Code Metal

Principal Software Engineer - Python

Reposted 20 Days Ago

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Boston, MA

In-Office

Senior level

Artificial Intelligence

The Role

The role involves architecting and implementing AI-enabled code generation pipelines, managing complex workflows, and collaborating on software design to enhance deployment to embedded systems.

Summary Generated by Built In

Job Title

Principal Software Engineer - Python AI Pipelines

Overview

We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques that promises to bridge the gap between algorithm development and deployment to embedded systems.

In this role you will play a lead role in architecting and implementing novel code generation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate code written in one language to another.

Requirements

Responsibilities

● Define Software Architecture for Agentic AI pipelines. Architect and implement complex workflows involving state machines, message queues, and distributed processing.

● Deploy and manage containerized services using Docker.

● Build well tested extensible code foundations for code translation products.

● Collaborate with domain specialists to incorporate formal verification and static analysis methods into code generation pipeline.

● Work with cloud services and distributed architectures to ensure high availability.

Must Have

● Seven or more years of experience with collaborative enterprise-level software development in Python to deliver products to a large customer base

● Demonstrated experience gathering requirements from stakeholders and distilling them into software designs

● Demonstrated experience planning and executing on large projects in a team-based setting

● Demonstrated history of building and delivering robust software by employing best practices throughout the SDLC process, including Code review, Testing, Continuous integration, Release management and Build systems

● Experience with Machine Learning Tools and Frameworks

● Expertise in building scalable APIs (REST, GraphQL, gRPC).

● Hands-on experience with Docker and containerized application development.

Great to Have

● Strong experience with workflow orchestration, state machines, and message queues (e.g., RabbitMQ, Kafka, Redis, Celery).

● Familiarity with PromptFlow or similar workflow automation tools.

● Experience working with cloud-based distributed systems (AWS, GCP, Azure).