Remote Senior AI Platform Engineer | AI Workflow Builder

Synergis; Atlanta (GA); On-site; USD 110,000 - 117,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

401k

Commuter benefits

Job summary

Synergis is seeking a Senior AI Platform Engineer / AI Workflow Builder to design, implement, and scale AI-enabled workflows. You will write and ship production code daily, building AI agents, reusable capabilities, and multi-step workflows that connect to live systems and data sources.

You will structure enterprise information, create durable metadata, and ensure traceability across automation. This role emphasizes Python and TypeScript development, strong integration skills, observability, and

Qualifications

• Hands-on experience building AI agents or AI-enabled tools used by others.
• Strong production software engineering experience with Python and TypeScript.
• Experience connecting AI/LLM solutions to external sources via APIs, data, or repositories.
• Familiarity with MCP or related LLM integration patterns.
• Experience with APIs, systems integration, and data/workflow pipelines.
• Experience with CI/CD and pipeline automation (GitHub Actions or GitLab CI).

Responsibilities

• Build AI agents, reusable AI capabilities, and multi-step agentic workflows.
• Structure complex and fragmented enterprise information so AI systems can reliably search, interpret, and use it.
• Create schemas, taxonomies, metadata structures, and durable reference identifiers that support AI-driven workflows.
• Connect AI agents to live knowledge sources, files, repositories, tools, and data using MCP, APIs.
• Build integrations and automation across design, engineering, research, code repositories, Jira, and other enterprise platforms.
• Develop production-quality solutions using Python, TypeScript, APIs, and modern software engineering practices.
• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, or comparable technologies.
• Add instrumentation, telemetry, logging, and event tracking to AI workflows so performance and outcomes can be measured.
• Maintain traceability as information and work move across systems and workflow stages.
• Build reusable solutions where enterprise knowledge remains separate from the AI tools consuming it.
• Identify additional manual workflows that can be reliably automated with AI.

Skills

Python

TypeScript

AI agent development

APIs integration

Tools

MCP (Model Context Protocol)

GitHub Actions

GitLab CI

Job description

Synergis is seeking a Senior AI Platform Engineer / AI Workflow Builder to design, implement, and scale AI-enabled workflows. You will write and ship production code daily, building AI agents, reusable capabilities, and multi-step workflows that connect to live systems and data sources.

You will structure enterprise information, create durable metadata, and ensure traceability across automation. This role emphasizes Python and TypeScript development, strong integration skills, observability, and