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CTG

IT services integration and digital branding

Generative AI Engineer - LLM & Agentic Systems

AI Application Engineering +1Posted on Nov 11
Full-timeRemote in USA$65 - $70 /hrRemote

About the Job

Requirements

  • 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.
  • Expertise in Generative AI, LLM-based application development, retrieval-augmented generation, 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.
  • A bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
  • Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group.

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.

Desired Qualifications

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

About the Company

CTG

IT services integration and digital branding

CTG Belgium is integrating with the Cegeka family to combine IT services and digital branding. The teams collaborate closely to align capabilities and deliver more value to clients, especially in digital channels and branding. They are phasing out the CTG Belgium channel and directing followers to Cegeka’s channels, signaling a unified brand presence. Their work centers on blending Cegeka’s and CTG’s expertise to provide coordinated IT services and digital solutions for customers. The main goal is a smooth brand transition and a stronger, shared offering powered by Cegeka and CTG together.

Company size
201-500
Company stage
IPO
Headquarters
Buffalo, NY
Founded
1966

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