Agentic AI Engineer

remotestar-team; Bengaluru; Sur place; INR 90 000 - 130 000; Plein temps

Résumé du poste

remotestar-team is seeking an experienced ML systems engineer in Bengaluru to design, develop, and deploy scalable ML solutions. You will work on APIs, ML services, and production-ready pipelines, collaborating with data scientists and cross-functional teams.

The ideal candidate has strong Python skills, experience with multi-component architectures, and a solid grounding in testing and data workflows, as well as familiarity with cloud and distributed environments.

Qualifications

• 3+ years of experience designing multi-component systems.
• Strong grasp of Python.
• SQL and database design concepts.
• Solid understanding of testing fundamentals.
• Strong communication skills.
• Experience managing and executing technology products.
• Decent understanding of various Gen AI based ML approaches.
• Experience building agentic architectures using langgraph or similar libraries.

Responsabilités

• Design, develop, and maintain scalable ML systems and APIs.
• Deploy ML models and transformer-based LLMs into production.
• Collaborate with infrastructure teams to optimize ML workflows.
• Create robust data pipelines for ML datasets.
• Collaborate with data scientists and engineers to integrate ML solutions.
• Continuously optimize ML algorithms and systems.
• Develop and maintain documentation for ML systems, APIs, and data pipelines.

Connaissances

Multi-component design

Python

SQL basics

Testing fundamentals

Communication

Tech product experience

Gen AI ML

Langgraph

Outils

Docker

Containerization

AWS

GCP

Azure

Description du poste

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.