Top Software Engineer Jobs

Design, build, test and support batch and streaming data pipelines and curated datasets on a lakehouse/AI data platform. Work across ingestion, transformation, modeling, optimization, data quality and reconciliation; improve platform tooling and standards; collaborate with stakeholders and lead delivery and technical design for workstreams.

Lead development and commercialization of Cloud Data solutions: design cloud data architectures, lead migrations and ETL/ELT, operationalize AI across clouds, support strategic sales pursuits, enable and train solution architects, secure partner co-investment, and provide steering‑committee oversight to mitigate delivery risk and drive practice growth.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

The AI Tools Architect/Tech Lead role involves designing AI personas, maintaining AI configuration artifacts, and leading impactful engineering teams. The candidate will innovate with AI coding tools, evaluate code review agents, and drive organizational change through documentation and collaboration across teams.

Build end-to-end internal applications for Finance and Supply Chain: design React/TypeScript UIs, Python services/APIs, durable workflows, and enterprise integrations (Oracle Fusion, Zip). Own product lifecycle from discovery to rollout and production support, ensuring reliability, security, auditability, and reusable building blocks; apply AI where valuable.

Lead design, build, and operate platform-level IAM services across the stack. Define APIs, data models, and orchestration surfaces. Research and deliver Identity-for-AI capabilities and prototypes, collaborate with product and UX, mentor engineers, and support production lifecycle activities using modern AI tooling to accelerate development.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.

Design, build, and maintain scalable backend and frontend automation solutions for analytics and reporting. Partner with stakeholders to streamline processes, create and optimize data assets and dashboards, maintain SQL databases (cloud and on-prem), measure automation ROI, support projects, and mentor junior team members.

Design, build, and deliver AI-enabled, cloud-native full-stack solutions for Lending platforms. Lead components, implement APIs, CI/CD, observability, and AI patterns (Prompt Engineering, RAG). Mentor engineers, collaborate with architects and business partners, ensure security/compliance, and produce operational documentation and production-ready code.

Design, develop, test, and maintain LabVIEW-based and multi-language diagnostics and calibration software for reticle inspection platforms. Prototype and productionize AI/ML and generative-AI tools to improve diagnostics, calibration, and engineering workflows. Build CI/CD pipelines, participate in design/code reviews, troubleshoot system-level issues, and collaborate with cross-functional hardware, system, and manufacturing teams. Occasional travel (~10%).

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

Lead a team to optimize algorithms for Deep Learning and Machine Learning, define technical initiatives, and collaborate with various teams for hardware and software innovation.

Design and implement graph-based search services and scalable backend systems using Java and Spring Boot. Build GraphQL/REST APIs, integrate with AWS services and databases, ensure observability with New Relic and Coralogix, mentor engineers, and collaborate on search and recommendation features to deliver reliable, cloud-native solutions.

Own and improve Rime's React/TypeScript web app, build conversion and onboarding flows, architect analytics pipelines and instrumentation, implement growth-oriented features, and partner with product, marketing, and sales to measure and optimize user funnels and acquisition.

Hands-on founding engineer building a production Shopify app, storefront widget, video upload flow, and AI extraction pipeline. Ship, harden, and operate full-stack systems, ensure reliability and conversion-focused UX, and scale tooling for self-serve merchant onboarding.

The Solutions Architect will partner with startups to develop and scale Generative AI applications, providing technical guidance and prototyping support, while synthesizing feedback for product improvement.

As a Software Engineer, you'll design AI applications, implement multi-agent architectures, build RAG pipelines, and ensure enterprise-grade reliability by optimizing performance and collaborating with teams.

Sola seeks a Software Engineer for Desktop Automation to own and enhance their execution platform, focusing on reliability and integrating with AI pipelines.

The Senior Full Stack Engineer will enhance customer onboarding and AI financial planning features by building robust systems and leading engineering best practices.

Seek a Senior Back End Engineer to develop AI-driven applications, mentor engineers, and solve complex engineering challenges while focusing on scalability and data integrations.

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.

Lead design and implementation of a distributed simulation, modeling, and emulation environment for high-performance AI hardware. Define the simulation roadmap, build simulation infrastructure from scratch, integrate estimation tools, model training/inference workflows on heterogeneous GPU/CPU/accelerator clusters, and collaborate with internal teams and external partners.

Design and implement full-stack applications for GenAI, build developer tooling, collaborate with product teams, and enhance AI agent delivery.