Responsibilities
- Architect and develop multi-agent systems for process automation and intelligent decision-making.
- Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, AutoGPT, or similar.
- Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.
- Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions.
- Collaborate with business stakeholders to identify opportunities for agent-driven process improvement.
- Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models.
- Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.
- Optimize models for scalability, latency, and accuracy in production environments.
- Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards.
- Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.
- 3+ years’ experience in AI/ML engineering, agent development, process engineering, or related roles.
- Proven track record of building and deploying production-grade AI agents and ML models.
- Deep expertise in at least three of the following: Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI.
- Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools.
- Experience in business process analysis, process mapping, and workflow automation.
- Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate).
- Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals.
- Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics.
- Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen.
Benefits
- Medical, dental, vision insurance
- Disability and life insurance
- 401(k) plan and company match
- Tuition reimbursement program (select degrees)
- Company holidays
- Well-being benefits
- Sick time
- Floating holidays
- Paid vacation
Additional Information
- Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
- Travel: 10%
- U.S. based employees may be eligible for short-term and/or long-term incentives.
- U.S. based employees are also eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others.
- U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.
