Job Description
A role focused on developing and deploying advanced AI solutions, including predictive models and autonomous agents, within the Finance domain of a SaaS company, requiring end-to-end engineering expertise and collaboration with cross-functional teams.
Key Responsibilities
- Partner with product owners and finance experts to identify AI use cases in Accounts Receivable
- Design and develop predictive models, generative AI features, and multi-agent systems for business problems
- Build LLM-based copilots and autonomous agents with human-in-loop flows, security guardrails, and audit trails
- Collaborate with software engineers and data scientists to integrate AI features into the product
- Develop and maintain secure, scalable MLOps pipelines for training, deployment, and monitoring of AI models
- Evaluate and improve model performance and user impact continuously
Requirements
- 7 years of AI ML engineering experience.
- 3 years of hands-on experience with LLM-based solutions.
- 1 year of experience building agentic systems that are production-ready, not POCs.
- Strong understanding of multi-agent architectures, memory systems, tool-use, orchestration, routing, and safety guardrails.
- Experience building autonomous or semi-autonomous agents with governance, logging, and human-in-loop flows.
- Strong programming skills in Python preferred, R, or Java.
- Experience with AI ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Solid understanding of predictive modeling, NLP, ML algorithms, and statistics.
- Experience working in cloud environments such as AWS, Azure, or GCP with model deployment and data pipelines.
- Knowledge of GitHub, GitLab, version control, and CI/CD practices.
- Basic understanding of web fundamentals including HTTP, JSON, authentication, and REST APIs to integrate AI LLM solutions into the product.
- Strong analytical and problem-solving skills.
- Ability to communicate complex concepts clearly to non-technical partners.
- Great collaboration and teamwork abilities.
Benefits & Perks
generous PTO
hybrid working options
company equity RSUs
comprehensive benefits
extensive parental leave
dedicated volunteer days
access to resources such as gym subsidies, counseling, and well-being programs
benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities
connect and belong through inclusion and belonging programs
opportunity to work with a leading process mining technology
international team collaboration
empowered environment with open culture and autonomous teams
Ready to Apply?
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