Offer summary

Qualifications:

3+ years of experience building LLM agents or intelligent assistants using LangChain or OpenAI Assistants API., Strong Python development skills with experience in RAG pipeline architecture., Proficiency in document parsing from various sources like PDFs and spreadsheets., Familiarity with vector databases and embedding models is preferred..

Key responsibilities:

Design and build internal and external AI agents in collaboration with the Lead AI Architect.

Implement Retrieval-Augmented Generation (RAG) pipelines using various content sources.

Write clean and scalable Python code for orchestrating LLM-driven workflows.

Integrate OpenAI models using function calling without relying on external APIs.

Job description

This is a remote position.

Location: Remote

About Teams Squared

We are a team augmentation company dedicated to connecting exceptional remote talent with global organizations.

Job Description

We are looking for a skilled AI Agent Engineer to join one of our high-impact client teams. This role involves building intelligent assistants and LLM-driven applications for both internal and client-facing use cases. You’ll work directly with a Lead AI Architect to create scalable Retrieval-Augmented Generation (RAG) pipelines, craft modular workflows using OpenAI tools, and contribute to a cutting-edge AI product roadmap.

Key Responsibilities

Work closely with the Lead AI Architect to design and build multiple internal and external AI agents.
Implement Retrieval-Augmented Generation (RAG) pipelines using content from PDFs, Notion pages, and spreadsheets.
Write clean, scalable Python code to orchestrate LLM-driven workflows.
Integrate OpenAI models (e.g., GPT-4 / GPT-4o) using function calling, without relying on external APIs.
Optionally, build lightweight Streamlit applications or CLI tools for agent deployment and testing.

Requirements

3+ years of experience building LLM agents, copilots, or intelligent assistants using LangChain, LangFlow, or OpenAI Assistants API.
Strong Python development skills with demonstrated experience in RAG pipeline architecture.
Proficiency with document parsing from various sources (PDFs, Notion exports, spreadsheets).
Solid grasp of prompt engineering, function design, and managing LLM outputs.
Ability to work independently in a fast-paced, remote environment.
Familiarity with vector databases (e.g., FAISS, Chroma) and embedding models.
Front-end capabilities using tools like Streamlit are a plus.
Bonus: Experience with tools like Unstructured.io, python-docx, or observability platforms like LangSmith or Langfuse.

Benefits

Remote-first, flexible work environment
Competitive hourly compensation
Opportunity to work on high-impact, meaningful engagements

Contract Details:

This is a contract, full-time (40 hours/week) role for an initial term of 1–3 months, with a potential for longer-term extension based on performance and project growth.

At Teams Squared, we believe in fostering a positive and professional work environment where talented individuals can thrive.

Note: Only candidates who make it to our shortlist will be contacted for further discussions.

Teams Squared is a proud equal opportunity employer. We value diversity and are consistently committed to creating an inclusive environment for all team members.

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