graph APIs, Kubernetes infrastructure, and observability systems. Own service performance, scalability, uptime, deployment, and production operations while collaborating with product, design, and frontend teams. Contribute to architecture, technical documentation, platform stability, and user-facing launches.

Build and maintain scalable backend services with TypeScript and Node.js, integrate third-party APIs, write tested code, and use AI tools for development workflows. The role requires proactive ownership of bugs, performance, architecture, communication, and independent prioritization in a remote environment.

Leads enterprise database operations across IL5 cloud and on-premises environments supporting a federal and DoD mission. Responsibilities include database engineering, schema governance, performance tuning, security compliance, vulnerability remediation, backup and recovery, replication, clustering, and failover. The role integrates databases with SDLC, CI/CD, and DevSecOps workflows, supports cloud modernization, manages access controls and documentation, and leads a team of database administrators.

Designs, builds, and productionizes healthcare knowledge graph solutions using LPG and RDF technologies. Develops FHIR data transformation and ingestion pipelines, ontology mappings, entity linking, provenance tracking, graph queries, and automated validation. Translates semantic specifications into scalable implementations while collaborating with ontology, terminology, clinical, FHIR, and data engineering teams. Participates in technical design, architecture reviews, code reviews, and engineering best practices.

Own and grow either the data engineering or product/web application team. Set technical direction, maintain engineering quality, guide architecture and delivery, mentor and evaluate engineers, hire talent, manage performance, and align engineering outcomes with customer and business goals. The role requires hands-on technical credibility, reliable execution, strong communication, and comfort operating autonomously in an early-stage defense technology company.

Lead technical design, development, integration, optimization, and production support for the Korber Supply Chain WMS. Build custom workflows, screens, business logic, APIs, EDI integrations, database solutions, and MHE interfaces. Optimize performance, support high-volume warehouse operations, conduct code reviews, establish development practices, mentor junior staff, and serve as a Tier 3 escalation point during critical incidents and go-lives.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Own and improve Elicit’s scholarly search and data platform, building distributed data pipelines, secure external integrations, and end-to-end product features. Develop Python and TypeScript services, React and Next.js interfaces, and reliable APIs. Manage data quality, provenance, observability, staged deployments, and system performance while collaborating with product, customers, partners, and engineering teams.

Leads a forward-deployed engineering team delivering customer integrations, data migrations, technical implementations, and escalations. Owns customer relationships from kickoff through go-live, designs integrations with GIS, CMMS, and inspection platforms, builds ETL and validation tooling, and manages team capacity, development, and performance. Partners with Sales, Solutions Engineering, Product, and Engineering to improve technical feasibility, scope work, and turn recurring custom implementations into reusable products and processes.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).