Sr. AI Engineer

The Senior AI Engineer will play a key role in building and maintaining multi-agent workflows and RAG systems within the Agentic Process Automation (APA) framework. You will be responsible for implementing production-ready AI solutions, integrating toolsets, and ensuring high-quality system performance.

Responsibilities

• Agent Development: Build and maintain multi-agent workflows, implementing tool integrations (APIs, ERP, CRM, ITSM) with robust error handling.
• RAG & Knowledge Systems: Develop end-to-end RAG pipelines, including ingestion, chunking, embedding, and vector store management, while monitoring and improving retrieval quality.
• RPA & Hybrid Automation: Develop and maintain RPA task bots and implement logic for AI agent-to-RPA handoffs.
• Production & Quality: Write unit and integration tests, contribute to CI/CD pipelines, manage prompt versioning, and participate in incident response.
• Collaboration: Work with senior engineers to take ownership of components and participate in stakeholder use-case discovery.

Requirements

• 2-5 years of experience in software engineering, with at least 2 years building AI-powered or automation solutions in production.
• Bachelor's or Master's degree in CS, AI/ML, Data Science, or equivalent practical experience.
• Strong proficiency in Python, cloud AI services, APIs, data pipelines, and event-driven systems.
• Hands-on experience with agent patterns (tool use, memory, multi-step reasoning), LLM APIs, and RAG infrastructure.
• Experience with RPA platforms such as UiPath, Automation Anywhere, or Power Automate.

Preferred Qualifications

• Cloud AI certifications (AWS, Azure, or GCP).
• RPA platform certifications.
• Exposure to LoRA/QLoRA fine-tuning and agent observability tools like LangSmith or Arize.