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# Gen AI Engineer

- **Company:** CCS, LLC
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $83,200.0 - $104,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Delivery, Continuous Integration, Revision Control Systems, Python (Programming Language), Lex (Software), Azure Machine Learning, Software Engineering, Workflow Management Systems, Reinforcement Learning, Scripting, Google Cloud, Large Language Models, Prompt Engineering, Generative AI, Containerization, Kubernetes, HuggingFace, Machine Learning Operations, Docker
- **Published:** September 25, 2026
- **Apply:** https://www.careerbuilder.com/job-details/gen-ai-engineer-plano-tx--adce1bb5-cc31-48bd-b6f9-295ab69b982d

## About the Role

* 10+ years of software engineering and development experience
 * Strong experience in building and deploying GenAI applications in production.
 * Strong programming with Python and familiar with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
 * Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).
 * Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
 * Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC.
 * Hands-on experience designing and building cloud-native solutions (preferably on AWS)
 * GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock) will be a PLUS
 * Familiar with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) is a PLUS
 * AWS AI certification
 * Financial Services experience, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Call Centers, Certified Coding Specialist (CCS), Cloud Computing, Computer Programming, Continuous Deployment/Delivery, Continuous Integration, Dental Insurance, Docker, Financial Services, GCP (Good Clinical Practices), Health Insurance, LEX (LEXical analyzer), Leadership, Microsoft Windows Azure, Python Programming/Scripting Language, Reinforcement Learning, Return on Investment (ROI), Software Development, Software Engineering, Technical Strategy, Vision Plan

## Description

* Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG).
 * Fine-tune foundation models using domain-specific data.
 * Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).
 * Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools.
 * Implement responsible AI practices including bias detection, hallucination mitigation, and explainability.
 * Drive experimentation with new models, agents, and frameworks (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.).


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