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Alex Potts

@alexpotts

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Senior AI & full-stack engineer building agentic, RAG, and scalable cloud-native platforms.

United States

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What I'm looking for

I’m looking to lead production AI platform work—agentic AI, RAG, and scalable backend systems—working closely with product while shipping reliable, observable, low-latency cloud-native solutions and mentoring teams.

I’m a Senior AI & Full Stack Engineer with 9+ years of experience building distributed systems, cloud-native platforms, and production AI applications. I specialize in Agentic AI, Retrieval-Augmented Generation (RAG), LLM-powered applications, semantic search, workflow automation, and scalable backend architecture.

I’ve delivered enterprise AI platforms and high-throughput data pipelines across Luxoft, Kernels and Keys, Hex, and Amazon, leveraging Python and modern AI frameworks to create reliable, low-latency systems. I design evaluation, monitoring, and observability for AI, and I lead migrations into containerized microservices on Kubernetes while mentoring engineers on AI platform and cloud-native best practices.

Experience

Work history, roles, and key accomplishments

Current

Senior Full Stack AI Engineer

Current

Luxoft

May 2025 - Present (1 year 1 month)

Built an enterprise AI platform using LLMs, LangGraph, and retrieval pipelines to automate knowledge discovery and natural-language access across large enterprise repositories. Designed agentic RAG workflows, Kafka-backed data pipelines, and AI evaluation/monitoring, and migrated legacy systems to Kubernetes microservices to improve scalability and operational resilience.

Agentic AI LangGraph Retrieval Augmented Generation (RAG)fastAPI PostgreSQL Kubernetes Apache Kafka Vector Databases AI Evaluation

Python Backend Developer

Kernels And Keys

Mar 2023 - Apr 2025 (2 years 1 month)

Developed enterprise AI and workflow automation platforms using Python, FastAPI, React, and cloud-native microservices. Built RAG architectures with LangChain and LlamaIndex (Pinecone/pgvector), implemented document intelligence and search pipelines, and modernized systems with containerization and CI/CD.

Python fastAPI Lang Chain LlamaIndex Retrieval Augmented Generation (RAG)Pinecone Pgvector Kafka

Software Engineer

Hex

Jan 2019 - Mar 2023 (4 years 2 months)

Contributed to enterprise internal tools and customer-facing portals at Oracle using Python (Flask) and JavaScript (jQuery/React), modernizing legacy components into modular services. Built event-driven processing pipelines with AWS SQS/Lambda and RabbitMQ, improved deployment workflows with AWS CodePipeline/CodeDeploy, and strengthened reliability with pytest-based unit and integration tests.

Python jQuery RESTful APIs Microservices SQS AWS Lambda RabbitMQ Pytest

Software Engineer

Amazon

Jun 2017 - Jan 2019 (1 year 7 months)

Designed and built scalable distributed backend services and REST APIs in Java and Python for platforms processing millions of daily transactions. Improved performance through profiling and database tuning, implemented monitoring/alerting with CloudWatch, supported production via 24/7 on-call, and mentored junior engineers.

Java Python REST APIs Distributed Systems Performance Tuning Caching Strategies SQL Optimization