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Junior Developer - Python & Go

Job in Waltham, Middlesex County, Massachusetts, 02254, USA
Listing for: Buyers Edge Platform, LLC
Full Time position
Listed on 2026-07-02
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Python, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

We are seeking a motivated Junior Developer to contribute to scalable automation solutions and intelligent AI agents that streamline business processes across our organization. This is a growth-oriented role for someone who is building their skills in Python and Go (Golang), is eager to learn, and is excited about the intersection of data engineering, automation, and applied AI.

You will work closely with various teams, receiving mentorship and hands‑on experience integrating applications with our data infrastructure including Redshift, AWS services, and our Palantir AIP platform as we grow our automation and AI‑driven, agentic capabilities across the organization.

This is an excellent opportunity for a developer who is curious, coachable, and eager to grow with a team that is actively building toward an AI‑first future focused on employee productivity and operational automation.

Who we are:

Buyers Edge Platform is a leading digital procurement network and solutions provider for the food service industry, delivering savings, insights, and technology that help operators, distributors, and manufacturers succeed. Through its portfolio of solutions—including Digital Procurement Network, Fresh Services, Software Solutions, and Supply Chain Management—Buyers Edge is reshaping how the food service industry connects and thrives. At the heart of our work is a culture built on a passion for collaboration, technology, and helping food service business succeed.

We are unable to offer sponsorship for this role.

Your impact:
Development & Automation
  • Contribute to the development and maintenance of Python and Go‑based automation workflows that optimize business and data processes.
  • Build and support backend microservices and integrations using both Python and Go (Golang) under the guidance of senior engineers.
  • Develop APIs and services that enable cross‑system automation and AI interaction.
  • Create reusable code libraries, automation utilities, and internal tools to accelerate future development.
AI & Agentic Workflows
  • Contribute to the development of AI‑powered automations and agents — including within Palantir AIP — designed to help employees work more efficiently and reduce manual workflows.
  • Assist in building and iterating on LLM‑backed workflows using Palantir AIP Logic and AIP Chatbot Studio as part of the team’s agentic AI strategy.
  • Support the integration of LLM‑based tools and APIs (e.g., OpenAI API, Lang Chain) into internal workflows and applications.
Data Integration
  • Work with data and analytics teams to integrate Python and Go applications with Redshift, MySQL, and other data systems.
  • Support data pipeline development and assist in optimizing SQL queries and data workflows under senior guidance.
  • Implement unit tests, contribute to CI/CD pipelines, and follow version control best practices using Git Hub.
  • Collaborate with stakeholders to understand business problems and translate them into technical requirements with team support.
  • Participate in code reviews, team standups, and knowledge‑sharing sessions as an active and engaged contributor.
About you:
  • Bachelor’s degree in computer science, engineering, or related field or equivalent experience, bootcamp training, or demonstrable project work.
  • 0–2 years of hands‑on Python development experience, including personal projects, internships, or coursework focused on automation, APIs, or data workflows.
  • Basic familiarity with Go (Golang) or strong willingness to learn; experience with statically typed languages (e.g., Java, C#, Type Script) is a plus.
  • Working knowledge of SQL and comfort querying relational databases; exposure to cloud data warehouses (e.g., Redshift, Big Query, Snowflake) is a plus.
  • Exposure to deployment concepts such as Docker, CI/CD pipelines, or cloud functions (e.g., AWS Lambda); production experience is not required.
  • Familiarity with LLM concepts and tools (e.g., OpenAI API, Lang Chain); comfort learning and experimenting with enterprise AI platforms.
  • Eagerness to learn, receptiveness to mentorship, and strong communication skills with both technical and non‑technical teammates.
  • Excellent communication skills, with a proactive approach to sharing updates on…
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