Dentsu
BackendSoftwareEngineer(Python)
Neural analysis suggests this role is
optimal for Mid candidates.
“Backend Software Engineer (Python) at Dentsu. Skills: Python, API System Design, Orchestration, LLMs. Design, build, and deploy AI systems capabilities. Work cross-functionally with product managers, data scientists, and engineers”
What You'll Achieve.
drive business value; enhance our global products; achieve product goals
Industry & Context.
Balancing over engineering while preparing for future requests
What They're Looking For.
Must Have
Bachelor's degree in computer science, engineering, or related field, 2-4 years experience designing, maintaining, and testing enterprise grade RestAPIs, Expert Python skills, deep experience with concurrent systems (asyncio, tornado, celery etc), Demonstrated production experience complex long running processes that present and collect data, Experience with workflow orchestration tools (e. g. , Prefect, Airflow, Dagster), Experience with data persistence. Redis, Postgres, NoSQL, MongoDB, etc., Demonstrated production experience with monitoring enterprise systems, Ability to architect systems that are maintainable and extendable, Familiarity with LLMs – their APIs, performance challenges, and how to mitigate those (OpenAI, Anthropic, Cohere, etc. ), Proficiency with version tracking, Knowledge of containerization, DevOps tools, and CI/CD pipelines
Nice to Have
Kubernetes a plus
What You'll Do.
and deploy AI systems capabilities
Work cross-functionally with product managers
and test production grade Python APIs
Support data pipelines
and distributed systems
Design scalable systems for easy development
Design robust systems for long running processes
Ensure errors are routed for proper triaging
Design/maintain high quality automated tests
Consider data governance and cyber security practices
How You'll Work.
Team & Collaboration
Work cross-functionally with product managers, data scientists, and engineers; Work with technical stakeholders to design scalable systems; Create implementation plans teams can work against
Process & Methodology
Create implementation plans
Full Job Description
**Job Description:** **About Us** We are a leading global media agency, shaping the future of content, advertising, and audience engagement across platforms. Our product organization powers innovative solutions for clients worldwide, leveraging data, technology, and creativity. **Role Overview** As a backend software engineer, you will design, build, and deploy AI systems capabilities that drive business value and enhance our global products. You will work cross-functionally with product managers, data scientists, and engineers to design and deliver AI systems for content personalization, audience analytics, creative optimization, and more. **Key Responsibilities** * API System Design: Architect, develop, and test production grade Python APIs for media products. * Orchestration: Support data pipelines, background jobs, and distributed systems that interact with AI models. * Collaboration: Work with technical stakeholders to design scalable systems for easy development, deployment, and monitoring of systems. Create implementation plans teams can work against to achieve product goals. * Deployment & Scaling: Design and robust systems for long running processes. Databases, caching, retry logic, fall back behavior, etc. Ensure errors are routed for proper triaging * Robust Testing: Design/maintain high quality automated tests and manual stress/quality testing frameworks for AI systems. * Ethics & Compliance: Consider data governance and cyber security practices. Ensuring fairness, transparency, and compliance with regulations. **Requirements** * Bachelor's degree in computer science, engineering, or related field. * 2-4 years experience designing, maintaining, and testing enterprise grade RestAPIs. * Expert Python skills, deep experience with concurrent systems (asyncio, tornado, celery etc). * Demonstrated production experience complex long running processes that present and collect data * Experience with workflow orchestration tools (e.g., Prefect, Airflow, Dagster).
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