Staff Software Engineer AI

About the Role 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. Key Responsibilities 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 Required Qualifications 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 token economics and consumption-based pricing models Familiarity with enterprise compliance requirements (GDPR, CCPA, SOC2) Professional Skills Track record of delivering complex projects with measurable business impact Experience with technical sales support, POCs, and customer success Strong communication for technical and non-technical audiences Data-driven decision making for model selection and cost optimization Preferred Qualifications Supply chain, logistics, or transportation management experience Experience with OCR pipelines and document extraction at scale 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 Background in building usage-based billing and margin optimization Experience with specialized tools (vLLM, TGI, Triton, ONNX, TensorRT) What You'll Work On 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 Technical Environment Models: GPT-4, Claude, Gemini, Llama 3, Mistral, Phi-3, custom fine-tuned models Fine-tuning: LoRA/QLoRA, PEFT, DeepSpeed, bitsandbytes, Axolotl Infrastructure: Kubernetes, AWS SageMaker/Bedrock, GPU clusters, edge devices Frameworks: LangChain, LangGraph, vLLM, FastAPI, Transformers Observability: LangSmith, Weights & Biases, custom telemetry Data: PostgreSQL, Redis, Vector DBs, Kafka, feature stores Impact & Growth You'll directly contribute to AI initiatives generating millions in revenue while shaping systems processing millions of transactions daily. Lead technical decisions affecting 25+ engineers while mentoring the next generation of AI engineers. Be at the forefront of production AI optimization, balancing performance, cost, and latency for enterprise customers.

Who we are:

FourKites®, the leader in AI-driven supply chain transformation for global enterprises and pioneer of advanced real-time visibility, turns supply chain data into automated action. FourKites’ Intelligent Control Tower™ breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks, and optimize performance across their supply chain. FourKites processes over 3.2 million supply chain events daily — from purchase orders to final delivery — helping 1,600+ global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration.

Working at FourKites

We provide competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe, including:

5 global recharge days, in addition to standard holidays, and a hybrid, flexible approach to work.

• Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others.
• Opportunities throughout the year to learn and celebrate diversity.
• Access to leading AI tools and foundation models, with the freedom to experiment and find creative ways to be more effective in your role
• And we're always listening for new ways to support everyone in and out of the office.