Generative AI Engineer – LLM & Agentic Systems

Computer Task Group, Inc•UNAVAILABLE, UNAVAILABLE

1d•Remote

About The Position

CTG is seeking a Generative AI Engineer for a six-month client engagement. The position is remote and focuses on designing, developing, deploying, and supporting production-grade Generative AI applications, LLM solutions, agentic systems, and multi-agent architectures. The engineer will build RAG pipelines, agent workflows, and tool integrations; develop backend services, APIs, and user-facing applications; and maintain secure, multi-tenant AI platforms across AWS and GCP. The role also covers AI evaluation, observability, security, enterprise governance, operational monitoring, CI/CD, authentication, deployment, troubleshooting, and application support. The engineer will collaborate with cross-functional teams to improve performance, reliability, and scalability and provide technical consulting across cloud platforms, databases, and integration technologies. A bachelor's degree in a related field or equivalent practical experience is required. The expected base salary is $65.00–$70.00 per hour. A competitive benefits package is offered.

Requirements

Expertise in Generative AI, LLM-based application development, RAG, and multi-agent orchestration using LangGraph, LangChain, and MCP.
Proficiency in Python, TypeScript, FastAPI, React, SQL, and REST API development.
Strong understanding of AWS, GCP, cloud-native architectures, and scalable multi-tenant applications.
Knowledge of AI evaluation, observability, security, enterprise governance, CI/CD, and DevSecOps practices.
Ability to work across multiple programming languages, databases, open-source technologies, and integration platforms.
Proven experience developing, deploying, and supporting production-grade Generative AI applications and enterprise LLM solutions.
Demonstrated success building secure, scalable agentic systems and cloud-based applications.
Experience supporting multiple technology stacks, with expertise in at least two primary technology areas such as Java, open-source technologies, databases, integration technologies, Mainframe, IBM i, or Data Application Management Services (AMS).
Excellent verbal and written English communication skills and ability to interact professionally with a diverse group.
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.

Nice To Haves

Experience with Claude, Google Cloud Vertex AI, and Google Agent Development Kit (ADK).
Familiarity with PostgreSQL, Airflow, and additional cloud-based AI services.
Experience with quality engineering, platform engineering, DevSecOps, and application lifecycle management.

Responsibilities

Design, develop, and deploy production-grade Generative AI applications using LLMs, agentic systems, and multi-agent architectures.
Build RAG pipelines, agent workflows, and tool integrations using LangGraph, LangChain, MCP, and related frameworks.
Develop scalable backend services, APIs, and user-facing applications using Python, TypeScript, FastAPI, and React.
Build and maintain secure, multi-tenant AI platforms across AWS and GCP cloud environments.
Implement AI evaluation frameworks, observability, security controls, enterprise governance, and operational monitoring.
Manage end-to-end CI/CD, authentication, deployment, and ongoing application support across multiple technology stacks.
Troubleshoot application issues and provide technical consulting across cloud platforms, databases, and integration technologies.
Collaborate with cross-functional teams to improve AI application performance, reliability, and scalability.