AI Engineer

Stefanini Group is hiring!

Stefanini is looking for an AI Engineer Dearborn MI (Onsite)

For quick apply please reach out Adil Khan at /

You will be responsible for developing intelligent programs cognitive applications and algorithms for data analysis and automation leveraging various AI techniques such as deep learning generative AI natural language processing image processing cognitive automation intelligent process automation reinforcement learning virtual assistants and specialized programming.

Responsibilities

• Understand business requirements and develop AI algorithms models and programs to solve complex problems generate recommendations extract patterns make predictions interpret sensor data (images sound) orchestrate automation and enable self-service capabilities.
• Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence.
• Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning generative AI natural language processing image processing cognitive automation intelligent process automation reinforcement learning virtual assistants and specialized programming.
• Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation.
• Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator NL-to-SQL agent visualization agent RCA/RAG agent report composition agent notification agent) using modern agent frameworks with state management and checkpointing rather than ad-hoc loops.
• Design and productionize RAG pipelines (chunking embeddings hybrid retrieval reranking) grounded in approved schemas engineering documentation and historical issue records.
• Own BigQuery integration and enforce safe least-privilege validated execution of LLM-generated SQL.
• Build CI/CD containerization and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE Vertex AI).
• Implement evaluation pipelines and observability/tracing for every agent (golden datasets LLM-as-judge scoring regression alerts) so quality is measurable not assumed.
• Implement guardrails prompt-injection defenses and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action.
• Design cost/latency optimization strategies including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching.
• Integrate validated outputs with operational systems (Salesforce ticketing driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet).
• Collaborate with data scientists to productionize prototypes (anomaly detection diagnostic agents) into scalable monitored services.
• Establish versioning testing and safe rollout practices (canary/shadow deployments) for evolving agent logic.

Experience Required

• 3 years building production software systems including 12 years on ML/AI or LLM-based applications.
• Proven experience designing and deploying multi-agent or multi-service architectures in production environments beyond notebooks or proof-of-concept demos.
• Strong understanding of distributed systems engineering including reliability scalability service communication and probabilistic AI components.
• Strong proficiency in Python including asynchronous and concurrent programming.
• Experience developing backend applications with frameworks such as FastAPI Flask or equivalent technologies.
• Hands-on experience with agent orchestration frameworks such as LangGraph CrewAI LlamaIndex or equivalent tools. Experience building stateful multi-step tool-using agent workflows.
• Practical experience building RAG pipelines: vector databases (pgvector Pinecone Weaviate or Qdrant) embeddings chunking strategies and retrieval evaluation.
• Cloud deployment experience ideally Google Cloud Platform (BigQuery Cloud Run/GKE Vertex AI Pub/Sub) or equivalent AWS/Azure services.
• Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker Kubernetes GitHub Actions/Cloud Build).
• Experience building evaluation and observability pipelines for LLM/agent systems offline eval sets LLM-as-judge scoring and tracing tools (LangSmith Langfuse OpenTelemetry or equivalent) to track task success latency and cost.
• Understanding of LLM safety practices: guardrails output validation prompt-injection defense and safe execution of AI-generated code/SQL (sandboxing least privilege).
• Solid software engineering fundamentals: API design testing version control security best practices.

Experience Preferred

• Experience with cost optimization and model routing designing tiered pipelines that route between low-cost and high-capability models based on task complexity and modeling per-conversation or per-task cost at scale.
• Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases.
• Experience with automotive EV charging IoT or connected-vehicle telemetry data.
• Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents.
• Prior experience in a startup or 0-to-1 product environment comfortable with ambiguity and fast-evolving requirements.

Education Required

Education Preferred

**Listed salary ranges may vary based on experience qualifications and local market. Also some positions may include bonuses or other incentives***

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.

About Stefanini Group

The Stefanini Group is a global provider of offshore onshore and near shore outsourcing IT digital consulting systems integration application and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas Europe Africa and Asia and more than four hundred clients across a broad spectrum of markets including financial services manufacturing telecommunications chemical services technology public sector and utilities. Stefanini is a CMM level 5 IT consulting company with a global presence. We are a CMM Level 5 company.

#LI-AK3

#LI-ONSITE