1 day ago
Bengaluru, India
Senior / Staff+
H1B Sponsor
Responsibilities
- Partner with product owners and finance experts to identify strong AI use cases in Accounts Receivable.
- Design and build predictive models, generative AI features, and multi-agent systems tailored to business problems.
- Develop LLM-based copilots and autonomous agents, including human-in-loop flows, security guardrails, and audit trails.
- Work closely with software engineers and data scientists to embed AI features into the product.
- Build and maintain secure, scalable MLOps pipelines for training, deployment, and monitoring.
- Continuously evaluate and improve model performance and user impact.
- Stay current with the latest advancements in LLMs, NLP, multi-agent frameworks, and applied AI engineering.
- Set up and tailor AI demos as needed for customers, stakeholders, and internal teams.
- Contribute to a culture of innovation, collaboration, and continuous learning.
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 (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 (AWS/Azure/GCP) with model deployment and data pipelines.
- Knowledge of GitHub/GitLab, version control, and CI/CD practices.
- Basic understanding of web fundamentals (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.
- Curiosity and passion for innovation in AI and Finance.
Benefits
- Work with the leading, award-winning process mining technology, shaping the future of business.
- Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
- Receive generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, and dedicated volunteer days.
- Access to resources such as gym subsidies, counseling, and well-being programs.
- Find community and support through dedicated inclusion and belonging programs.
- Be part of a company driven by strong values that guide everything we do.
- Join a dynamic, international team of talented individuals.
- Contribute your ideas in an open culture with autonomous teams.
Tech Stack
AWSAzureGoogle Cloud PlatformJavaPythonPyTorchRscikit-learnTensorFlow
Categories
AI & MLData Science