Top Software Engineer Jobs

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.

Leads multiple software engineering teams responsible for cloud modernization, AI-assisted development, platform evolution, and scalable application delivery. Defines technology roadmaps, guides architecture, manages delivery risks and dependencies, and ensures secure, resilient, high-performing solutions. Develops engineering leaders, drives governance and operational excellence, and partners with executive, product, architecture, infrastructure, cybersecurity, risk, and business stakeholders to align technology investments with strategic outcomes.

Build and operate end-to-end full-stack applications for transaction monitoring and data controls. Develop responsive UI components, Java Spring Boot microservices, REST APIs, event-driven Kafka and Spark pipelines, and cloud-native GCP solutions. Contribute to LLM, Agentic AI, and RAG automation initiatives while ensuring scalability, resilience, observability, security, and performance. Collaborate with cloud, security, data, risk, and compliance teams across globally distributed environments.

Configure, manage, and optimize Algolia search indices for enterprise applications. Implement relevance tuning, faceting, personalization, and query optimization across web and mobile platforms. Monitor search analytics to improve performance, collaborate with product and IT teams, document configurations, and provide training and support.

Lead AI platform architecture, design microservices and REST APIs, mentor engineers, and drive Agile practices for AI systems at scale.

As a Principal Software Engineer, you will lead architectural development and implementation of complex software systems while collaborating with engineering teams across disciplines.

Develop production-grade Python services, pipelines, testing frameworks, and data tools that automate quantitative market and credit risk model lifecycles. Build AI/ML and LLM-enabled documentation, data quality, validation, and workflow capabilities within governed enterprise environments. Collaborate with quants, validators, data engineers, and program leaders while applying secure software engineering, CI/CD, testing, and scalable design practices. Mentor junior developers and contribute to technical design reviews.

Designs and owns full-stack AI developer productivity products and platforms, including desktop applications, backend APIs, data pipelines, dashboards, telemetry, integrations, and developer tools. Leads technical design for scalable AI coding tool integrations, translates ambiguous requirements into production software, and manages reliability, observability, performance, security, and supportability. Evaluates human- and AI-generated code and advances prompt engineering and system-context practices for reliable AI-assisted development.

Builds end-to-end AI Copilot experiences across voice, vision, text, and action. Owns features from concept through scalable production, collaborates with applied AI researchers, rapidly ships experiments, analyzes usage, and iterates on products used by millions. The role requires full-stack frontend and backend expertise, scalable web API development, strong Python skills, and comfort working in ambiguous, fast-moving environments.

Lead the design and development of software applications, collaborate with teams, mentor developers, and improve codebases to meet business goals.

Own product and engineering as a technical co-founder, writing production code and leading architecture, reliability, observability, AI delivery infrastructure, unit economics, roadmap, customer-facing technical work, and founding-team recruitment. Harden the AI voice front desk for production, scale managed AI worker delivery, balance quality and cost, support legal privacy requirements, and expand the platform into additional AI staff roles.

Own the technical direction and product engineering for an AI legal front desk platform. Build production-grade voice and workflow systems, reliability and observability infrastructure, managed AI delivery capabilities, and scalable multi-tenant architecture. Balance AI quality with cost-per-call economics, support customer and investor conversations, convert pilots into paying customers, recruit the founding engineering team, and expand into additional AI staff roles and self-hosted models.

Own product and engineering as a technical co-founder, writing production code and setting technical direction. Build reliable voice and workflow systems, internal AI delivery infrastructure, observability, audit trails, and secure multi-tenant SaaS. Balance AI quality with cost-per-call economics, support customer and investor discussions, expand the AI workforce roadmap, recruit the founding engineering team, and develop self-hosted model capabilities for legal and privacy needs.

Design, develop, and operate secure, scalable, AI-enabled enterprise applications and integrations using .NET, React/Next.js, Azure, distributed systems, and modern architecture patterns. Build cloud-native services, APIs, microservices, observability tooling, AI workflows, and secure integrations for regulated business processes. Contribute to architectural strategy, mentor engineering teams, promote secure SDLC practices, and collaborate across product, business, implementation, and client-facing teams.

As a Founding AI Backend Engineer at Pakket, you'll enhance backend systems, debug the CV pipeline, and deploy services across warehouses, ensuring operational reliability and rapid feature deployment.

Design and build scalable enterprise applications in C#/.NET (APIs, microservices) and integrate AI capabilities (Python, LLMs, RAG, vector DBs, agentic frameworks). Own CI/CD, Azure DevOps workflows, containerized deployments, and collaborate across teams to deliver AI-enabled operational automation and agent integrations.

The Senior Software Engineer will explore AI solutions in healthcare, having experience in full-stack/backend development and startup culture.

As a Senior Software Engineer at Whatnot, you'll build AI tooling for internal use, developing workflows and infrastructure to enhance software delivery. You'll collaborate across teams to gather feedback and prioritize features in a rapidly evolving landscape.

Build and maintain scalable full-stack web applications across front-end and back-end systems. Develop RESTful APIs, integrate AI and machine-learning models using Python, manage SQL and NoSQL databases, and create GitHub Actions CI/CD pipelines. Collaborate with data scientists, troubleshoot and improve existing software, participate in code reviews, and apply modern DevOps, cloud, containerization, and microservices practices.

Build internal software and AI-powered systems that connect Product, Engineering, Sales, Marketing, Programs, and Operations. Responsibilities include integrating SaaS tools, APIs, databases, LLMs, and AI agents; automating workflows; creating systems that translate product specifications into engineering work; maintaining synchronized documentation; supporting controlled government proposal workflows; and improving how employees and agents collaborate.

Build and own mobile experiences for clinicians using Flutter, Swift/iOS, and Kotlin/Android. Develop AI-native workflows involving real-time transcription, ambient documentation, multimodal inputs, offline functionality, and intelligent recommendations. Collaborate with clinicians, product, design, AI, and backend teams from discovery through launch. Ensure performance, accessibility, reliability, analytics, testing, observability, and release readiness while contributing to mobile strategy and mentoring engineers.

Lead quality and performance engineering across Salesforce’s AI tooling organization. Architect scalable test frameworks, resilient systems, performance strategies, CI/CD quality gates, and production-like environments using modern automation, containerization, and observability technologies. Drive cross-functional technical triage, root-cause analysis, reliability improvements, and AI-enabled engineering practices across distributed microservices and multi-tenant platforms.

Designs and maintains AI-powered full-stack applications using React, TypeScript, Python, and FastAPI on Azure. Builds cloud-native, containerized solutions, data pipelines, CI/CD workflows, Terraform infrastructure, dashboards, and secure production systems. Integrates LLMs, AI agents, and machine learning models while partnering with data scientists and business stakeholders. Provides technical leadership, establishes engineering standards, mentors team members, and manages the full software development lifecycle.

Develop and support unattended RPA robots in an enterprise environment using UiPath, Office 365, APIs, AI Fabric, Document Understanding, and OCR. Responsibilities include technical design, workflow automation, robot monitoring, operational support, customer collaboration, process analysis, technical documentation, and deadline management. The role also requires strong communication, analytical, and problem-solving skills, with web development experience and UiPath Advanced RPA Developer certification preferred.

Designs, develops, and scales enterprise process automation, custom applications, APIs, integrations, AI agents, and intelligent workflows. Partners with architects and business stakeholders to translate requirements into scalable Microsoft-based solutions. Responsibilities include integrating ERP, CRM, CPQ, databases, and cloud platforms; troubleshooting and optimizing software; participating in architecture reviews; documenting solutions; evaluating emerging technologies; and supporting governance, security, and compliance.