Lead Python Engineer - Agentic Systems and Platform

ABOUT THE ROLE

We are seeking a highly skilled and motivated ML Engineer to join our dynamic team. This is a unique opportunity to work on cutting-edge generative AI and agentic applications, while also building the foundational platform that will power these systems across the company. The ideal candidate will possess a strong background in backend software engineering, coupled with a passion for and experience in building and deploying AI/ML models, particularly in the Generative AI space.

• *As a ML Engineer you ll be:**
• Design, build, and maintain scalable and robust Generative AI and Agentic-powered products and systems.
• Collaborate with data scientists and other engineers for the development of our internal Agentic Platform, creating reusable components and services.
• Implement and optimize data pipelines for training and evaluating AI models.
• Ensure the reliability, observability and performance of our AI-powered systems through robust testing, CI/CD pipelines, and monitoring.
• Stay up-to-date with the latest advancements in AI, large language models (LLMs), and agentic systems, and apply them to solve real-world business problems.

WHAT WE ARE LOOKING FOR

• Proven experience in designing, building, and operating enterprise-scale distributed systems and microservices.
• A seasoned software engineer with a strong foundation in backend development and experience with Python.
• A strong interest in and practical experience with machine learning and Generative AI, including:
• Familiarity with LLMs and their applications.
• Experience with prompting techniques and retrieval-augmented generation (RAG).
• Knowledge of frameworks and libraries like LangChain, LangGraph or similar.
• Understanding of the lifecycle of an AI/ML model, from data collection to deployment, testing and monitoring.
• Hands-on experience with cloud platforms (we use AWS and GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of CI/CD principles and experience with relevant tools (we use GitHub Actions).
• Excellent problem-solving skills and the ability to work effectively in a collaborative, fast-paced environment.
• Familiarity with data storage technologies, including relational databases and data warehouses (we use BigQuery)
• A passion for innovation and a desire to build cutting-edge, impactful products.
• *Nice to have**
• Experience with event-driven architectures and message queues (we use Kafka and AWS SNS/SQS).
• Familiarity with vector databases.
• Experience with MLOps tools and practices.

OUR TECH STACK

(You don t have to excel in all, but willing to learn them):

• Databricks on AWS
• Python Flask
• Snowflake
• Tecton - feature store
• Fiddler - model observability platform
• *WHAT YOU LL GET IN RETURN:
• Competitive Compensation - competitive salary and share options
• Time Off Generous annual leave on top of bank holidays.
• Parental Leave Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover Comprehensive accidental and life insurance protection.
• Mental Wellbeing Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days Paid days annually for volunteering or personal growth.
• Learning & Development Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) Work from abroad for up to 90 days annually.
• Home Office Setup Contribution towards setting up your home office
• Laptop Ownership Keep your old laptop and get a new one when it s time for a replacement.
• Snacks & Meals** Office perks with snacks, coffee, tea, and lunch (location dependent).