Note: The job is a remote job and is open to candidates in USA. VBeyond Corporation is seeking an Artificial Intelligence Engineer to be part of an Agile team building healthcare applications. The role involves implementing new features while adhering to best coding standards and requires strong experience in AI engineering and related technologies.

Responsibilities

• 10-12 years of overall software engineering experience
• Strong hands-on experience in Generative AI engineering
• Proven experience working with Anthropic Claude LLM
• Solid understanding of Agentic AI concepts (planning, reasoning, tool use, multi‑agent systems)
• Hands-on with Strands Agent Framework
• Experience with AWS Bedrock (model access, inference, orchestration)
• Strong containerization experience with Docker
• Deployment and operations on AWS ECS & EKS
• Proficiency in Python (primary) and experience with APIs/microservices
• Familiarity with GPT-based models (GPT 2.0 / GPT-style architectures) is a plus
• Experience with automation frameworks and CI/CD pipelines
• Working knowledge of cloud security and cost optimization for AI workloads
• Good to Have Experience with LLMOps / MLOps
• Knowledge of RAG pipelines, vector databases, and embeddings
• Exposure to data visualization libraries and analytical dashboards
• Experience in enterprise AI solutions or regulated environments
• Cloud certifications (AWS preferred)
• Strong problem-solving and system design skills
• Ability to work independently in an onsite delivery model
• Excellent communication and stakeholder collaboration skills
• Passion for emerging AI technologies and frameworks

Skills

• 10-12 years of overall software engineering experience
• Strong hands-on experience in Generative AI engineering
• Proven experience working with Anthropic Claude LLM
• Solid understanding of Agentic AI concepts (planning, reasoning, tool use, multi‑agent systems)
• Hands-on with Strands Agent Framework
• Experience with AWS Bedrock (model access, inference, orchestration)
• Strong containerization experience with Docker
• Deployment and operations on AWS ECS & EKS
• Proficiency in Python (primary) and experience with APIs/microservices
• Experience with automation frameworks and CI/CD pipelines
• Working knowledge of cloud security and cost optimization for AI workloads
• Strong problem-solving and system design skills
• Ability to work independently in an onsite delivery model
• Excellent communication and stakeholder collaboration skills
• Passion for emerging AI technologies and frameworks
• Familiarity with GPT-based models (GPT 2.0 / GPT-style architectures) is a plus
• Experience with LLMOps / MLOps
• Knowledge of RAG pipelines, vector databases, and embeddings
• Exposure to data visualization libraries and analytical dashboards
• Experience in enterprise AI solutions or regulated environments
• Cloud certifications (AWS preferred)

Company Overview