METRUM AI
CAREERS
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Applied AI Junior Software Engineer
Metrum AI is hiring an Applied AI Junior Software Engineer with 2-3 years of Python experience and foundational knowledge in machine learning, particularly with LLMs and retrieval-augmented generation (RAG). You'll collaborate closely with senior developers, contributing to AI-driven projects, data pipelines, and automation efforts. Experience with Go, Rust, or web technologies (React, Next.js) is a plus.
Responsibilities
- Collaborate with cross-functional teams to develop Python applications in AI and data processing.
- Apply LLM and RAG techniques for innovative data solutions.
- Build and optimize data workflows using NumPy and Pandas.
- Develop, containerize, and deploy Python applications using Docker in Linux environments.
- Use Git for version control, with collaboration on pull requests and code reviews.
- Write and maintain shell scripts to automate tasks and improve infrastructure.
- Integrate RESTful APIs to expand and enhance application functionality.
- Debug and optimize Python applications for performance and scalability.
- Contribute to cloud deployment processes for Python applications.
Required
- Proficiency in Python, with solid experience in NumPy and Pandas.
- Familiarity with LLMs, RAG, embeddings, fine-tuning, and core machine learning principles.
- Experience with Git for version control.
- Basic understanding of Docker, Linux environments, and shell scripting.
- Knowledge of RESTful APIs and integration.
- Strong analytical skills, problem-solving abilities, and attention to detail.
- Effective verbal and written communication for team collaboration.
- Desire to learn and engage with new technologies and innovative solutions.
Nice to Have
- Knowledge of Go or Rust.
- Exposure to web UI development using React or Next.js.
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Experience with automation tools or CI/CD pipelines.
- Knowledge of computer vision tasks (e.g., object detection, image segmentation).
- Familiarity with multi-modal AI models that integrate vision, text, or other data types.
Applicants must have U.S. work authorization. Visa sponsorship is not available for this position.
Product Engineer - Distributed Automation Platform
Metrum AI is looking for a Product Engineer to lead the development of a distributed automation platform. This role is tailored for an engineer with strong Python expertise and a background in automation, workflow orchestration, and scalable system design. You'll work on building a platform that automates complex processes across distributed environments, enhancing efficiency and reliability for AI-driven applications.
Responsibilities
- Design and develop a scalable distributed automation platform, focusing on high performance, reliability, and ease of use.
- Build and orchestrate workflows with tools like Dagster, Celery, or similar frameworks to manage automated processes.
- Implement robust automation frameworks to support continuous, distributed task processing.
- Collaborate with engineering and data science teams to integrate automation within existing AI pipelines and infrastructure.
- Optimize data pipelines and workflows for seamless and reproducible automated operations.
- Document and maintain guides to support internal and external users in utilizing automation features effectively.
- Contribute to deployment, monitoring, and optimization within cloud environments, ensuring the platform's resilience and scalability.
- Support collaborative development using Git, participating in code reviews and pull requests.
Required
- Proficiency in Python, with experience in data pipeline and workflow development.
- Hands-on experience with automation tools and workflow orchestration (e.g., Dagster, Celery).
- Strong understanding of distributed systems, performance optimization, and scalability.
- Experience with Docker and cloud deployment processes.
- Proficiency with Git for version control, including collaborative code review practices.
- Excellent problem-solving skills, with attention to reliability, accuracy, and scalability.
- Strong communication skills to effectively collaborate across teams and convey technical concepts.
Nice to Have
- Experience in building distributed automation platforms or similar infrastructure projects.
- Exposure to additional workflow orchestration tools (e.g., Airflow).
- Familiarity with CI/CD pipelines and cloud platforms (AWS, GCP, Azure).
- Knowledge of multi-modal data processing and integrating various data sources.
- Front-end experience (React, Next.js) for potential user-facing automation features.
Applicants must have U.S. work authorization. Visa sponsorship is not available for this position.
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