Full Stack AI Software Engineer
Role Summary:
As a Mid-Level AI Engineer (Full Stack AI Software Engineer), you will design, build, and deploy end-to-end intelligent web applications and services. In this role, you will own the full feature loop: building intuitive user interfaces, developing scalable backend APIs, and integrating Generative AI capabilities—such as Large Language Model (LLM) APIs, retrieval-augmented generation (RAG) pipelines, and autonomous AI agent workflows. Working with product managers, designers, and fellow engineers, you will transform product roadmaps and customer workflows into reliable, secure, AI-powered applications.
What You’ll DoEnd-to-End AI Feature Delivery: Build, ship, and maintain AI-powered features across the entire stack, connecting modern browser interfaces, backend services, and AI runtimes.
Modern Frontend Engineering: Develop responsive, accessible web interfaces (React, Next.js, or TypeScript) featuring real-time capabilities such as streaming LLM responses, chat components, and interactive data visualizations.
Backend & Agent Integrations: Build robust backend services and microservices that orchestrate LLM workflows, function/tool-calling protocols (e.g., Model Context Protocol / MCP), and agentic pipelines using Python or TypeScript.
RAG & Data Pipelines: Implement and maintain retrieval systems, vector store embeddings, document processing workflows, and standard relational database schemas (SQL/PostgreSQL).Security & Guardrails: Implement enterprise-grade authentication and authorization (OAuth 2.0, JWT, RBAC), safe API boundaries, rate-limiting, and runtime guardrails to prevent prompt injections and data leaks.
AI Evaluation & Quality: Write automated unit and integration tests while setting up evaluation pipelines to measure LLM output accuracy, latency, token usage, and regression metrics.
Performance & Observability: Monitor full-stack application health, implement structured logging and telemetry, and optimize API and inference latency.
What You’ll Bring
Experience:
3–6 years of hands-on software development experience building production full-stack web applications and backend APIs.
Frontend Skills: Proficiency in TypeScript, HTML5/CSS3, and modern frontend frameworks (React, Next.js, or equivalent) with experience handling asynchronous states and streaming data.
Backend Skills: Strong production experience writing typed, asynchronous backend services using Python (FastAPI, Pydantic, asyncio) and/or Node.js / TypeScript.
Applied AI & LLMs: Practical experience integrating LLM APIs (OpenAI, Anthropic Claude, or cloud providers) into user-facing software using prompt engineering, structured tool/function calling, or agent frameworks (e.g., LangChain, LangGraph, LlamaIndex, MCP).Databases & Data Modeling: Solid proficiency with relational databases (PostgreSQL, MySQL), SQL query design, and working knowledge of vector databases (pgvector, Pinecone, Qdrant) or caching layers (Redis).Security & Auth: Practical understanding of web application security, REST/GraphQL standards, OAuth 2.0 workflows, and secure token lifecycle management.
Engineering Best Practices: Track record of writing clean, testable code, participating in peer code reviews, and using Git with automated CI/CD workflows.
Preferred Qualifications:
Hands-on experience implementing or hosting Model Context Protocol (MCP) servers and clients.
Production experience with cloud ecosystems (AWS, GCP, or Azure) including serverless functions, container orchestration (Docker, ECS/Kubernetes), and secrets management.
Experience deploying on edge runtimes (e.g., Cloudflare Workers, Vercel Edge).Familiarity with LLM evaluation frameworks (e.g., Ragas, Braintrust, promptfoo) integrated into CI/CD pipelines.
Background in high-growth startups, SaaS platforms, or fast-paced technical consulting environments.
Perks & Benefits:
Time Off & Leave: Unlimited PTO and generous parental leave policies.
Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support.
Financial Growth: Annual performance bonus program, Employee Stock Purchase Plan (ESPP), and retirement options.
Culture & Mentorship: Fast-moving, collaborative environment with direct access to technical leaders, architectural reviews, and continuous learning opportunities.
Equal Opportunity Employer:
We are an equal opportunity employer committed to creating an inclusive, diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Salary Range (Annual Base Salary, USD):Onsite / Hybrid (California, Texas, New Jersey, New York, or Arizona): $135,000 - $150,000 per year Remote (USA): $120,000 - $135,000 per year Ranges shown are annual base salary and exclude bonus and benefits. Final offers depend on skills, experience, and work location.