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Lead AI Engineer builds and deploys agentic AI systems for go-to-market workflows using Salesforce, Slack, and LLM frameworks like LangChain, driving automation and efficiency in cybersecurity sales operations.
Principal Data Engineer builds and scales AI/LLM data infrastructure for CrowdStrike’s cybersecurity platform, designing pipelines and agentic workflows to power next-gen security features at Exabyte scale.
Build and deploy GenAI applications using Python, LLM frameworks, and vector databases, then optimize and integrate them into cloud-based microservices.
Build and deploy scalable AI/ML systems, including LLM-powered RAG pipelines and agentic workflows, from experimentation to production while optimizing for performance and cost.
Build and deploy AI-powered CRM solutions for enterprise clients using Salesforce’s Agentforce platform, integrating LLMs and data pipelines while leading end-to-end technical delivery.
Build and deploy secure, scalable Java/Spring Boot microservices on AWS that power autonomy and AI features for heavy equipment, using real-world machine data to improve jobsite performance.
Lead backend engineering for autonomy services at Caterpillar, designing scalable Java/Spring Boot microservices on AWS and guiding AI-assisted development workflows.
Designs and deploys cloud-native backend services (Java/Spring Boot) for Caterpillar’s autonomy platform, integrating AI agents, microservices, and AWS to improve heavy machinery intelligence and scalability.
Lead architecture and development of backend microservices and APIs for autonomy services, integrating AI models, digital twins, and cloud-native platforms to power Caterpillar’s connected machines.
Leads cloud-native architecture and AI-driven integration for Caterpillar’s digital twin and simulation platforms, designing scalable microservices, APIs, and AI-agent workflows to connect industrial assets and improve real-world fleet performance.
Build and scale the AI infrastructure that powers CrowdStrike’s LLM-driven security products, including GPU clusters, model-serving pipelines, and MLOps tooling.
Build and maintain scalable data pipelines, storage, and tooling for real-time and batch workloads using Kafka, Spark, and Snowflake, while automating operations with AI agents.
Lead co-design of production agentic AI systems with enterprise partners, building RAG, multi-agent, and LLM workflows on NVIDIA’s stack (NeMo, TensorRT-LLM) and shaping product roadmaps.
Staff Software Engineer specializing in AI-driven software development, focusing on integrating generative AI tools (e.g., LLMs, RAG) to automate coding, debug systems, and enhance platform reliability for a fintech bank.
Lead the design, build, and configuration of AI-driven applications using Microsoft Azure OpenAI Service and related Azure AI tools, while managing project timelines and cross-functional teams.
Build and ship full-stack software for a venture studio and investment platform, working directly with business stakeholders to solve real operational problems using modern web and AI tools.
Design and build enterprise-scale data pipelines and cloud architectures on AWS, Databricks, Snowflake, and PySpark, while enabling AI-ready data platforms and leading cross-functional teams.
Designs and builds AI-driven automation and data-integration systems that orchestrate connectors, manage data flows, and enable end-to-end AI use cases using Python, LangGraph, and cloud platforms.
Designs and maintains AI systems for a game studio, focusing on RAG platforms, AI-driven game content, and agent frameworks to enhance player immersion and game logic.
Designs and evaluates large language models (LLMs) and generative AI solutions, assessing technical feasibility, scalability, and integration risks for enterprise use cases.
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