Full Time - Full Stack Software Engineer - AI Platform

Amtex Systems Inc
Chicago, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 220K

Job location

Chicago, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Program Optimization
Relational Databases
Software Debugging
Graph Database
Python
PostgreSQL
Neo4j
Next.js
Software Engineering
Data Processing
Google Cloud Platform
Cloud Platform System
React
Delivery Pipeline
Large Language Models
Multi-Agent Systems
Backend
SC Clearance
Amazon Web Services (AWS)
Containerization
AI Platforms
Data Analytics
Data Management
Docker

Job description

We are looking for a seasoned Full Stack Engineer to contribute to the development of a next-generation AI platform powering advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge generative AI technologies within a highly collaborative and fast-paced engineering environment. You will partner with a diverse group of engineers, data specialists, and product stakeholders to design and deliver scalable platform capabilities. A key focus of this position is adapting and extending platform functionality for government and defense-oriented applications., Design, develop, and maintain full-stack applications using Python, React, and Next.js Build and integrate APIs and agent-based systems, including AI-driven and LLM-powered workflows Leverage large language models (LLMs) for data processing, retrieval, and intelligent synthesis Collaborate with cross-functional teams including engineers, data scientists, and product leaders Implement robust testing, debugging, and code optimization practices Contribute to the development of confidence scoring and validation pipelines for AI outputs Develop and maintain CI/CD pipelines to support efficient software delivery Work with knowledge graphs (Neo4j) and relational databases such as PostgreSQL or cloud-managed equivalents Deploy and manage applications across cloud environments (AWS preferred; Azure and GCP are a plus) Utilize containerization technologies to support scalable and portable deployments Stay current with advancements in generative AI and agentic architectures, applying best practices to platform development, Role Overview As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with…

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Requirements

Experience supporting defense or government environments, including handling classified data Active Secret clearance required (Top Secret or higher preferred) 7+ years of professional experience in software engineering Prior experience working on enterprise-scale platforms is preferred Technical Skills & Expertise Strong proficiency in Python for backend development Hands-on experience building full-stack applications using React and Next.js Experience with AI agents / agentic systems and LLM-based application design Familiarity with knowledge graphs (Neo4j) and relational databases (PostgreSQL or cloud equivalents such as Amazon RDS) Experience designing and managing CI/CD pipelines Understanding of confidence scoring mechanisms and validation pipelines in AI systems Experience working with cloud platforms (AWS, Azure, GCP) Knowledge of containerization technologies (e.g., Docker) Strong problem-solving skills and ability to work effectively in a collaborative, cross-functional environment

Benefits & conditions

A high-performance engineering culture with strong mentorship and growth opportunities Continuous learning through structured programs and real-world technical challenges The opportunity to influence product direction and contribute innovative solutions Collaboration with globally distributed, highly skilled teams Competitive compensation and a comprehensive benefits package

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