AI Engineer I

FourKitesChicago, IL

About The Position

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?

Requirements

  • 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
  • Security measures (prompt injection prevention, jailbreak detection)
  • Model optimization (quantization, distillation, pruning)
  • Background in distributed systems, Kubernetes, and cloud platforms
  • Good communication for technical and non-technical audiences
  • Data-driven decision making for model selection and cost optimization

Nice To Haves

  • 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)
  • 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.

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.

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
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