Software Engineer

Clarity AI
Spain
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Airflow Automation of Tests Cloud Computing Extract Transform Load (ETL) Data Systems Python (Programming Language) PostgreSQL MongoDB Software Engineering
+13 more
SQL Databases Workflow Management Systems Trunk-based Development Test-Driven Development (TDD) Retrieval-Augmented Generation Large Language Models Snowflake Prompt Engineering Backend Kubernetes Vertica Data Pipelines Docker

Job description

handle model training and deployment, while contributing to data pipelines, APIs, and infrastructure that support AI applications. Working as a Senior Software Engineer - Gen AI Team , you will be responsible for: Designing, developing, and maintaining data pipelines and services with a focus on simplicity, scalability, reliability, and performance. Writing high-quality, well-tested code using Python and SQL. Building and maintaining data pipelines (ETL/ELT) using tools like Airflow. Implementing comprehensive automated testing to ensure the quality and reliability of our data products. Participating in the design and architecture of our evolving data platform. Championing best practices for code and data quality and testing. Driving improvements in our development processes using Lean and Agile principles. Managing and scaling data products, ensuring they are meeting the evolving needs of the business. Remote / Hybrid 5+ years of experience as a Software Engineer, Backend engineer or

Requirements

Data Engineer. ~ Solid understanding of software engineering principles and best practices (e.g., Expertise in Python and SQL. ~ Proven experience in building and maintaining data pipelines in a cloud environment. ~ Experience with data modeling and schema design. ~ A strong testing mindset and a commitment to writing automated tests (unit, integration, end-to-end). ~ Docker, Kubernetes) and cloud platforms. ~ A product-oriented mindset and an interest in building data solutions that solve real business problems. ~ Excellent oral and written English communication skills (minimum C1 level-proficient user). ~ Familiarity with other data technologies such as DBT, Snowflake, Tinybird/ClickHouse, MongoDB, DuckDB or PostgreSQL. ~ Experience with orchestration tools such as Airflow, Dagster, etc. ~ Experience with TDD (Test-Driven Development) and Trunk-Based Development. ~ vector databases, embedding models, prompt engineering, fine-tuning, or retrieval-augmented generation). Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces. Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses. Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms.

About the company

Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets. We leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions. Together, we have established Clarity AI as a leading sustainability tech AI company backed by investors and strategic partners such as BlackRock, SoftBank, and Deutsche Börse , who believe in us and share our goals. We are looking for a Senior Software Engineer with a certain background in Data who will help us deliver the different parts of our production-ready product while co-designing and implementing an architecture that can scale up with the product and the company. This role will primarily focus on software engineering tasks, ensuring the scalability, reliability, and performance of our AI-driven systems. You will work closely with Machine Learning Engineers, who

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