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Project44 is seeking a Prompt Engineer to join its AIA Operations team in Bengaluru. This is a senior individual contributor role focused on designing, building, and managing AI agents that power project44's supply chain operations platform.
You will act as both an AI workflow architect and operational strategist, working closely with Product, Engineering, AI, and Operations leaders to shape AI agents' performance, define engineering standards, and scale operational frameworks globally.
Key responsibilities include:
**AI Workflow Development & Prompt Engineering:**
Design and build AI agent workflows that automate carrier monitoring, performance tracking, exception management, and escalation processes. Create custom, customer-specific workflows tailored to individual carrier, lane, or account requirements. Write, test, iterate, and optimize prompts for large language models, ensuring accuracy and operational efficiency. Run structured tests to evaluate prompt performance and document outcomes. Track prompt versions and maintain clear records of changes and design decisions. Identify where LLM outputs fall short and systematically diagnose and resolve issues through prompt refinement. Work closely with engineers through handover and deployment, ensuring workflows behave as intended at go-live. Ramp up new use cases post-launch, surface edge cases, and refine prompts accordingly. Monitor agent performance continuously, identifying drift or degradation and re-iterating to maintain accuracy. Maintain and support existing production workflows throughout their lifecycle. Evaluate new AI tools and platforms, providing structured recommendations on adoption.
**Operational Governance:**
Increase AI Agent build velocity by escalating process pain points and driving improvements. Identify opportunities to expand automation coverage and bring forward structured proposals for new AI capabilities. Support continuous improvement across the full AI Agent build lifecycle.
**Cross-Functional Collaboration:**
Read and interpret Product Requirements Documents, transforming them into clear AI agent requirements. Work with Product Managers throughout the full agent build lifecycle. Collaborate closely with engineers who build connectors that deploy AI agents. Collaborate with external vendors to reduce friction and influence feature releases.
**Customer Collaboration:**
Partner directly with customers to understand operational goals and translate them into tailored AI agent workflows. Work post-launch to review agent performance, gather feedback, and drive iterative improvements. Serve as a subject-matter point of contact for customers on agent behavior, troubleshooting, and enhancement requests.
**Team Enablement:**
Contribute to training resources, internal knowledge bases, and team documentation. Champion a culture of disciplined experimentation, continuous learning, and rigorous quality standards.
Project44's Decision Intelligence Platform, Movement, transforms fragmented logistics data into real-time, AI-powered insights. The company is headquartered in Chicago with a second HQ in Bengaluru, serving global supply chain leaders.
**Requirements:**
- 3-4+ years in transportation operations, logistics technology, carrier management, or network operations; global or multi-region experience preferred
- Hands-on experience working with AI tools, automation platforms, or workflow-based technologies in an operational context
- Troubleshooting experience across EDI, API, data pipelines, system configuration, and workflow orchestration
- Strong analytical skills — comfortable using data, monitoring dashboards, and structured observation to diagnose problems and measure outcomes
- Demonstrated ability to work collaboratively across Product, Engineering, AI, and Operations stakeholders
- Excellent written and verbal communication skills; able to read and interpret product requirements and translate them into clear, structured specifications for AI workflows
- Genuine curiosity about how LLMs work and a methodical approach to testing and refining prompts
- Ability to write clear, structured prompts and instructions that direct AI behavior accurately and consistently
- Familiarity with core prompting techniques such as step-by-step instructions, few-shot examples, and breaking complex tasks into stages
- Comfort working in AI tools and platforms to build, test, and iterate on workflows without needing to write code
- Ability to critically evaluate LLM outputs — spotting errors, inconsistencies, and failure modes — and translate observations into targeted prompt improvements
- Understanding of LLM behavior and limitations — including hallucination, misinterpretation, and inconsistent outputs — and how to design prompts that account for these tendencies
