Software engineer, AI retrieval - The Rundown AI : Job Details

About this Role

As a Software Engineer specializing in AI retrieval, you will design, implement, and optimize AI retrieval systems that power our platform. Collaborating with data scientists, product managers, and engineers, you will ensure seamless integration of AI models into applications, delivering fast and accurate results. A strong foundation in software engineering, AI, and machine learning is essential.

• Proficient in Python: Strong understanding of data types, string manipulation, type casting, and conversions.
• Functions: Experienced with calling functions, using default/variable arguments, and lambda functions.
• Virtual environments: Familiar with tools like venv, virtualenv, pipenv, and poetry.
• File handling: Skilled in reading, writing, and manipulating files in Python.
• Error handling: Expert in managing exceptions for robust code.
• Data models: Knowledgeable in designing and using data models.
• Logging and context managers: Proficient in maintaining code clarity and traceability.
• OOP concepts: Experienced with inheritance, method overriding, and Python's magic methods.
• Code formatting: Adheres to standards using black, isort, flake8, pylint.
• Testing: Background in unit testing, mocking, and integration testing.
• Versioning: Familiar with semantic versioning and changelogs.
• Data structures: Proficient with stacks, queues, priority queues (collections).
• Functional programming: Experienced with map, filter, reduce, generators, decorators.
• Async programming: Skilled in asyncio, aiohttp, async generators, wait_for.
• Concurrency: Understand threading vs multiprocessing and their trade-offs.
• Profiling: Proficient with tracemalloc, cProfile for performance optimization.
• API development: Experienced with REST and GraphQL APIs via FastAPI, Flask.
• Streaming and cancelable endpoints: Capable of implementing real-time features.

• Machine learning frameworks: TensorFlow, PyTorch, scikit-learn.
• NLP tools: spaCy, NLTK.
• Distributed systems: Kubernetes, Docker.
• Cloud platforms: AWS, GCP, Azure.
• Open source contributions: Personal projects or contributions.

Benefits & perks (US Full-time employees):

• Generous PTO and holidays
• Medical, dental, vision coverage
• Paid parental leave (12 weeks)
• Fertility and family planning support
• Early cancer detection via Galleri
• FSA and HSA options
• Work-life stipends (home setup, wellness, learning)
• Company off-sites
• Competitive compensation, stock options, 401k

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