Senior AI Engineer - Multi-Agent Systems & RAG Pipelines

HTC Global Services; Dearborn (MI); Hybrid; USD 140,000 - 210,000; Full time

Job summary

HTC Global Services seeks an Artificial Intelligence Senior Associate to develop and deploy production-grade AI applications, algorithms, and intelligent automation solutions. You will focus on multi-agent systems, RAG pipelines, data-driven apps, and AI services that solve complex problems and enable self-service capabilities.

The role spans generative AI, NLP, deep learning, cognitive automation, and production software engineering with emphasis on scalability, safety, observability, and

Qualifications

• Bachelor's degree in CS/SE or related field, or equivalent practical experience.
• 3+ years building production software systems, including 1–2+ years ML/AI or LLM-based apps.
• Proven experience designing and deploying multi-agent or multi-service architectures in production.
• Strong Python proficiency, including asynchronous/concurrent programming.
• Experience with backend frameworks such as FastAPI or Flask.
• Hands-on experience with agent orchestration frameworks such as LangGraph, CrewAI, LlamaIndex.
• Experience building RAG pipelines, including vector databases, embeddings, chunking strategies, and retrieval evaluation.
• Cloud deployment experience, ideally with Google Cloud Platform.
• Experience with cloud technologies such as BigQuery, Cloud Run/GKE, Vertex AI, and Pub/Sub, or equivalent AWS/Azure services.
• Strong SQL skills and experience with cloud data warehouses.
• Experience with containerization and CI/CD, including Docker, Kubernetes, and GitHub Actions/Cloud Build.
• Experience building evaluation and observability pipelines for LLM/agent systems, including offline evaluation datasets, LLM-as-judge scoring, and tracing tools such as LangSmith, Langfuse, OpenTelemetry, or equivalent.
• Understanding of LLM safety practices, including guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code or SQL.
• Strong software engineering fundamentals, including API design, testing, version control, and security best practices.
• Experience with Google Cloud Platform.

Responsibilities

• Understand business requirements and develop AI algorithms, models, and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data, orchestrate automation, and enable self-service capabilities.
• Architect and deploy production multi-agent orchestration systems using modern agent frameworks with state management and checkpointing.
• Design and productionize RAG pipelines, including chunking, embeddings, hybrid retrieval, and reranking.
• Build data-driven applications that translate data into actionable intelligence through large-scale experimentation.
• Develop innovative applications using generative AI, deep learning, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants, and specialized programming.
• Research and optimize AI technologies to improve the efficiency and accuracy of data analysis and automation.
• Design and implement safe, least-privilege, validated execution of LLM-generated SQL.
• Build CI/CD, containerization, and infrastructure-as-code solutions for deploying AI services in cloud environments.
• Implement evaluation pipelines and observability/tracing for AI and agent systems, including evaluation datasets, LLM-as-judge scoring, and regression monitoring.
• Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to support safe and reliable AI outputs.
• Design cost and latency optimization strategies, including tiered model routing and caching.
• Integrate validated AI outputs with operational systems and reporting pipelines.
• Collaborate with data scientists to productionize AI prototypes into scalable, monitored services.
• Establish versioning, testing, and safe rollout practices for evolving AI and agent logic.

Skills

Python

Async programming

FastAPI

LangGraph

CrewAI

LlamaIndex

RAG pipelines

Google Cloud

BigQuery

Cloud Run

Vertex AI

Pub/Sub

SQL

Docker

Kubernetes

CI/CD

LangSmith

Langfuse

OpenTelemetry

GitHub Actions

Education

Bachelor's degree in CS/SE or related field

Tools

FastAPI

Flask

Docker

Kubernetes

LangGraph

CrewAI

LlamaIndex

LangSmith

Langfuse

OpenTelemetry

GitHub Actions

Cloud Run

GCP

BigQuery

Vertex AI

Pub/Sub

Job description

HTC Global Services seeks an Artificial Intelligence Senior Associate to develop and deploy production-grade AI applications, algorithms, and intelligent automation solutions. You will focus on multi-agent systems, RAG pipelines, data-driven apps, and AI services that solve complex problems and enable self-service capabilities.

The role spans generative AI, NLP, deep learning, cognitive automation, and production software engineering with emphasis on scalability, safety, observability, and