Job Description
AI/ML Engineer
Architect and Deliver Design, build, and deploy scalable, AI-enabled microservices using AWS, Node.js, and Python Accelerate Development Use AI-assisted tools and LLM integrations (e.g., GitHub Copilot, Cursor, OpenAI, Bedrock, Claude) to reduce development time and increase code quality.
Prototype and Iterate Rapidly develop, test, and operationalize AI-driven product idea ssuch as automated claims triage, intelligent document processing, and conversational assistants into production-ready features.
Observability and Reliability Implement monitoring, logging, and automated alerting (e.g., CloudWatch, Datadog, Prometheus) to ensure system reliability and traceability of AI workflows.
Required Qualifications
Bachelors Degree in Computer Science, Software Engineering, or related field.2 years of software engineering experience, including at least 1 year in a leadership or technical lead role.
Strong proficiency in Python, TypeScript, and Node.js, with deep understanding of cloud-native and event-driven architectures.
Hands-on experience integrating LLMs, intelligent agents, or IDP systems into production environments.
Knowledge of Agent-to-Agent (A2A) and Model Context Protocol (MCP) frameworks.
Preferred Experience:
Practical experience operationalizing LLM-based agents or automation pipelines in production.
Background in generative AI integration within secure, regulated environments.
Architect and Deliver Design, build, and deploy scalable, AI-enabled microservices using AWS, Node.js, and Python Accelerate Development Use AI-assisted tools and LLM integrations (e.g., GitHub Copilot, Cursor, OpenAI, Bedrock, Claude) to reduce development time and increase code quality.
Prototype and Iterate Rapidly develop, test, and operationalize AI-driven product idea ssuch as automated claims triage, intelligent document processing, and conversational assistants into production-ready features.
Observability and Reliability Implement monitoring, logging, and automated alerting (e.g., CloudWatch, Datadog, Prometheus) to ensure system reliability and traceability of AI workflows.
Required Qualifications
Bachelors Degree in Computer Science, Software Engineering, or related field.2 years of software engineering experience, including at least 1 year in a leadership or technical lead role.
Strong proficiency in Python, TypeScript, and Node.js, with deep understanding of cloud-native and event-driven architectures.
Hands-on experience integrating LLMs, intelligent agents, or IDP systems into production environments.
Knowledge of Agent-to-Agent (A2A) and Model Context Protocol (MCP) frameworks.
Preferred Experience:
Practical experience operationalizing LLM-based agents or automation pipelines in production.
Background in generative AI integration within secure, regulated environments.
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