AI Integration Developer

-Strong practical experience in Artificial Intelligence and Machine Learning.

-Strong understanding of supervised and unsupervised learning techniques.

-Experience with classification, regression, and clustering models.

-Experience in model training, validation, evaluation, tuning, and monitoring.

-Practical experience with LLMs such as GPT, Claude, or similar platforms.

-Strong understanding of prompt engineering.

-Hands-on experience implementing RAG solutions.

-Experience with vector databases such as Pinecone, FAISS, or Weaviate.

-Experience developing conversational AI, chatbots, or document-processing solutions.

-Strong experience with TensorFlow, PyTorch, and/or Scikit-learn.

-Strong Python development skills.

-Experience developing RESTful APIs.

-Experience handling large structured and unstructured datasets.

-Experience with data preprocessing and transformation pipelines.

-Hands-on experience with AWS services including SageMaker, Bedrock, Lambda, S3, Nextflow, and IAM.

-Experience deploying and monitoring AI models in production.

-Strong knowledge of Docker, MLOps, and CI/CD practices.

-Familiarity with microservices and API-first architecture.

-Knowledge of SQL and NoSQL databases.

-Experience using Git and version-control systems.

-Good understanding of Microsoft .NET technologies.

-Familiarity with ASP.NET Core, Blazor/MVC, Web APIs, and Entity Framework.

-Understanding of application security, authentication, and authorization.

-Strong problem-solving and analytical skills.

-Ability to clearly explain AI concepts to technical and non-technical stakeholders.

-Strong technical documentation and communication skills.

-Exposure to healthcare, genomics, licensing, insurance, or government systems is preferred.

-Ability to work within structured enterprise or government project environments.

-Willingness to support production systems and critical deployments.

-Ability to work 40 hours per week, Sunday to Thursday, from 7:00 AM to 3:00 PM.

-Willingness to provide 24/7 on-call support for urgent incidents when required.

Work Location: In person