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Lead Gen AI Engineer

CCS INC

Plano, TX

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Caching, Cloud Computing, Computer Programming, Continuous Deployment/Delivery, Continuous Integration, Dental Insurance, Docker, GCP (Good Clinical Practices), Health Insurance, LEX (LEXical analyzer), Microsoft Windows Azure, Performance Modeling, Performance Tuning/Optimization, Python Programming/Scripting Language, Reinforcement Learning, Software Development, Software Engineering, Vision Plan
LOCATION
Plano, TX
POSTED
28 days ago
Benefits:
  • Bonus based on performance
  • Dental insurance
  • Health insurance
  • Vision insurance


 
Qualifications:
 
  • 8+ years of software engineering and development experience
  • Proven experience in building and deploying GenAI applications in production.
  • Strong programming skills in Python and familiarity 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)
  • Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock)
  • Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex)
  • AWS AI certification
 
 
Responsibilities
  • 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.
  • Monitor and optimize model performance, latency, and cost.
  • Use techniques like quantization, distillation, and caching to improve efficiency.

About the Company

C

CCS INC

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