Senior Artificial Intelligence Engineer (Multi-Agent Orchestration & AI Systems)

Title: Artificial Intelligence Specialist (only W2 Position – No C2C Accepted)

Description: STG is a SEI CMMi Level 5 company with several Fortune 500 and State Government clients. STG has an opening for Artificial Intelligence Specialist.

Please note that this project assignment is with our own direct clients. We do not go through any vendors. STG only does business with direct end clients. This is expected to be a long-term position. STG will provide immigration and permanent residency sponsorship assistance to those candidates who need it.

Position Description:

Employees in this job function are 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

Key Responsibilities:

1. 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
2. Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence

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3. 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
4. Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required:

• Google Cloud Platform
• 4+ years building production software systems, including 1–2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production — not just notebooks or demos.
• Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks — LangGraph, CrewAI, LlamaIndex, or equivalent — for 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.

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• 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.

Additional Information:

• 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 produce prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.

Artificial Intelligence Specialist is based in Dearborn, MI. A great opportunity to experience the corporate environment leading personal career growth.

Resume Submittal Instructions: Interested/qualified candidates should email their word formatted resumes to Vasavi Konda – vasavi.konda(.@)stgit.com and/or contact @(Two-Four-Eight) Seven- One-Two – Six-Seven-Two-Five (@248.712.6725). In the subject line of the email please include: First and Last Name: Artificial Intelligence Specialist.

For more information about STG, please visit us at www.stgit.com.

Sincerely,

Vasavi Konda| Recruiting Specialist

“Opportunities don't happen, you create them.”

Systems Technology Group (STG)

3001 W. Big Beaver Road, Suite 500

Troy, Michigan 48084

Phone: @(Two-Four-Eight) Seven- One-Two – Six-Seven-Two-Five: @248.712.6725(O)

Email: vasavi.konda(.@)stgit.com