AI and Automation Engineer

About the role

Braviant Holdings is building a new AI & Automation practice and is hiring two hands-on engineers to design, deploy, and govern AI-powered automation workflows. This greenfield role focuses on replacing manual processes with agentic AI in areas like consumer lending originations, credit risk, compliance, and internal operations.

Key Responsibilities

• Design and build AI agent workflows to automate business processes.
• Migrate manual processes into governed, production-grade pipelines with human-in-the-loop checkpoints.
• Utilize Strands Agents SDK as the default framework, selecting alternative tools (e.g., CrewAI, LangGraph) where appropriate.
• Implement structured outputs, function calling, and tool-use patterns to connect LLMs with business logic.
• Manage and build MCP (Model Context Protocol) servers/clients for secure API and data access.
• Develop skills, plugins, and tool integrations for AI platforms like Claude.
• Integrate AI capabilities via REST APIs, event queues, and AWS services.
• Implement lightweight automation connectors (n8n, Zapier, Make) for specific workflows.
• Instrument workflows with logging, tracing, and alerting for auditing and debugging.
• Implement guardrails, usage controls, and compliance standards for AI deployments.
• Contribute to responsible AI documentation, runbooks, and incident response playbooks.
• Stay current on agentic AI developments and regulatory requirements.
• Partner with business stakeholders to translate requirements into technical specs.
• Contribute to shared frameworks, reusable components, and engineering standards.
• Participate in design and code reviews.

Requirements

• 2–4 years of software engineering experience with production Python and SQL.
• Proven experience shipping AI/ML or LLM-powered solutions in real production environments.
• Practical experience with agentic/LLM orchestration frameworks (Strands, LangGraph, CrewAI, AutoGen, etc.).
• Experience integrating AI services via APIs and building function-calling patterns.
• Familiarity with AWS and cloud-native architecture.
• Daily use of AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot).
• Strong skills in prompt engineering and structured outputs.
• Excellent written communication for technical and compliance documentation.
• Bachelor's degree in Computer Science, Engineering, or similar technical field (or equivalent experience).

Benefits & Perks

• Competitive compensation and annual discretionary bonus plan.
• Comprehensive healthcare (medical, dental, vision).
• Generous PTO, sick time, and 13 company holidays.
• 401(k) with company contribution.