Seeking a Senior Software Engineer to develop AI-powered transpilation tools. Responsibilities include building scalable pipelines, integrating verification techniques, and collaborating on cloud-based architectures.
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
Code Metal Boston, Massachusetts, USA Office
Boston, MA , United States
Similar Jobs
Automotive
The Senior Software Engineer will build a large-scale data ingestion and classification system using web scraping, data processing, and search technologies, overseeing data extraction from various sources and developing search capabilities.
Top Skills:
AirflowAWSElasticsearchKubernetesOcrOpensearchPythonScrapySpark
Database • Analytics
As a Senior Software Engineer, you'll enhance ClickHouse's Python integrations, drive AI integration strategies, and collaborate with open-source communities, requiring deep expertise in data engineering and AI applications.
Top Skills:
Apache AirflowDagsterDbtLangchainLlamaindexN8NNumpyPandasPrefectPydanticPython
Artificial Intelligence • Information Technology • Consulting
Join Provectus as a Senior Software Engineer or Solutions Architect to lead AI projects, engage with clients, and design integrated Python solutions across AI and cloud infrastructure.
Top Skills:
AnthropicAWSAws BedrockCi/CdDjango RestDockerFastapiFlaskGenerative AiGoKubernetesNode.jsOpenaiPythonReactRustVue
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
