play a critical role in designing, building, and scaling AI-driven, agentic applications
work on intelligent chatbots, agentic workflows, and automation platforms
design and deploy scalable, production-grade systems using Python/Java
contribute to reusable foundational code, architectural diagrams, and guide decisions around product and tool selection
serve as a core member of a balanced team, mentoring junior engineers

Requirements

5-8 years of relevant work experience
deep understanding of warehousing and logistics
strong understanding of LLMs, multimodal models, and transformer architectures
experience with fine-tuning/adapting models (LoRA, RAG, prompt optimization, RLHF basics)
ability to design and implement agentic architectures (single- and multi-agent systems)
hands-on experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, Swarm)
skill in defining agent roles, capabilities, tools, and memory patterns
experience building autonomous workflows: task decomposition, planning, and self-correction loops
strong prompt engineering skills (system prompts, dynamic context building, tool-calling protocols)
knowledge of grounding strategies to reduce hallucinations and enforce business rules
proficiency in Python and common AI/ML libraries (PyTorch, TensorFlow, OpenAI/Anthropic SDKs)
experience building and consuming APIs and microservices for agent tool use
familiarity with event-driven and asynchronous programming patterns
experience with RAG pipelines (embeddings, vector stores, retrieval optimization)
knowledge of data engineering fundamentals (ETL, data quality, schema design for knowledge bases)
deep experience with cloud platforms (Azure, AWS, GCP) for AI workloads
proficiency in cloud-native deployment architectures (Kubernetes, service meshes, managed inference endpoints)
experience defining and running evaluations for agents (task success, reliability, safety metrics)
understanding of security, privacy, and responsible AI principles (PII handling, access controls, auditability)
strong debugging and troubleshooting skills for complex, tool-using agent workflows
ability to collaborate with product, data, and engineering teams to translate business needs into agentic solutions
clear communication skills for documenting agent designs, assumptions, limitations, and guardrails

Benefits

health care benefits
401K
ESPP
paid time off
success sharing bonus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

PythonJavaLLMsmultimodal modelstransformer architecturesfine-tuningprompt engineeringcloud-native deployment architecturesdata engineering fundamentalsevent-driven programming

Soft skills

mentoringcollaborationclear communicationdebuggingtroubleshooting