Agentic AI Engineer

Remotestar; Bengaluru; On-site; INR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Cloud platforms experience

Docker/containerization

Distributed systems

Startup experience

Job summary

Remotestar is seeking an experienced ML Engineer to design and maintain scalable ML systems, write ML services and APIs, and deploy transformer-based models into production.

You will collaborate with data scientists and cross-functional teams to optimize performance, build robust data pipelines, and ensure reliable infrastructure for ML workflows. Strong Python, SQL, and testing fundamentals are essential.

Qualifications

• 3+ years of experience in designing multi-component ML systems.
• Strong grasp of Python or other high-level languages.
• Solid understanding of SQL and database design concepts.
• Knowledge of testing fundamentals and quality assurance.
• Excellent communication skills across teams.
• Experience in managing and executing technology products.
• familiarity with Gen AI approaches and agentic architectures.

Responsibilities

• Design, develop, and maintain scalable ML systems and APIs.
• Deploy and manage models including transformer-based LLMs in production.
• Collaborate with infrastructure teams to optimize ML workflows.
• Build robust data pipelines for ML datasets.
• Work with data scientists and researchers to integrate ML solutions.
• Optimize ML algorithms and system performance.
• Create and maintain documentation for ML systems, APIs, and data pipelines.

Skills

Python

SQL

Testing fundamentals

Communication

Product management

Gen AI

Langgraph

Docker

Tools

Docker

Job description

Responsibilities

• ML System Development: Design, develop, and maintain scalable and efficient machine learning systems, including writing ML services and APIs.
• Model Deployment: Implement and manage the deployment of machine learning models, including transformer based LLMs, into production environments, ensuring reliability and scalability.
• Infrastructure Management: Collaborate with infrastructure teams to optimize and manage the underlying systems supporting machine learning workflows.
• Data Pipeline Creation: Create robust and efficient data pipelines for collecting, processing, and preparing datasets for machine learning models.
• Collaboration: Work closely with data scientists, researchers, and cross-functional teams to integrate ML solutions into existing software infrastructure.
• Performance Optimization: Continuously optimize and improve the performance of machine learning algorithms and systems.
• Documentation: Develop and maintain documentation for machine learning systems, APIs, and data pipelines to ensure clarity and ease of use for team members.

Our ideal candidates would

• 3+ years of experience including working on designing multi-component systems
• Strong grasp of one high-level language like Python.
• General awareness of SQL and database design concepts
• Solid understanding of testing fundamentals
• Strong communication skills
• should have prior experience in managing and executing technology products.
• Decent understanding of various Gen AI based ML approaches
• Experience in building agentic architectures using langgraph or similar libraries

Bonus

• Prior experience working with high-volume, always-available web-applications
• Experience working with cloud
• Knowledge of cloud platforms such as AWS, GCP, or Azure.
• Experience with deploying small and big open source LLMs in production environments using containerization tools like Docker
• Experience in Distributed systems.
• Experience working with Start-up is a plus point.