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Stephen L

@stephenl1

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Senior AI Engineer specializing in LLM/RAG, intelligent search, and cloud-native backend systems that scale reliably.

United States

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What I'm looking for

I want to keep building production-scale LLM/RAG systems for intelligent search and personalized experiences—especially hybrid retrieval, multi-agent orchestration, and low-latency backend services—where reliability, evaluation, and observability are core to how teams ship.

I’m a Senior AI Engineer with 8+ years of experience designing and deploying production-scale AI applications, intelligent search platforms, and cloud-native backend systems. I specialize in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, hybrid retrieval, multi-agent AI systems, and AI orchestration using LangChain, LangGraph, and Model Context Protocol (MCP).

At Mindtrip, I built and scaled an AI-powered travel booking platform that generates end-to-end itineraries from natural language using LLMs and multi-agent systems. I designed agentic workflows with LangGraph, developed backend orchestration services in Python and Node.js, and implemented RAG-based retrieval and hybrid search to improve result grounding.

Earlier, as an AI Engineer at Constructor, I built and scaled enterprise-grade AI search and recommendation systems for large-scale e-commerce product discovery. I developed retrieval, ranking, and orchestration layers for hybrid search (BM25 + vector-based retrieval), and delivered low-latency, high-throughput APIs with caching and performance optimization.

Before that, I worked as a Full Stack Engineer, building and maintaining web applications with Node.js/Python APIs, React frontends, and production deployments on AWS with CI/CD pipelines. I bring an end-to-end mindset—retrieval to ranking to orchestration—focused on building reliable, high-performance systems for search, recommendation, and personalized user experiences.

Experience

Work history, roles, and key accomplishments

Senior AI Engineer

Mindtrip, Inc

May 2024 - May 2026 (2 years)

Built and scaled an AI-powered travel booking platform that generates end-to-end itineraries from natural language using LLMs and multi-agent systems. Designed LangGraph-based agentic workflows, implemented RAG-based hybrid retrieval and ranking pipelines, and integrated intent detection with evaluation loops to improve response accuracy.

LLM LangGraph Retrieval Augmented Generation (RAG)Hybrid Search Ranking Systems Prompt Engineering Python Information Retrieval Evaluation Pipelines

AI Engineer

Constructor

Feb 2020 - Apr 2024 (4 years 2 months)

Built and scaled enterprise AI search and recommendation systems for e-commerce product discovery using hybrid retrieval and ranking. Implemented embedding-based search pipelines, transformer-based ranking, and multi-stage ranking approaches, and delivered low-latency, high-throughput APIs with caching and scalability optimizations.

AI Search Recommendation Systems Hybrid Search BM25 Embeddings Transformer Models Ranking Systems Learning To Rank REST APIs Caching Low Latency Systems

Full Stack Engineer

TechNova Systems

Sep 2017 - Dec 2019 (2 years 3 months)

Built and maintained full-stack web applications supporting search and recommendation features. Developed REST APIs and backend/data processing services with Node.js and Python, created responsive React frontends, and deployed systems on AWS with CI/CD using Jenkins and GitHub Actions.