Senior Software Engineer - Python AI Pipelines

code-metalRemote — Boston, Massachusetts, United States

Remote Full-time

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Experience Level

Senior

Qualifications

Essential QualificationsMinimum of 5 years of professional software development experience in your preferred programming language. Extensive expertise in Python as well as familiarity with at least one additional backend language; knowledge of C++ or Rust is a plus. Proven track record in enterprise-level software development and delivering high-quality solutions to a large user base. Strong foundation in core software development practices including version control, code reviews, testing, continuous integration, build systems, and release pipelines. Experience with Machine Learning frameworks or tools. Skilled in developing scalable APIs (REST, GraphQL, or gRPC). Practical experience with Docker and containerized workflows. Desirable QualificationsExperience with AI/LLMs in production environments. Familiarity with compilers or static analysis tools. Experience with workflow orchestration, message queuing systems (e.g., Kafka, RabbitMQ, Redis, Celery), or state machine design. Exposure to cloud platforms like AWS, GCP, or Azure. Knowledge of tools such as PromptFlow or other workflow automation systems.

About the job

Join Our Team as a Senior Software Engineer – Python AI Pipelines

At code-metal, we are pioneering the development of next-gen transpilation tools that harness the power of AI and cutting-edge verification techniques. Our mission is to seamlessly connect algorithm development with deployment on embedded systems.

In this pivotal role, you will collaborate with a team of seasoned engineers and domain experts to create innovative code generation pipelines. You will utilize Generative AI, Static Analysis, and Formal Verification methods to facilitate the translation of code across different programming languages.

Develop sophisticated AI-driven pipelines, incorporating complex workflows through state machines, message queues, and distributed systems.
Construct robust, scalable, and thoroughly tested codebases for code translation solutions.
Leverage Docker for containerized services in both local development and deployment environments.
Integrate formal verification and static analysis methodologies into the pipeline in partnership with domain specialists.
Contribute to distributed and cloud-based architectures enhancing reliability and scalability.

About code-metal

code-metal is at the forefront of developing innovative software solutions that leverage AI and advanced verification techniques, aiming to revolutionize the way algorithms are deployed in embedded systems.

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