Position Details

Type Full-Time

Experience lead

Exp. Years 15+ years

Education Masters/PhD in Computer Science, AI, Data Science or related field

Category AI & Machine Learning

About this role

Lead architecture and development of AI/ML-enabled, agentic systems to transform GTM and CX. Build, fine-tune and deploy LLM-powered agents; mentor data scientists; ensure production readiness with safety and observability.

Key Responsibilities

['Lead design and implementation of ML/LLM-powered agents with multi-step execution and human collaboration', 'Drive end-to-end solution development from prototype to production ensuring scalability, reliability, safety, observability, and performance', 'Build, fine-tune, or adapt LLMs and agent models; work on multimodal models', 'Mentor and guide data scientists and engineers; communicate decisions to executives', 'Partner with data engineering to design high-quality datasets and synthetic data pipelines for continual learning']

Technical Overview

Stack includes Python/Go/Java; LangChain/LangGraph; cloud platforms AWS/Amazon Web Services, Microsoft Azure, Google Cloud Platform; Kubernetes; Docker; distributed systems; knowledge graphs; retrieval systems; production ML pipelines; agent-based systems.

Ideal Candidate

The ideal candidate is a senior-level AI software engineer with 15+ years of experience in large-scale AI/ML systems, expert in building LLM-powered agents and agentic workflows. They should be proficient with LangChain and LangGraph, and have deep experience across cloud platforms (AWS, Azure, Google Cloud Platform) and distributed systems, with strong Python/Go/Java skills.

Must-Have Skills

LangChainLangGraphPythonGoJavaSQLAWSAmazon Web ServicesMicrosoft AzureGoogle Cloud PlatformKubernetesDockerDistributed Systems

Tools & Platforms

LangChainLangGraphKubernetesDockerAmazon Web ServicesMicrosoft AzureGoogle Cloud Platform

Required Skills

LangChainLangGraphLangChainPythonGoJavaSQLAWSAmazon Web ServicesMicrosoft AzureGoogle Cloud PlatformKubernetesDockerMicroservicesDistributed Systems

Hard Skills

PythonGoJavaSQLLangChainLangGraphLLMLarge Language ModelGenAIconversational agentsmulti-agentknowledge graphsretrieval systemsproduction MLAWSAmazon Web ServicesMicrosoft AzureAzureGoogle Cloud PlatformGCPKubernetesDockerMicroservicesDistributed Systems

Soft Skills

leadershipstrategic thinkingcollaborationcommunicationmentoringinfluencingproblem-solvingtime managementstakeholder managementpresentation

Industry & Role

Industry Cybersecurity

Job Function Architect and deliver scalable AI-enabled agentic systems for GTM/CX to transform sales and customer experience

Role Subtype AI Software Engineer

Tech Domains Amazon Web Services, Google Cloud Platform, Microsoft Azure, Kubernetes, Docker, SQL / PostgreSQL, Python, Go, Java, LangChain

Keywords for Your Resume

principal ai software engineeraimachine learningllmlangchainlanggraphconversational agentsmulti-agentknowledge graphsretrieval systemsproduction mlpythongojavasqlawsamazon web servicesmicrosoft azuregoogle cloud platformkubernetesdockermicroservicesdistributed systemsPrincipal AI Software EngineerAIMachine LearningLangChainLangGraphAWSMicrosoft Azure

Deal Breakers

15+ years of data science/software engineering experience, Must have architected production ML / LLM-powered systems, Must have LangChain/LangGraph experience, On-site in Headquarters, CA

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