project44ではシニアソフトウェアエンジニアを募集しています。物流サービスプロバイダー向けのAIベースのバックエンドシステムの設計と運用を担当します。Javaを用いた大規模マイクロサービスの開発経験と、クラウド環境(GCP)でのシステム構築能力が必須です。シカゴ本社へ週3回出社するハイブリッド勤務形態です。AIツールの活用に長け、技術的なオーナーシップを持てる方を求めています。
tags.new
Chicago
At project44, we believe in better — and p44LSP.ai is what better looks like for the logistics service provider market.
For years, project44 focused on global shippers as our core customer. That focus worked. Our Shipper business is a category leader growing 20% year-over-year. That strength is what makes the next chapter possible.
Shippers and LSPs are fundamentally different businesses. Shippers buy logistics software to support their core operations. Logistics Service Providers — freight forwarders, brokers, and 3PLs — sell logistics as their product. Their software is their competitive edge. They buy fast, build on APIs and agents, and reward teams that ship in weeks, not quarters.
This is why we created p44LSP.ai: a dedicated, AI-native division built to serve the LSP market with the focus, speed, and resources it deserves. It's the scope and ownership of an AI startup, backed by the infrastructure of a $124M business — 259K carriers, billions of shipment outcomes, agents in production, and direct access to project44's data graph, carrier network, and enterprise relationships.
This is a small, hand-picked team operating across Chicago, San Francisco, Bangalore, and the EU. Flat org. Forward-deployed engineering. AI coding tools across the workflow. Agents as the product surface. Customers who pilot in weeks and tell you what they think directly.
The LSP market is moving fast. AI agent startups are growing 300%+ year-over-year, and seven of eight sell to LSPs. We have the data position, the platform, the customers, and now the team. We're hiring the engineers who will build it with us.
We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk.
You will work in a fast-paced Agile environment designing, building, and operating backend systems that power decision intelligence capabilities for logistics service providers. You won't be a cog in a large engineering machine — you'll be close to the product, close to customers, and shipping things that matter.
Design, build, and operate backend systems that power decision intelligence capabilities, using AI and analytics to help LSP customers make informed, timely, and confident supply chain decisions
Build services and workflows that reduce manual effort and enable action — helping customers collaborate more effectively with carriers and partners
Own and modernize core platform services such as identity and access management (IAM) and search infrastructure, keeping them secure, scalable, and extensible as new AI capabilities are introduced
Transform large-scale logistics data into actionable insights — supporting recommendations, decision support, and automated actions
Partner closely with product, data, and design to translate ambiguous customer problems into well-scoped, scalable technical solutions
Build and operate systems on Google Cloud Platform (GCP), leveraging managed services for reliable, scalable backend delivery
Take shared ownership of development, testing, deployment, and operations for your team's systems
Participate in on-call rotation, debugging and resolving issues across your team's services
Improve observability, monitoring, and operational tooling to ensure system reliability
Contribute to technical design discussions, code reviews, and documentation — setting a high bar for quality and maintainability
Mentor and support other engineers through code reviews, pairing, and technical guidance
5+ years of professional experience building large-scale, cloud-based systems
Strong programming and debugging skills with proficiency in Java
Experience designing and building scalable Java-based microservices
Experience designing and consuming APIs and web services (REST, OpenAPI/Swagger)
Experience working with NoSQL and/or relational databases (MongoDB, DynamoDB, Postgres, or similar)
Experience working in an Agile software development environment
Comfortable using AI-assisted development tools (Cursor, Claude, GitHub Copilot, or similar) while maintaining high standards for code quality and correctness
Event-driven systems and stream-processing pipelines (Kafka, Kinesis, or similar)
Containerization and orchestration (Docker, Kubernetes)
Experience designing or working with agentic AI systems — multi-step or autonomous LLM-powered workflows
Familiarity with agentic AI frameworks or patterns: task planning, tool invocation, stateful agents, workflow orchestration
Building platform or framework-level solutions that enable AI-driven automation and decision-making
Clear communicator — you can explain technical decisions through design docs, discussions, and reviews, and work well with both technical and non-technical partners
Analytical and comfortable with ambiguity — you make tradeoffs explicit and navigate uncertainty without waiting to be told what to do
Strong sense of ownership — you voice ideas, take feedback, and iterate toward better solutions
Work Authorization: Candidates must be authorised to work in the US without current or future employer-sponsored visa support.
In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters 3 days a week. Together, we’re building something extraordinary—learn, grow, and thrive in our fast-paced, transformative environment.
We continually evaluate our pay ranges to reflect skills, experience, and market conditions. The base salary offered will be determined by assessing a candidate's experience and skills relative to the scope and responsibilities of the position, as well as the specific geographic location where the job will be performed. Base salary is one component of project44's total compensation package, which also includes stock options for all EOR and project44-employed team members, bonus or commission eligibility depending on role, and a benefits package tailored to your country of employment. Specific benefits package offerings vary by country and may include health, dental, and vision coverage, retirement plans, and paid time off, in line with local market standards and statutory programs. The base salary range for this position is USD130,000 – USD190,000
At project44, we're designing the future of how the world moves. As we work to deliver a truly world-class product, we're intentionally building teams that reflect the unique communities we serve. We're focused on creating a company where all team members can bring their authentic selves to work every day.
project44 is an equal opportunity employer. If you share our values and passion for the future of logistics, we'd love to review your application. Even if you don't meet 100% of the requirements, please consider applying — studies show you can still be a strong candidate at 50%.
For any accommodation needed during the hiring process, please email recruiting@project44.com.
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