Artificial Intelligence Engineer

V2

Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more.

Certified with CMMI Level 3 and ISO standards, V2

Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!

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Only W2, No C2C. Candidate should be available for an in-person interview at the Client location in Dearborn. 4 days onsite

Position Description:
This is a hands-on individual contributor role focused on building AI/agentic systems for an Enterprise Data Platform, with emphasis on multi-agent orchestration on Google Cloud Platform (GCP)
Key expectations include:
1. Architecture:
Design multi-agent AI systems, evaluate trade-offs (single vs. multi-agent, RAG vs. fine-tuning), and contribute to Architecture Decision Records.
2. Hands-on coding:
Daily production-grade code across agent frameworks, backend/frontend, LLM-powered workflows (NL-to-SQL, semantic search, metadata enrichment), plus guardrails and observability for AI outputs. Familiarity with Agentic coding tools like opencode, Claude code etc is expected.
3. Full-stack work:
Backend (Python/FastAPI) and frontend (Angular/React) development, chat and API interfaces, and evaluation/benchmarking tools, with end-to-end feature ownership.
4. Engineering excellence:
Maintain high code quality, lead by example in reviews, conduct root-cause analysis on agent failures, and act as the team's technical anchor for tough problems.
5.

Collaboration:

Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning, and help onboard new hires. In short, the role combines deep technical architecture responsibility with daily hands-on coding, centered on building robust, scalable multi-agent AI systems and serving as the team's go-to technical expert.
Skills Required:
Artificial Intelligence & Expert Systems
Skills Preferred:
GCP
Experience Required:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.

- 5+ years of professional software engineering experience with demonstrated hands-on coding proficiency.

- Demonstrable experience building AI-powered applications or operating LLM-based systems in production environments.

- Proven ability to interpret ambiguous requirements and independently deliver functional, well-tested software.
Experience Preferred:

Experience with the Google Agent Development Kit (ADK) or comparable agent frameworks, such as CrewAI, or Lang Graph. Familiarity with data engineering practices and data governance processes. Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics.
Education Required:
Bachelor's Degree
Education Preferred:
Master's Degree
Additional Information:
Candidate should be available for an in-person interview at the Client location in Dearborn. 4 days onsite

V2

Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
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