Generative AI/LLM Engineer
Job in
Frisco, Collin County, Texas, 75035, USA
Listed on 2026-10-15
Listing for:
KForce
Full Time
position Listed on 2026-10-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
You will collaborate with cross-functional teams to identify opportunities, design scalable architectures, and implement AI-powered solutions that create measurable value.
Responsibilities:
* Design, develop, and deploy AI agents powered by Large Language Models (LLMs)
* Build and optimize Retrieval-Augmented Generation (RAG) solutions using vector search technologies and semantic retrieval
* Develop AI-powered applications that leverage text, voice, image, and document intelligence
* Build scalable APIs, microservices, and backend services supporting AI workloads
* Create integrations between AI platforms, enterprise systems, and automation frameworks
* Implement workflow automation and orchestration solutions to streamline business processes
* Evaluate, monitor, and improve model accuracy, performance, reliability, and cost efficiency
* Collaborate with product, engineering, operations, and business stakeholders to deliver AI initiatives
* Apply prompt engineering best practices to improve outputs and user experiences
* Ensure solutions meet security, privacy, governance, and responsible AI requirements
* Contribute to architecture standards, reusable components, and AI engineering best practices
* Stay current with emerging AI technologies and recommend innovative approaches for future adoption Requirements
* Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field
* 5+ years of professional software development experience, including significant Python development
* Hands-on experience building solutions with leading LLM providers such as OpenAI, Anthropic, Meta, Mistral, or similar platforms
* Strong understanding of prompt engineering, model evaluation, and AI application development
* Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures
* Experience with vector databases and semantic search platforms such as Pinecone, Weaviate, Chroma, Milvus, or equivalent technologies
* Experience building REST APIs, microservices, and scalable cloud-based applications
* Knowledge of AI agent frameworks such as Lang Chain, Llama Index, CrewAI, Auto Gen, or similar platforms
* Experience deploying applications in AWS, Azure, or Google Cloud environments
* Strong understanding of software design patterns, testing methodologies, and CI/CD practices
* Excellent communication and collaboration skills in cross-functional environments
Preferred Qualifications:
* Experience with speech technologies, including speech-to-text and text-to-speech solutions
* Experience with image generation, computer vision, or multimodal AI applications
* Knowledge of workflow automation tools such as n8n, Make, Zapier, or similar platforms
* Experience with Docker, Kubernetes, and containerized deployments
* MLOps experience supporting model deployment, monitoring, and continuous improvement
* Familiarity with React, Next.js, or modern front-end frameworks
* Experience building enterprise-scale AI products used by large internal or external audiences
* Demonstrated success delivering AI solutions from concept through production deployment
Job Type Direct Hire Compensation
165000 - $170000
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