Senior Agentic AI Software Engineer

Systems Technology Group, Inc. (STG); Dearborn (MI); On-site; USD 140,000 - 180,000; Full time

Job summary

Systems Technology Group, Inc. (STG) is seeking a Senior Agentic AI Software Engineer to design and deploy multi-agent AI systems on Google Cloud. You will work with the product team to integrate agent outputs into the Java/Spring Boot/Angular portal and ensure secure, scalable deployments.

The role emphasizes production-grade GenAI applications, advanced NLP components, and collaboration across enterprise teams to deliver high-quality AI solutions for complex business use cases.

Qualifications

• Bachelor's or Master's in CS, Engineering, Data Science, AI, or a related discipline.
• 5+ years of software engineering experience.
• 2+ years building AI, GenAI, or machine learning solutions.
• Strong development experience with Python and modern API frameworks.
• Experience designing and deploying production‑grade GenAI applications.
• Strong understanding of Large Language Models, embeddings, vector search, and RAG architectures.
• Experience building autonomous or agent‑based AI systems.
• Experience with Google Cloud - cloud-native application development and container orchestration is a MUST.

Responsibilities

• Agent Architecture: Build production multi-agent systems using LangGraph, CrewAI, AutoGen, or Google Vertex AI Agent Builder.
• Network & Tool Integration: Implement secure API connectors, proxies, and MCP tooling to interact across Ford VPC boundaries and third-party SaaS/COTS platforms.
• Data Pipelines: Query, extract, and structure matter data from PostgreSQL for agent context, reasoning engines, and vector stores (RAG).
• GCP Deployment: Package runtimes in Docker and deploy on GCP (Cloud Run, GKE, Vertex AI) following Ford InfoSec, IAM, and egress policies.
• App Collaboration: Partner with the core product team to surface agent outputs and human-in-the-loop validation within the existing Java/Spring Boot/Angular portal.

Skills

GenAI concepts

Large Language Models

Vector search

Autonomous AI systems

Product-team collaboration

Education

Bachelor's or Master's in CS/Engineering/Data Science/AI

Tools

Python

API frameworks

Docker

PostgreSQL

Java/Spring Boot/Angular

GCP

Job description

Title: Senior Agentic AI Software Engineer w/ Google Cloud Platform (GCP)

Description

STG is a fast-growing Digital Transformation services company providing Fortune 500 companies with Digital Transformation, Mobility, Analytics and Cloud Integration services in both information technology and engineering product lines. STG has a 98% repeat business rate from existing clients and have achieved industry awards and recognition for our services. Crain’s Detroit Business named STG to Michigan’s Fastest Growing Companies list in both 2020 and 2019, Top IT Services Company’s List in 2020, 2019, 2018, and Top Minority Business Enterprise List in 2020, 2019, and 2018.

STG puts company CULTURE at the forefront of every business decision and employees are EMPOWERED and MEASURED for RESULTS. Both TEAMWORK and INDIVIDUAL Performance is recognized and rewarded.

This is a full-time position that includes responsibilities of Senior Agentic AI Software Engineer.

The right person for this position will have high energy, a positive attitude, and high attention to detail, and an unwavering commitment to teamwork.

Responsibilities

• Agent Architecture: Build production multi-agent systems using LangGraph, CrewAI, AutoGen, or Google Vertex AI Agent Builder.
• Network & Tool Integration: Implement secure API connectors, proxies, and Model Context Protocol (MCP) tooling to interact across Ford VPC boundaries and third-party SaaS/COTS platforms.
• Data Pipelines: Query, extract, and structure matter data from PostgreSQL for agent context, reasoning engines, and vector stores (RAG).
• GCP Deployment: Package runtimes in Docker and deploy on GCP (Cloud Run, GKE, Vertex AI) following Ford InfoSec, IAM, and egress policies.
• App Collaboration: Partner with the core product team to surface agent outputs and human-in-the-loop validation within the existing Java/Spring Boot/Angular portal.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related discipline.
• 5+ years of software engineering experience.
• 2+ years of hands‑on experience building AI, GenAI, or machine learning solutions.
• Strong development experience with Python and modern API frameworks.
• Experience designing and deploying production‑grade GenAI applications.
• Strong understanding of Large Language Models, embeddings, vector search, and RAG architectures.
• Experience building autonomous or agent‑based AI systems.
• Experience with Google Cloud - cloud-native application development and container orchestration is a MUST.

Preferred

• Background in legal operations, litigation management, or Thomson Reuters Legal Tracker.
• Experience deploying Human-in-the-Loop (HITL) review interfaces in regulated enterprise settings.