Apply on Employer Site

Profitmind · 4 hours ago

AI Agentic Engineer

Pittsburgh, PA

Full-time

Onsite

Mid Level

3+ years exp

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. They are seeking a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents, focusing on backend and front-end integration, while ensuring the development of production-grade applications.

RetailSoftware

Responsibilities

Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK

Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor)

Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory

Design and maintain high-quality prompt strategies for robustness and reliability

Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution

Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows

Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane

Build unit and behavioral tests for agents, tools, and workflows

Develop tooling for trace analysis, agent state debugging, and hallucination tracking

Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability

Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines

Integrate, deploy, and monitor models in production using cloud providers

Set up agent logging, observability dashboards, and recovery workflows

Familiar with React, TypeScript, Next.js, or similar frameworks

Understanding of front-end and back-end integration for AI tools

Ability to build basic dashboards or agent interfaces

Integrate agents into interfaces

Speak the language of UI

Qualification

PythonLLM agent developmentFastAPIMLOpsPrompt engineeringPyTorchTensorFlowReactTypeScriptNext.jsDockerAgentic Coding IDEsAsync programmingWebsocketsStreaming APIs

Required

3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow

1+ years experience with LLM agent development, prompt engineering, and frameworks like LangGraph, PydanticAI, and Google ADK

Experience with fine-tuning LLMs

Familiarity using vector stores like ChromaDB, Weaviate, or pgvector

Production experience with FastAPI, Docker, and MLOps

Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)

Bachelor's or Master's degree in computer science

Preferred

Open-source contributions to LLM/agent tooling

Knowledge of async programming, websockets, and streaming APIs

Benefits

Comprehensive benefits including medical, dental, vision, etc.

Unlimited and flexible PTO

Company

Profitmind

Profitmind enables retailers to auto-identify competitors across the internet and track their assortments, and optimize prices in real time.

Founded in 2022

Palo Alto, California, USA

11-50 employees

https://www.profitmind.com/

Funding

Current Stage

Early Stage

Total Funding

$5M

Key Investors

Accenture VenturesAI Fund,Magarac Venture Partners

2026-01-08Series Unknown

2022-11-29Seed· $5M

Leadership Team

Mark Chrystal

Chief Executive Officer

Recent News

Crowdfund Insider

Accenture Prioritizes AI Adoption with Strategic Investments and Partnerships

2026-01-22

The Register

Accenture bets AI will ring up retail sales with Profitmind investment

2026-01-11

Business Wire

Accenture Invests in Profitmind to Drive Agentic AI Reinvention in Retail Sector

2026-01-09

Company data provided by crunchbase