Top Artificial Intelligence Software Engineer Jobs

Build and maintain Derin, an AI-powered interview platform, across frontend and backend systems. Develop React and Next.js dashboards and survey applications, TypeScript and Python APIs, database features, data visualizations, access controls, and performance improvements. Own testing, observability, releases, security, and privacy for sensitive participant data. Collaborate with product, design, research, and engineering teams while using AI-assisted development tools to deliver features end to end.

Design and maintain Anaconda’s internal package build and release platform, improving security, access control, reliability, and operational resilience. Responsibilities include writing software and architecture documentation, reviewing code, diagnosing complex issues, partnering across teams, using AI tools to reduce toil, mentoring engineers, and driving investments that reduce production risk. The role focuses on Python-based infrastructure, platform tooling, DevOps, and SRE practices in a fully remote environment.

Develop software tools for molecule and protein visualization, machine learning model analysis, and chemical workflow management. Collaborate with machine learning engineers and medicinal chemists to productionize computational methods for molecular property prediction. Help scale infrastructure supporting massive datasets and parallel deep learning and molecular dynamics workloads while maintaining high code quality.

The Software Engineer will develop vertical workflows, implement scalable service architectures, ensure production-grade systems, evaluate AI performance, and collaborate cross-functionally to enhance engineering efficiency with AI tools.

Leads the design and development of JavaScript and TypeScript software solutions for commercial and government clients. Provides technical leadership, mentorship, code reviews, client collaboration, Agile guidance, architecture oversight, accessibility compliance, testing, and continuous improvement. Builds full-stack applications using Node.js and related frameworks while promoting secure coding, RESTful API design, and emerging technologies.

Administer and optimize Oracle databases in OCI, including Exadata, Autonomous Database, CDB/PDB environments, migrations, data transfers, performance tuning, backups, disaster recovery, patching, and federal security compliance. Execute legacy workload migrations using Data Pump, Transportable Tablespaces, and Zero Downtime Migration while maintaining high availability and protecting mission-critical DHS systems.

Conduct technical interviews for Power Platform specialists, assessing practical expertise in Power Apps, Power Automate, SharePoint Lists, Microsoft 365 integrations, security, and governance. Evaluate problem-solving, solution design, and business-requirement analysis skills. Provide structured candidate feedback, collaborate with recruiters on interview criteria, and refine technical assessments. The role also involves troubleshooting and maintaining Power Platform solutions, with interviewing or mentoring experience and Power BI knowledge preferred.

Build data lifecycle infrastructure for collecting, retaining, redacting, and deleting sensitive customer data. Responsibilities include PII and PHI detection, configurable retention policies, reliable deletion workflows, self-service APIs, LLM-backed anomaly detection, multimodal redaction, monitoring, auditability, and fault-tolerant systems at scale.

Lead and develop a software engineering team building Python-based healthcare revenue cycle automation. Responsibilities include people management, hiring, technical leadership, code reviews, agile delivery, architecture guidance, stakeholder collaboration, compliance oversight, process improvement, and delivery accountability. The role requires hands-on understanding of Python automation, Azure, healthcare data security, HIPAA, HITRUST, and engineering best practices.

Administer Microsoft SQL Server environments through monitoring, maintenance, patching, access control, performance tuning, backup and recovery, troubleshooting, and security remediation. Support data warehouse operations, schema changes, scheduled integrations, outage restoration, and recovery testing. Maintain operational documentation and runbooks while coordinating with architects, application teams, infrastructure, cybersecurity, data engineering, analytics, testing, and government stakeholders.