Staff AI Engineer

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity We are seeking an experienced Staff AI Engineer to join our AI and Data Platform team, where you'll play a pivotal role in building and scaling our next-generation AI workforce platform. You'll work on cutting-edge agent-based systems that are transforming supply chain operations for Fortune 500 companies, delivering real business value through intelligent automation. What you'll be doing: Technical Leadership: Design and implement production-scale AI agent systems and orchestration frameworks (LangGraph, LangChain, similar architectures) Lead architecture for multi-agent systems handling complex business workflows Optimize deployment strategies using both LLMs and SLMs based on use case requirements Build natural language-configurable business process automation frameworks Implement multi-modal AI systems for document understanding (tables, charts, layouts) AI/ML Implementation Optimization Deploy and optimize LLMs/SLMs in production with fine-tuning techniques (LoRA, QLoRA, DPO) Implement quantization strategies (INT8, INT4) and model distillation for edge deployment Build evaluation frameworks including LLM-as-judge systems and regression testing Design streaming architectures for real-time LLM responses (SSE, WebSockets) Create semantic caching and embedding-based retrieval systems Develop GraphRAG and long-context handling strategies (100k+ tokens) System Architecture Engineering Design scalable microservices with comprehensive observability (LangSmith, Arize, custom telemetry) Build secure multi-tenant systems with prompt injection prevention and output validation Implement cost optimization through intelligent model routing and fallback strategies Develop document processing pipelines with OCR and layout understanding Create event-driven architectures for real-time shipment tracking and exception handling Data Infrastructure Build data pipelines for training data curation, synthetic generation, and PII masking Implement RLHF/RLAIF feedback loops for continuous improvement Design experiment tracking and model registry systems (MLflow, DVC) Optimize inference costs through batch processing and spot instance utilization Establish model governance, audit trails, and compliance frameworks About the team: The AI team at FourKites builds the intelligence layer behind our next-generation AI workforce, powering autonomous agents used by Fortune 500 supply chains every day. We operate at the intersection of production-grade AI, distributed systems, and real-world logistics, focusing on scalability, reliability, and measurable business impact. The team values deep technical ownership, rapid experimentation, and thoughtful optimization—balancing model performance, cost, and latency while building systems that operate at massive scale. Who you are: Technical Skills 8+ years software engineering, 3+ years in production AI/ML systems Expertise in Python, PyTorch/JAX, and AI frameworks (LangChain, Transformers, PEFT) Experience with LLMs (GPT-4, Claude, Gemini) and SLMs (Phi, Llama, Mistral) Hands-on experience with: Fine-tuning techniques (LoRA, QLoRA, DPO, RLHF) Model optimization (quantization, distillation, pruning) Vector databases and RAG architectures Streaming systems and real-time processing Security measures (prompt injection prevention, jailbreak detection) Strong background in distributed systems, Kubernetes, and cloud platforms Domain Knowledge(nice to have) Experience with document intelligence and multi-modal AI systems Understanding of supply chain operations, EDI/API integrations Knowledge of ... (truncated, view full listing at source)