Agentic Backend Engineer

About Toluna

Toluna is the global research and insights leader that enables businesses to make smarter, data-driven decisions – faster. For 25 years, we have partnered with the world’s leading brands, delivering transformative impact through our advanced technology platform, comprehensive solution portfolio, expansive global first-party panel, and world-class team of leading research experts. Since 2019, we’ve made significant investments in artificial intelligence to enhance automation, accelerate insight delivery, and unlock deeper understanding at scale. With 40+ offices worldwide, Toluna operates in 70+ countries, redefining the future of insights. Learn more at www.tolunacorporate.com

Introduction:

As a Back-end Developer at Toluna, you will be responsible for designing, developing, testing, and supporting scalable Python-based backend services and web components that are part of our web-based products. You will work closely with cross-functional teams across multiple locations, take end-to-end ownership of backend components and APIs, and contribute to the practical use of AI-assisted development tools and LLM-powered workflows to improve engineering productivity and deliver smarter product capabilities.

Requirements:

BSc/MSc in Computer Science and/or equivalent practical experience.

Strong understanding of data structures, algorithms, and software design principles.

Several years of Python experience in commercial or open-source software development.

Experience developing and designing large-scale, scalable backend systems.

Proven experience building scalable server-side architectures, APIs, and asynchronous services.

Experience with cloud environments such as AWS, Azure, or GCP.

Experience with CI/CD pipelines, serverless architectures, and modern backend deployment practices.

Familiarity with AI-assisted development tools such as GitHub Copilot, OpenAI Codex, Cursor, Claude, or similar tools.

Practical familiarity with LLM usage, including prompt design, working with LLM APIs, evaluating model outputs, and applying LLMs in development or product workflows.

Experience working with remote teams in an agile environment.

Strong communication skills, ownership mindset, and ability to collaborate across multiple teams.

High level of English, written and verbal.

Nice to have:

Experience with modern Python backend frameworks and tools such as FastAPI, Flask, Django, SQLAlchemy, Celery, or similar.

Experience building production-grade LLM features, automation, internal tools, or developer productivity workflows.

Familiarity with retrieval-augmented generation, embeddings, vector databases, agents, or LLM evaluation frameworks.

Experience with data processing and serverless data integration platforms such as Spark, AWS Glue, or similar.

Basic familiarity with frontend technologies such as JavaScript, React, HTML5, and CSS3.

Experience working with distributed systems, message queues, event-driven architecture, or microservices.

Show more

Show less