Generative AI Engineer – LLM & Agentic Systems

Computer Task Group; United States; Remote; USD 90,000 - 96,000; Full time

Job summary

CTG is seeking a Generative AI Engineer for remote work to design, develop, and deploy production-grade AI applications leveraging LLMs and agentic architectures. You will build RAG pipelines, agent workflows, and tool integrations with LangGraph, LangChain, and MCP, while delivering scalable backend services with Python, TypeScript, FastAPI, and React.

Ideal candidates will have deep knowledge of AWS/GCP, multi-tenant cloud platforms, and strong CI/CD, DevSecOps, and governance practices to

Qualifications

• Proven experience designing and deploying production-grade Generative AI applications.
• Experience with LLM-based development, RAG, and agentic systems.
• Strong background in cloud-native architectures and multi-tenant platforms.

Responsibilities

• Design, develop, and deploy production-grade Generative AI applications using LLMs and agentic architectures.
• Build RAG pipelines, agent workflows, and tool integrations with LangGraph, LangChain, and MCP.
• Develop scalable back-end services, APIs, and front-end apps using Python, TypeScript, FastAPI, and React.
• Build and maintain secure, multi-tenant AI platforms across AWS and GCP.
• Implement AI evaluation, observability, security controls, governance, and monitoring.
• Lead end-to-end CI/CD, authentication, deployment, and support across stacks.
• Troubleshoot issues and provide cloud/database/integration guidance across teams.
• Collaborate with cross-functional teams to improve AI performance and reliability.

Skills

Generative AI

LLM development

RAG pipelines

Multi-agent systems

Python

TypeScript

FastAPI

React

AWS & GCP

CI/CD & DevSecOps

Observability & security

Education

Bachelor's degree or equivalent

Tools

LangGraph

LangChain

MCP

Job description

Generative AI Engineer – LLM & Agentic Systems

CTG is seeking to fill a Generative AI Engineer – LLM & Agentic Systems position for our client. Location: Remote Duration: 6 months Duties: 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.

Skills: 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.

Experience: 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). Experience with quality engineering, platform engineering, DevSecOps, and application lifecycle management is preferred.

Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.

Nice to Have: Experience with Claude, Google Cloud Vertex AI, and Google Agent Development Kit (ADK). Familiarity with PostgreSQL, Airflow, and additional cloud-based AI services. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

The expected base salary for this position ranges from $65.00 to $70.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained.

In addition to salary, a competitive benefit package is also offered.

About CTG CTG, a Cegeka company, delivers IT and business solutions that enhance clients’ digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years’ experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries. Together, we shape what’s next—working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you’ll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com.

CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws. CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.