Top Software Engineer Jobs

Leads and develops a customer-facing Forward Deployed Engineering team that accelerates adoption of Target’s AI platforms. Provides architecture guidance, technical onboarding, prototyping, implementation support, and developer enablement. Partners with platform, product, security, responsible AI, and business teams to create scalable AI solutions and reusable engineering patterns. Oversees governance, support channels, platform adoption, documentation, and continuous improvements while remaining involved in architecture, code reviews, and complex technical problem-solving.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

Join Raft to innovate national defense technology. Collaborate on AI, machine learning, and UX/UI design to create impactful defense solutions.

Lead end-to-end product builds by orchestrating AI coding agents to create applications, automations, and agents. Translate customer needs into deployable solutions, instrument and iterate on outcomes, validate AI outputs for security and quality, engage with customers to find automation opportunities, and document prompts and patterns for the team.

Lead full-stack development in AI-native solutions, design responsive features, ensure system quality, and collaborate on product iterations.

Leads the design, development, and deployment of scalable, reliable software and infrastructure solutions. Builds AI agents, automation workflows, observability integrations, and monitoring systems using technologies including C++, Python, Java, Claude, Codex, BigPanda, ITMP, and Prometheus. Collaborates across teams, drives engineering standards, mentors junior engineers, and manages complex end-to-end projects.

The Senior Machine Learning Engineer will develop NLP solutions, manage datasets, optimize performance metrics, and work on ML applications for healthcare.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Build the enterprise platform for an AI creative product, including workspaces, roles, permissions, SSO, audit logging, usage-based billing, invoicing, and payment infrastructure. Design scalable APIs and multi-tenant architectures, strengthen security and reliability, and create React/Next.js administrative experiences. Partner with founders, sales, and customers to deliver enterprise requirements, establish engineering practices, and help shape the enterprise engineering team.

Design and operate scalable, event-driven backend systems in Python to power agentic AI workflows and real-time financial infrastructure. Own APIs, data architecture, reliability primitives, and platform foundations while partnering with ML and product teams to productionize AI-native financial systems.

As a Knowledge Development Engineer, you'll architect and deploy AI-driven production systems, reverse-engineer existing systems, and guide product development. You'll synthesize customer feedback and lead experiments to connect technical development with business outcomes.

The Knowledge Development Engineer leverages AI agents to solve customer problems by building applications and automating workflows, focusing on delivery speed and quality.

Design and operate scalable, event-driven backend systems in Python for AI-native financial products. Build typed APIs (FastAPI + Pydantic), own data and ledger architectures, develop reliability primitives, partner with ML teams to productionize models, and ship platform foundations for audited, high-throughput financial workflows.

Responsible for developing and enhancing an AI SDK, ensuring high performance and integration with deployment platforms, while collaborating with cross-functional teams and engaging with the open-source community.

Leads multiple product engineering teams across Savvy’s product lines, including its advisor-facing AI platform. Owns engineering strategy, execution, architecture, organizational design, staffing, technical quality, and delivery accountability. Partners with Product and Design to prioritize investments, guide system design, resolve dependencies, and connect engineering decisions to customer and business outcomes. Provides hands-on technical leadership through code reviews, prototypes, debugging, and AI implementation guidance while developing engineering leaders and scaling the organization.

Build OpenArt’s enterprise AI platform for teams and organizations. Responsibilities include developing workspaces, RBAC, SSO/SAML, audit logging, usage-based billing, invoicing, payment integrations, scalable APIs, multi-tenant architecture, and polished React/Next.js administration experiences. The role also involves improving security, data isolation, reliability, and SOC 2 groundwork; partnering with founders, sales, and customers; making infrastructure decisions; and establishing enterprise engineering practices as the first hire.

Lead architecture, bring-up, validation, optimization, and deployment of networking infrastructure for large-scale AI training and inference. Define networking requirements, design Layer 3/4 and RDMA/AI fabric solutions, develop validation and observability tooling, perform packet-level debugging and root-cause analysis, and collaborate across silicon, firmware, software, and Azure teams to ensure performance, scalability, and reliability of hyperscale AI clusters.

Designs and delivers AI-augmented enterprise integration platforms, API ecosystems, and autonomous workflows. Responsibilities include developing event-driven distributed systems, integrating SAP and SaaS applications, managing API lifecycles, supporting EDI deployments, implementing secure identity and access controls, and building CI/CD and observability capabilities. The role uses agentic AI, workflow automation, and intelligent monitoring to enable self-healing, adaptive integration across cloud and enterprise environments.

The Senior Application Engineer will develop cloud-native applications and APIs, focusing on AI products, utilizing AWS technologies, and engaging in Agile project cycles.

Lead design, development, and delivery of Java and AI-powered applications using Python, Spring Boot, and Oracle PL/SQL. Perform systems analysis, develop and refine AI agents, manage AI-focused projects end-to-end, mentor developers, collaborate with stakeholders, and ensure solutions meet performance, compliance, and business objectives under tight deadlines.

Lead the full development lifecycle, building scalable APIs and systems, mentoring engineers, and delivering impactful AI-driven software solutions.

Build and own polished AI-native frontend experiences using React, Next.js, TypeScript, and Tailwind CSS. Architect scalable component systems, state management, API integrations, and performance optimizations. Partner with product and backend teams to turn AI capabilities into intuitive workflows, rapidly prototype with AI tools, and ship user-facing features from concept through production. The role combines strong frontend engineering with exceptional design sensibility and product thinking.

Build and ship production frontend features for AI-native enterprise workflows. Integrate backend APIs, develop reusable UI components, collaborate with designers and engineers, and improve performance, state management, and user experience. The role offers mentorship while developing advanced React skills, AI-powered interfaces, and scalable frontend architecture.

Lead the design, development, and operation of production-grade automation, agent frameworks, and CI/CD pipelines supporting documentation, localization, and language operations. Integrate platforms through REST APIs and MCPs, apply LLM capabilities responsibly, improve reliability and scalability, establish reusable standards, and mentor engineers. The role is fully remote in the US, with preferred Eastern or Central time zone availability.

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.