Automation Anywhere - Staff Engineer - Machine Learning

Role : Staff Engineer - Machine Learning

Exp : 6 - 12 Years

Location : Bengaluru

About Us :

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Job Description :

We are seeking a highly skilled Staff Machine Learning Engineer with a strong background in Machine Learning and Software Engineering to join our team. In this role, you will collaborate closely with product managers, applied scientists, and engineers to design, implement, and scale ML-powered systems that extract and reason over information from complex, unstructured data sources-such as documents, web screens, and automation workflows. Your work will play a key role in enabling intelligent, context-aware assistants and task automation agents that understand user intent and deliver meaningful outcomes.

Key Responsibilities :

• Build intelligent agentic systems that combine document understanding, retrieval, and LLM-based reasoning to support context-aware conversational workflows.
• Design and implement scalable Agentic RAG pipelines that orchestrate unstructured data preprocessing, vector store integration, and LLM prompting for accurate, grounded responses.
• Develop modular ML components for layout analysis, information extraction, dialogue management, and tool invocation within multi-turn, goal-driven conversations.
• Integrate conversational agents with enterprise data sources, APIs, and downstream automation workflows to enable end-to-end task execution.
• Craft dynamic prompting and memory strategies to maintain context, reduce hallucination, and improve relevance in long-form or multi-turn queries.
• Collaborate cross-functionally with product managers, UX designers, and platform engineers to define agent behavior and ensure seamless user experiences.
• Monitor and continuously improve system performance, including response quality, retrieval precision, latency, and task success rate using real-world feedback.
• Drive data curation efforts including synthetic generation, annotation workflows, and hard example mining to improve agent robustness and generalization.
• Establish best practices for evaluating agent behavior, including human-in-the-loop review processes,

regression testing, and safety guardrails.

Qualifications / Expectations :

degrees are a plus.

Nice To Have :

(ref : hirist.tech)