Senior Software Engineer - Python

Boston, Massachusetts, United States - Remote

Code Metal

Automate your edge development with CodeMetal. Experience seamless coding and deployment from research to edge in your preferred language. Code with comfort, deploy with ease.

View all jobs at Code Metal

Apply now Apply later

Senior Software Engineer – Python AI Pipelines

We are looking for a Senior Software Engineer to help build a new generation of transpilation tools powered by AI and modern verification techniques. These tools aim to bridge the gap between algorithm development and deployment to embedded systems.

In this role, you will work closely with experienced engineers and domain specialists to implement innovative code generation pipelines that leverage Generative AI, Static Analysis, and Formal Verification methods to translate code from one language to another.

  • Contribute to the development of agentic AI pipelines, implementing complex workflows using state machines, message queues, and distributed systems.
  • Build robust, extensible, and well-tested code foundations for code translation products.
  • Work with containerized services using Docker for local development and deployment.
  • Integrate formal verification and static analysis techniques into the pipeline in collaboration with domain experts.
  • Contribute to distributed and cloud-based architectures for reliability and scalability.

Requirements

Must Have

  • 5+ years of production software development experience in your language of choice.
  • Deep knowledge of Python and at least one other backend programming language - bonus for C++ or Rust.
  • Strong experience in enterprise-level software development and delivering robust software to a large user base.
  • Demonstrated proficiency in core software development practices, including: version control, code review, testing, continuous integration, build systems and release pipelines
  • Experience working with Machine Learning tools or frameworks.
  • Proficiency in building scalable APIs (REST, GraphQL, or gRPC).
  • Hands-on experience with Docker and containerized workflows

Nice to Have

  • Experience working with AI/LLMs in production systems.
  • Familiarity with compilers or static analysis tools.
  • Experience with workflow orchestration, message queues (e.g., Kafka, RabbitMQ, Redis, Celery), or state machine design.
  • Exposure to cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with tools like PromptFlow or other workflow automation systems.

Benefits

Health care plan with 100% premium coverage, including medical, dental, and vision.

  • 401k with 5% matching.
  • Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays).
  • Flexible hybrid work arrangement.
  • Relocation assistance for qualifying employees.

All applicants must be eligible for TS/SCI

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Engineering Jobs

Tags: APIs Architecture AWS Azure Distributed Systems Docker GCP Generative AI GraphQL Kafka LLMs Machine Learning Pipelines Python RabbitMQ Rust Testing

Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Relocation support Salary bonus

Regions: Remote/Anywhere North America
Country: United States

More jobs like this