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
Top Skills
AI
AWS
Azure
C++
Celery
Docker
GCP
GraphQL
Grpc
Kafka
Machine Learning
Python
RabbitMQ
Redis
Rest
Rust
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