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Job Description

This Junior-to-Mid-Level role focuses on building and scaling AI systems within Abt’s backend ecosystem. You will develop AI agents and multi-step workflows using an in-house PHP agent framework, connecting large language model (LLM) capabilities to internal APIs, databases, and retrieval pipelines.

Onsite Location

Glenview, IL (onsite)

Compensation

USD 50 - 54 per hourly based on experience

Key Responsibilities

  • Build and refine AI agents and multi-step workflows using Abt’s in-house agent framework.
  • Develop clean PHP integrations that connect commercial LLM APIs (OpenAI, Anthropic, Google) to internal REST APIs and enterprise databases, including support for tool calling and structured outputs.
  • Assist with building and maintaining Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector search.
  • Create test scripts to evaluate agent outputs, benchmark token costs, and identify hallucinations and runaway loops.
  • Design, test, and version-control system prompts, function schemas, and tool definitions for both chat and batch processing.

Required Qualifications

  • 1–3 years of professional experience writing clean, readable, object-oriented PHP.
  • Strong understanding of RESTful APIs, JSON parsing, and serialization in backend environments.
  • Solid SQL experience with systems including Oracle, MySQL/MariaDB, and Postgres.
  • Proficiency with Git and collaborative code-review workflows.

Technologies

  • PHP, OpenAI, Anthropic, Google
  • REST APIs, JSON
  • SQL: Oracle, MySQL/MariaDB, Postgres
  • Git
  • RAG, embeddings, vector search

Benefits

  • Full Time starting pay: $50-54 based on experience
  • Yearly performance review
  • Potential for advancement
  • Performance-based bonuses throughout the year
  • Medical/Dental: Blue Cross and Blue Shield PPO Network
  • Vision: VSP
  • 401(k): Charles Schwab, includes a matching program
  • Life & Disability insurance: Lincoln Financial
  • Generous Paid Time Off/Sick Pay Program
  • Continued training & career development
  • Employee discounts on all products the company sells

Preferred Qualifications

  • Hands-on experience with LLM APIs.
  • Experience working with legacy code in a large, established codebase.

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