Senior Full Stack Engineer - AI

Prosum; United States; Hybrid; USD 135,000 - 163,000; Full time

Job summary

Prosum is seeking a Senior Full Stack Engineer – AI to join our growing AI-focused engineering team. You will own end-to-end features, contribute to architecture, and drive engineering best practices across the stack, with emphasis on AI-powered applications.

You will integrate large language models, design agentic interfaces, and establish patterns for secure, scalable enterprise software. Hybrid work with onsite requirements in Tempe, AZ or Burbank, CA.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 6–10+ years of professional software engineering experience.
• Strong Python and FastAPI production experience.
• Strong React.js and TypeScript expertise.
• Experience with RESTful APIs and microservices architectures.
• CI/CD with GitHub Actions, Jenkins, or Azure DevOps.
• Containerization with Docker and Kubernetes familiarity.
• Exposure to AWS/Azure cloud deployment patterns.
• Experience integrating LLM APIs in production.

Responsibilities

• Design, build, and maintain scalable full stack applications with Python, FastAPI, React.js, and TypeScript.
• Own domain architecture including API design, data modeling, and frontend strategy.
• Develop RESTful APIs and event-driven microservices with reliability and security.
• Implement CI/CD pipelines and establish deployment standards.
• Improve performance across backend, frontend, and databases.
• Integrate LLM services (OpenAI/Anthropic) and AI features in prod apps.
• Lead architectural discussions and code reviews; mentor engineers.
• Collaborate with PM, UX, DevOps, QA/QE to deliver production-ready solutions.

Skills

Python

FastAPI

React.js

TypeScript

RESTful APIs

CI/CD

Docker

Kubernetes

GitHub Actions

JWT/OAuth2

LangChain

OpenAI / Anthropic

Education

Bachelor's degree in Computer Science, Engineering, or related field

Equivalent professional experience

Tools

PostgreSQL

MySQL

MongoDB

LangChain

LangGraph

Job description

Location: Hybrid – Tempe, AZ or Burbank, CA

Work Arrangement: Hybrid, with onsite requirements varying by location

Salary Range: $135,000–$163,000

Position Overview

Our client is seeking a Senior Full Stack Engineer – AI to join a growing AI-focused engineering organization. This role will be instrumental in developing the next generation of intelligent software applications and business systems.

The Senior Full Stack Engineer will take end-to-end ownership of complex features and technical domains, contribute to architecture and design decisions, and help establish engineering best practices across the team. This position requires a highly autonomous engineer who can work across the full technology stack while also contributing to the development of AI-powered and agentic applications.

The ideal candidate combines strong full stack development expertise with hands-on experience integrating large language models and AI technologies into production applications.

Key Responsibilities

Full Stack Engineering

• Design, build, and maintain scalable full stack applications using Python, FastAPI, React.js, and TypeScript.
• Own the architecture of one or more product domains, including API design, data modeling, and frontend component strategy.
• Build RESTful APIs and event-driven microservices with an emphasis on reliability, observability, scalability, and security.
• Implement and maintain CI/CD pipelines and establish deployment standards and release quality gates.
• Optimize application performance across the technology stack, including backend throughput, frontend rendering, and database query efficiency.
• Develop solutions that are scalable, maintainable, secure, and production-ready.

AI & Agentic Application Development

• Integrate large language model (LLM) services, including platforms such as OpenAI and Anthropic, into production applications.
• Use AI orchestration frameworks such as LangChain, LangGraph, or comparable technologies.
• Contribute to the design and development of agentic user experiences, including conversational, workflow-driven, and context-aware interfaces.
• Implement and extend tooling that enables AI agents to securely interact with application data and business functionality.
• Apply prompt engineering techniques and participate in AI evaluation processes to improve the reliability and quality of AI-powered features.
• Help establish engineering patterns and best practices for incorporating AI capabilities into enterprise applications.

Technical Leadership & Collaboration

• Lead architecture discussions and document significant technical decisions through Architecture Decision Records (ADRs).
• Participate in architecture reviews and contribute to technical standards across the engineering organization.
• Conduct thoughtful code reviews that improve code quality and engineering practices.
• Mentor mid-level and junior engineers through pair programming, design sessions, technical guidance, and knowledge sharing.
• Collaborate with Product Management, UX, DevOps/SRE, QA/QE, and other cross-functional teams to deliver production-ready solutions.
• Participate in Agile ceremonies, including sprint planning, backlog refinement, and release planning.
• Create and maintain clear technical documentation, runbooks, and onboarding materials.
• Write comprehensive unit, integration, and end-to-end tests.
• Maintain strong test coverage and engineering quality standards.
• Identify and proactively address technical debt.
• Lead or contribute to refactoring initiatives with consideration for business value and technical impact.
• Uphold engineering quality gates covering linting, static analysis, security scanning, performance, and reliability.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.
• 6–10+ years of professional software engineering experience with demonstrated growth in scope, ownership, and technical impact.
• Strong proficiency in Python and hands-on production experience with FastAPI or a comparable asynchronous web framework.
• Strong expertise in React.js and TypeScript.
• Experience with modern frontend state management approaches such as Redux, Zustand, or Context API.
• Demonstrated experience designing and consuming RESTful APIs and working with microservices architectures.
• Strong understanding of relational databases such as PostgreSQL or MySQL.
• Experience with NoSQL databases such as MongoDB and familiarity with ORMs.
• Experience with CI/CD technologies such as GitHub Actions, Jenkins, or Azure DevOps.
• Experience with containerization technologies, including Docker and familiarity with Kubernetes.
• Exposure to AWS or Azure cloud-native deployment patterns.
• Demonstrated experience integrating LLM APIs or developing AI-powered product features.
• Experience implementing JWT/OAuth2 authentication and API security best practices.

Preferred Qualifications

• Experience with LangChain, LangGraph, or comparable AI orchestration frameworks.
• Familiarity with vector databases and semantic search technologies such as pgvector, Pinecone, or Weaviate.
• Experience with real-time communication patterns, including WebSockets, Server-Sent Events (SSE), and streaming APIs.
• Experience developing agentic applications or AI-enabled workflows.Experience in entertainment, media, payroll, fintech, or other complex enterprise software environments.
• Familiarity with Agile Release Train (ART) planning or SAFe methodologies.
• Experience working in highly regulated, security-conscious, or enterprise-scale environments.

Additional Requirements

• Ability to work in a hybrid environment with regular onsite collaboration.
• Availability to participate in on-call support as needed for production incidents and scheduled releases.
• Ability to participate in occasional early-morning or evening meetings to collaborate with distributed teams.
• Ability to work for extended periods at a computer workstation and perform standard computer-related tasks.