AI Engineer I at FourKites, Inc. in Chicago, IL

Summary: FourKites, Inc. is a leader in AI-driven supply chain transformation, providing real-time visibility and automation for global enterprises. They are seeking an AI Engineer I to join their team and contribute to building and scaling their next-generation AI workforce platform, focusing on intelligent automation and agent-based systems for supply chain operations. Responsibilities: - 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) - 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) - 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 - Building specialized AI agents solving supply chain problems - Fine-tuning domain-specific models for supply chain terminology - Implementing hybrid architectures combining cloud LLMs with edge SLMs - Creating secure document intelligence systems for Fortune 500 clients - Developing real-time exception handling for shipment tracking - Building observability and evaluation frameworks for agent performance - Designing fallback strategies and multi-provider redundancy - Working with Customer facing teams to understand customer requirements and tuning AI solutions and providing support for customer queries Required Qualifications: - 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 - Good communication for technical and non-technical audiences 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 OCR pipelines and document extraction at scale - Exposure to specialized tools (vLLM, TGI, Triton, ONNX, TensorRT) is a bonus - Data-driven decision making for model selection and cost optimization - 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) - Background in distributed systems, Kubernetes, and cloud platforms Required Skills: Python, PyTorch, JAX, LangChain, Transformers, PEFT, LLMs, SLMs, Fine-tuning techniques, Vector databases, RAG architectures, Streaming systems, Real-time processing, Prompt injection prevention, Model quantization, Model distillation, Distributed systems, Kubernetes, Cloud platforms Benefits: Medical, Dental & Vision benefits starting on first day of employment, 401k Retirement savings with employer match, Bonus and incentive compensation as well as employee stock option program, Employer paid life insurance and short term disability insurance, Generous PTO, global recharge days, and volunteer days, Paid parental leave for all parents, Family planning and inclusive wellbeing resources, Technology reimbursement, Commuter benefits for in-office employees (Chicago), Annual Wellness Stipend, Ongoing learning & development opportunities