Enterproce AI Data Engineer

Job Title : Enterproce AI Data Engineer Location : Dearborn, MI

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 LangGraph. 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 Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

• Candidate should be available for an in-person interview at the Ford location in Dearborn. 4 days onsite Based on the candidate's qualifications, alignment with the position, and the overall availability of qualified candidates, we may consider conducting the initial interview remotely. If the candidate is successful in the initial interview, a second interview may be required on-site. A second interview will only be scheduled if the candidate is considered a strong potential fit for the role; however, it does not guarantee selection

• The pay range for this role is $110k - $115k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

• Thanks & Regards

• Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.