AI Engineer I

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 AI Engineer to join our AI 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 Implement production-scale AI agent systems and orchestration frameworks (LangGraph, LangChain, similar architectures) 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 Create semantic caching and embedding-based retrieval systems Develop GraphRAG and long-context handling strategies (100k+ tokens) System Architecture Engineering Develop 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 About the Team: Our AI team is a fast-paced, high-impact group focused on building production-grade AI systems that power intelligent automation for global supply chain operations. We work at the intersection of cutting-edge research and real-world deployment, solving complex problems at scale for Fortune 500 customers. The team is highly collaborative, with strong ownership and a bias for execution, where engineers have the opportunity to shape architecture, influence product direction, and drive measurable business impact. Technical Skills 1+ years software engineering, 1+ years in production AI/ML systems Expertise in Python, PyTorch/JAX, and AI frameworks (LangChain, Transformers, PEFT) Exposure to LLMs (GPT-4, Claude, Gemini) and SLMs (Phi, Llama, Mistral) Hands-on experience in any of the below: Fine-tuning techniques (LoRA, QLoRA, DPO, RLHF) Vector databases and RAG architectures Streaming systems and real-time processing (Bonus) Security measures (prompt injection prevention, jailbreak detection) (Bonus) Model optimization (quantization, distillation, pruning) (optional) Background in distributed systems, Kubernetes, and cloud platforms Professional Skills Good communication for technical and non-technical audiences (Bonus) Data-driven decision making for model selection and cost optimization Domain Knowledge (nice to have) Experience with document intelligence and multi-modal AI systems Understanding of supply chain operations, EDI/API integrations Knowledge of token economics and consumption-based pricing models Familiarity with enterprise compliance requirements (GDPR, CCPA, SOC2) Preferred Qualifications Knowledge of GraphRAG and knowledge graph integration Contributions to open-source AI projects (Hugging Face, Ollama) Experience reducing inference costs by 50%+ through optimization Familiarity with MoE architectures and constitutional AI approaches Exposure to ... (truncated, view full listing at source)