AI Engineer

RESPONSIBILITIES:
Kforce has a client in Houston, TX in search of an AI Engineer. Our client is seeking an Applied AI Engineer to join our growing Data & AI team. This role is ideal for an experienced software engineer with a deep understanding of generative AI technologies and a passion for building scalable, production-grade AI solutions. You will be responsible for designing, prototyping, and deploying GenAI-powered applications, while also contributing to our AI platform architecture across cloud environments such as Google Cloud Platform (Google Cloud Platform) and Microsoft Azure.

Key Responsibilities:
* Translate business needs into robust, scalable GenAI technical solutions.
* Design, prototype, and implement LLM-driven applications using techniques such as RAG, prompt engineering, fine-tuning, and vector search.
* Develop APIs and reusable software components in Python to support GenAI applications.
* Leverage orchestration frameworks (e.g., LangChain, LlamaIndex, or LangGraph) to deliver dynamic and modular AI workflows.
* Collaborate with cross-functional teams to integrate AI capabilities into business applications.
* Deploy and monitor GenAI models and pipelines using cloud-native tools, Kubernetes, and serverless architectures.
* Continuously evaluate model and system performance, implementing improvements as needed.
* Create and maintain technical documentation and support materials for deployed solutions.

REQUIREMENTS:
* Bachelor's or Master's degree in Computer Science, AI/ML, or a related field
* 5+ years of software development experience with strong Python skills
* 2-3+ years of hands-on experience building GenAI/LLM-based applications
* Experience developing multi-step agent workflows using LangGraph or similar orchestration frameworks
* Proficient in designing retrieval pipelines: document loaders, chunking strategies, embedding models, and vector database integration

Strong grasp of GenAI concepts, including:
* Retrieval-Augmented Generation (RAG)
* Embeddings and vector databases (e.g., FAISS, Pinecone, ChromaDB)
* Prompt engineering and fine-tuning
* LLM APIs (e.g., OpenAI, Claude, Gemini)

* Experience deploying cloud-native solutions using Google Cloud Platform and/or Azure
* Solid understanding of API design, microservices, and software architecture patterns
* Familiarity with version control systems (e.g., Git, Azure DevOps)
* Experience with Docker and Kubernetes
* Demonstrated ability to build and scale AI/ML solutions from proof-of-concept to production

Preferred Qualifications:
* Experience with GenAI orchestration tools (e.g., LangChain, LlamaIndex)
* Familiarity with DevOps practices: Azure DevOps, YAML pipelines, Terraform
* Strong interpersonal and communication skills, with the ability to collaborate across teams and influence decision-making
* Self-starter with a proactive mindset and strong problem-solving abilities
* Ability to work both independently and in collaborative team environments
* Interest in leveraging AI tools to enhance productivity and solution delivery

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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