[Remote] Staff Software Engineer AI at FourKites

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Supply Chain, Technology, AIIndustries

Requirements

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)
Hands-on experience with model optimization (quantization, distillation, pruning)
Hands-on experience with vector databases and RAG architectures
Hands-on experience with streaming systems and real-time processing
Hands-on experience with security measures (prompt injection prevention, jailbreak detection)
Strong background in distributed systems, Kubernetes, and cloud platforms
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

Responsibilities

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)
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)
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
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

Skills

Key technologies and capabilities for this role

LangGraphLangChainLLMsSLMsLoRAQLoRADPOINT8INT4GraphRAGLangSmithArizeOCRmicroservicesevent-driven architecturessemantic cachingembedding retrieval

Questions & Answers

Common questions about this position

What technical skills are required for the Staff Software Engineer AI role?

Candidates need 8+ years of software engineering experience with 3+ years in production AI/ML systems, expertise in Python, PyTorch/JAX, and AI frameworks like LangChain and Transformers, experience with LLMs and SLMs, fine-tuning techniques such as LoRA and QLoRA, model optimization, vector databases, RAG architectures, streaming systems, security measures, and a strong background in distributed systems, Kubernetes, and cloud platforms.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Staff Software Engineer AI role remote or does it require office work?

This information is not specified in the job description.

What does the team environment look like at FourKites for this role?

You'll join the AI and Data Platform team, working on cutting-edge agent-based systems that transform supply chain operations for Fortune 500 companies, with a focus on technical leadership and delivering real business value through intelligent automation.

What makes a strong candidate for the Staff AI Engineer position?

A strong candidate has 8+ years of software engineering experience including 3+ years in production AI/ML systems, hands-on expertise with Python, PyTorch/JAX, LLMs/SLMs, fine-tuning, model optimization, RAG, streaming systems, security, and distributed systems; domain knowledge in document intelligence and multi-modal AI is a nice to have.

FourKites

Real-time supply chain visibility platform

About FourKites

FourKites provides a platform for supply chain management that focuses on real-time visibility and predictive analytics. The platform collects data from millions of shipments worldwide and uses AI technology to analyze this data, offering businesses insights to improve their supply chain operations. This helps companies manage risks, enhance responsiveness, and optimize their processes. FourKites connects all parts of a supply chain through its applications, ensuring that teams have access to the same information. A unique feature of their platform is Fin AI, which uses natural language processing to help businesses find optimization opportunities and automate tasks. Unlike its competitors, FourKites stands out by combining a vast real-time supply chain network with specialized applications and patented AI technology. The goal of FourKites is to help large brands manage their supply chains more effectively and efficiently.

Chicago, IllinoisHeadquarters

2014Year Founded

$205.8MTotal Funding

LATE_VCCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Medical, dental, & vision

PTO

401k with company match

Annual wellness stipend

Ongoing learning & development opportunities

Risks

Emergence of competitors like Auger with significant funding challenges FourKites' market share.

Overhaul's $55 million funding round intensifies competition in supply chain visibility.

Rapid market growth may attract more entrants, increasing competition for FourKites.

Differentiation

FourKites tracks 3 million shipments daily across multiple transportation modes.

The platform integrates real-time data with machine learning for end-to-end supply chain visibility.

FourKites' YardWorks suite optimizes gate and yard logistics with AI and computer vision.

Upsides

FourKites is recognized as a leader in Gartner's Magic Quadrant for four consecutive years.

The company collaborates with major brands like Organik Kimya and Clariant to enhance efficiency.

Growing demand for AI-powered supply chain tools boosts FourKites' market potential.

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