Top Software Engineer Jobs in Washington DC,

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Build and scale Geolava’s spatial intelligence products across frontend and backend systems. Design APIs, data models, and LLM agent workflows; own features from design through deployment, monitoring, and iteration. Collaborate with product, design, research, and engineering teams to deliver reliable, polished solutions. The role requires strong product judgment, autonomy, production Python experience, full-stack TypeScript and React expertise, cloud infrastructure knowledge, and familiarity with agent loops, RAG, MCP, and geospatial technologies.

Leads full-cycle technical implementations of a cloud-based digital banking platform, translating client requirements into configurations, custom SDK/API solutions, integrations, data conversions, testing, and production launches. Manages client environments, troubleshoots technical issues, supports post-launch operations, and coordinates with Product, Engineering, Services, and Support teams. The role also improves implementation processes, documents technical specifications, manages risks, supports performance testing, and mentors junior team members.

Build and own Lantern’s private-markets data platform, including ingestion pipelines, APIs, and client interfaces. Define product, architecture, and testing specifications for agentic development; review generated code and maintain high engineering standards. Own production systems, database schemas, migrations, deployment infrastructure, observability, and engineering practices while collaborating closely with product managers and engineers.

Build and improve RWX’s developer, build, and test cloud across product areas. Work as a generalist on UI, infrastructure, Linux systems, CI/CD, and reliability. Own planning, execution, releases, architecture, integration testing, and product decisions while maintaining high software quality and thoughtful use of AI agents.

Design, develop, and evolve Algolia’s Salesforce B2C Commerce integration, owning its architecture, scalability, reliability, and long-term direction. Lead technical work from design through delivery, write RFCs, resolve complex integration issues, improve testing and maintainability, and contribute to roadmap planning. Collaborate across Engineering, Product, Support, and customer-facing teams while developing scalable integrations with external APIs and commerce platforms.

Designs and develops complex, full-stack advertising software solutions using Go/Python and AWS. Leads architecture, cloud deployment, testing, CI/CD, performance optimization, monitoring, and production releases. Uses Kubernetes, Snowflake, SQL, Linux, and observability tools. Contributes to technical roadmaps, manages cross-team dependencies and risks, and mentors junior engineers within Scrum and Kanban teams.

Software Engineering Intern working across the technology stack to build semantic search, agentic AI systems, graph data solutions, and production-quality software. The role requires at least 20 hours per week and involves solving complex problems in an early-stage startup environment with significant ownership and experimentation.

Build and own Chamelio’s technical go-to-market infrastructure, including CRM, enrichment, outbound, product analytics, AI agents, API integrations, automations, data pipelines, lead scoring, attribution, and reporting. The role requires independently designing and deploying scalable workflows across tools such as Clay, Attio, Smartlead, PostHog, n8n, and Zapier, while creating custom code and integrations where needed.

Lead and grow the Product Engineering team to deliver customer-facing web dashboards, APIs, integrations, and AI workflows. Own roadmap execution, collaborate with Product and Design, drive engineering best practices (testing, deployment, observability), provide technical mentorship, and remain hands-on in architecture and code reviews to ensure high-quality, scalable SaaS product delivery.