Senior Software Engineer 1

Why project44?
At project44, we believe in better.
We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.
With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.
Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.
AI at project44
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.
Description:
project44 is looking for a Senior Software Engineer 1 to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.
The Role
Most support engineers respond to tickets. Internally Deployed Engineers (IDEs) rebuild the response itself. You'll work directly with Customer Facing teams — Support, Customer Success, Solutions — to rapidly design and build multi-agent systems that resolve customer problems with speed and quality. This isn't about shaving minutes off response time. Your job is to replace the reactive, human-in-the-loop support model with autonomous agent workflows that diagnose, resolve, and escalate on their own. You embed with the teams closest to customer pain, learn exactly where the current model breaks down, and ship agents that fix it — in weeks, not quarters.
What You'll Work On
Partner embedded with Support/CS/Solutions teams to identify recurring, resolvable customer issues and design multi-agent workflows that handle them end-to-end
Build and iterate on agent architectures — context retrieval, tool invocation, decision logic — that diagnose issues, pull the right data, and take action across internal systems
Feed agents the right context and debug failures, tracing a bad resolution back to the specific data point, prompt, or tool call that caused it
Instrument agent performance (accuracy, resolution rate, escalation rate) and iterate quickly based on real outcomes, not assumptions
Design and own team-level technical solutions end-to-end, not just the parts that are easy to hand off
Translate patterns observed in the field — what Support actually struggles with — into product and roadmap input for the broader engineering org
Technical Aptitude
Writes meaningful code reviews for agent tooling and integration code.
Debugs systematically across distributed, non-deterministic, agent-driven workflows — sometimes with help from more senior engineers.
Helps improve monitoring and observability for agent decisions and outcomes.
Helps define testing processes for inherently non-deterministic agent behavior and keeps tests current.
Handles ambiguity well; makes reasoned tradeoffs on abstraction level, latency versus accuracy, and autonomy versus human-in-the-loop.
Approaches work with a security lens, particularly around agent write-access into customer-facing systems.
Independently scopes flexible technical solutions and breaks down specs into stories.
6+ years in software engineering, ideally with some customer-facing or support-adjacent exposure
Experience building or integrating agentic/LLM systems — context feeding, prompt engineering, tool invocation, stateful agents
Nice to Have
Prior experience in a forward-deployed, field engineering, or support engineering role
Experience with event-driven architecture and stream processing (Kafka, PubSub, or similar)
Familiarity with observability tooling for agent/LLM systems
How You Work
You take ownership of outcomes, not just deliverables
You bring back what you learn from Support/CS and use it to make the agents — and the roadmap — better
You move fast, iterate in the open, and don't wait for perfect conditions
You can translate technical complexity to both engineers and support operators without losing either audience
In-office Commitment: This position requires a commitment to contribute to our collaborative culture by working in-office Three days weekly.
Diversity & Inclusion
At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also 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.
We’re building a company that every one of us at project44 is proud to work for, and our