About Us:
Our swift traction in the market underscores our mission: to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from leading experts.
Why Join Us:
About the Team:
You will join a passionate and fast-moving AI/ML team committed to building cutting-edge autonomous AI agents and intelligent systems. The team thrives on solving real-world challenges and pioneering new approaches to decision intelligence and automation.
Role Overview:
We are looking for an experienced Lead Automation Test Engineering who is passionate about building autonomous Agentic AI systems capable of reasoning planning and executing tasks with minimal human intervention. You will play a critical role in developing and optimizing these agents by combining advanced technologies such as LLMs reinforcement learning and symbolic AI and embedding them into enterprise-grade platforms.
What Youll Do:
Design and build AI agents that autonomously plan and perform complex tasks using LLMs reinforcement learning and symbolic Machine Learning & NLP: Develop and fine-tune NLP models for natural language understanding contextual decision-making and conversational
Technical Skills:
Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch
Experience with Large Language Models (e.g. GPT Claude LLaMA) including prompt engineering and fine-tuning
Hands-on knowledge of reinforcement learning planning algorithms and autonomous agent frameworks
Familiarity with cloud platforms (AWS Azure GCP) and MLOps practices
Strong understanding of AI pipelines API development and system integration
Qualifications:
Education: Bachelors or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related field from a Tier-1 institution
Experience: 812 years of experience in AI/ML development including hands-on work with LLMs systems
Demonstrated ability to take research concepts into production-grade systems
Preferred Qualifications:
Experience in decision intelligence strategic planning AI or autonomous agent frameworks
Knowledge of graph-based reasoning AI or hybrid AI modelsE
xposure to data pipeline frameworks such as Flink PySpark or similarFamiliarity with containerization tools (Docker Kubernetes) and messaging systems (Kafka RabbitMQ)
What We Do and Value:
Perks & Benefits:
Competitive salary equity and performance bonuses
Paid sick leave
Latest MacBook Pro and best-in-class tools
Comprehensive health insurance coverage
Paid parental leave
Flexible hybrid work culture (Bengaluru office)
Our Commitment to Diversity and Inclusion:
If youre passionate about Automation Engineering and want to help build the future of autonomous enterprise systems wed love to hear from you.