AI Engineer

Avetta is a SaaS platform that connects leading organizations with qualified suppliers, enhancing supply chain risk and compliance through advanced AI solutions. They are seeking a highly skilled AI Engineer to develop and deploy AI-powered platforms and intelligent systems that transform safety and risk management in enterprises.

Responsibilities:

• Design and implement production-grade AI systems, including intelligent assistants and multi-agent orchestration platforms
• Build agentic workflows using frameworks such as CrewAI, AutoGen, Threads, LangChain, and LangGraph for orchestration
• Develop and maintain RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge bases
• Integrate and extend enterprise AI tools through custom solutions
• Collaborate with senior stakeholders to design, develop, and deploy custom AI solutions to solve complex business problems
• Develop robust, maintainable, and well-tested code for enterprise AI applications
• Optimize API integrations with LLM providers (OpenAI, Anthropic) and enterprise platforms
• Ensure system security and compliance with enterprise standards
• Utilize modern AI development tools such as Claude Code, Cursor, Windsurf, and GitHub Copilot
• Build internal automation tools to accelerate AI development workflows
• Stay current with emerging AI technologies and integrate them into Avetta’s platform
• Lead technical and strategic direction for AI initiatives
• Lead key projects, architecture reviews, and technical discussions around automation, augmentation, and acceleration of workflows and processes using AI techniques
• Communicate complicated technical concepts clearly to technical and non-technical stakeholders, including senior executives
• Drive collaboration and crucial conversations across business functions centering around business processes and workflows
• Drive innovation and introduce relevant cutting-edge technologies to maintain Avetta’s industry leadership

Requirements:

• Strong technical leadership
• Exceptional communication skills
• Collaboration across departments
• Delivering impactful outcomes
• Commitment to innovation in AI technologies
• Design and implement production-grade AI systems, including intelligent assistants and multi-agent orchestration platforms
• Build agentic workflows using frameworks such as CrewAI, AutoGen, Threads, LangChain, and LangGraph for orchestration
• Develop and maintain RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge bases
• Integrate and extend enterprise AI tools through custom solutions
• Collaborate with senior stakeholders to design, develop, and deploy custom AI solutions to solve complex business problems
• Develop robust, maintainable, and well-tested code for enterprise AI applications
• Optimize API integrations with LLM providers (OpenAI, Anthropic) and enterprise platforms
• Ensure system security and compliance with enterprise standards
• Utilize modern AI development tools such as Claude Code, Cursor, Windsurf, and GitHub Copilot
• Build internal automation tools to accelerate AI development workflows
• Stay current with emerging AI technologies and integrate them into Avetta's platform
• Lead technical and strategic direction for AI initiatives
• Lead key projects, architecture reviews, and technical discussions around automation, augmentation, and acceleration of workflows and processes using AI techniques
• Communicate complicated technical concepts clearly to technical and non-technical stakeholders, including senior executives
• Drive collaboration and crucial conversations across business functions centering around business processes and workflows
• Drive innovation and introduce relevant cutting-edge technologies to maintain Avetta's industry leadership
• 5-8 years of professional software engineering experience, with 2+ years focused on operationalizing/productionizing AI/ML systems
• Deep expertise in Python; experience with Java, C/C++, or R is a strong plus
• Proven track record building and deploying production AI systems with LLMs (such as OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, etc.)
• Good understanding of agents, RAG architectures, vector databases, and semantic search
• Strong fundamentals in software engineering, testing, CI/CD, and system design
• Excellent communication skills for engaging with senior leadership
• Strong experience with agentic frameworks (such as CrewAI, AutoGen, LangGraph)
• Familiarity with enterprise SaaS environments and B2B product development
• Experience with agentic AI development tools (such as Claude Code, Cursor, Windsurf, GitHub Copilot, Devin)
• Familiarity with observability platforms (LangFuse, LangSmith, Weights & Biases)
• Experience with fine-tuning and LLM optimization
• Track record of mentoring engineers and driving technical strategy