Full Stack Engineer

Job Title

Associate Director, Full-stack Forward Deployed Engineer (Agentic AI Lab)

What We Are Looking For

Seeking a senior Full-stack Forward Deployed Engineer to build, deploy, and scale production AI applications for enterprise clients. This individual will work directly with customers to design and implement AI-powered solutions using agentic frameworks, RAG architectures, and modern cloud-native technologies.

Required Qualifications

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• 10+ years of software engineering, platform engineering, solutions architecture, or technical consulting experience
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• Hands-on experience building and deploying production AI applications in enterprise environments
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• Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions
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• Experience with one or more agentic AI frameworks, including LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or LlamaIndex
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• Strong proficiency in Python
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• Proficiency in TypeScript or JavaScript
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• Experience developing modern front-end applications using React, Next.js, Angular, or Vue
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• Experience building APIs and microservices using FastAPI, Flask, Node.js, or Express
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• Experience working with vector databases such as Pinecone, Qdrant, Weaviate, Chroma, Milvus, or pgvector
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• Experience deploying solutions using Docker and Kubernetes
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• Experience with AWS, Azure, or GCP
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• Experience integrating LLMs, AI agents, and enterprise data sources
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• Demonstrated experience building and scaling solutions from prototype through production
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• Experience working directly with enterprise customers, business stakeholders, and technical leadership
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• Ability to travel as required for client engagements
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• U.S. Citizen or Green Card Holder
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• No sponsorship now or in the future
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Preferred Qualifications

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• Forward Deployed Engineer (FDE) experience
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• Solutions Architect experience
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• AI Platform Engineer experience
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• Technical consulting or customer-facing delivery experience
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• Multi-agent system design and implementation
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• LLM orchestration and AI workflow automation
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• MLOps, LLMOps, and production AI deployments
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• Enterprise modernization and cloud transformation experience
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• Experience leading technical architecture decisions
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• Experience mentoring engineers and leading project delivery teams
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