Principal Software Engineer - Python

Strativ Group

Boston (MA)

On-site

USD 200,000 - 250,000

Full time

14 days+

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Job summary

Join a hypergrowth startup at the forefront of AI-driven software development! As a Principal Software Engineer, you'll spearhead innovative code generation and transpilation tools, bridging algorithm design with deployment on embedded systems. This role offers the chance to architect scalable workflows and optimize performance using cutting-edge technologies. Collaborate with domain experts to ensure reliability and effectiveness in real-world applications. If you're passionate about transforming software development through AI, this is the perfect opportunity for you!

Qualifications

7+ years in Python enterprise software development.
Proven ability to design and implement large-scale systems.
Hands-on experience with AI/ML tools and frameworks.

Responsibilities

Design and implement AI-driven code translation pipelines.
Develop scalable software for robust code generation solutions.
Deploy and manage containerized applications using Docker.

Skills

Python

AI/ML tools

API Development (REST, GraphQL, gRPC)

Docker

Software Best Practices

Tools

RabbitMQ

Kafka

Redis

Celery

PromptFlow

Job description

1 week ago Be among the first 25 applicants

This range is provided by Strativ Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Principal Software Engineer

We are currently partnered with a hypergrowth startup who build AI that revolutionizes the process of Edge Development. They are seeking an experienced software engineer to spearhead the development of cutting-edge AI-driven code generation & transpilation tools. This role focuses on bridging the gap between algorithm design and deployment on embedded systems by leveraging Generative AI, Static Analysis, and Formal Verification techniques.

As a Principal Engineer, you will design and implement sophisticated code generation pipelines, integrating state-of-the-art AI models with software verification methodologies. Your work will involve architecting scalable workflows, orchestrating distributed systems, and optimizing performance for real-world applications.

Key Responsibilities:

Design and implement AI-driven code translation pipelines, integrating state machines, message queues, and distributed processing.
Develop scalable, well-structured software for robust and extensible code generation solutions.
Deploy and manage containerized applications using Docker.
Collaborate with domain experts to incorporate formal verification and static analysis into the pipeline.
Ensure system reliability by leveraging cloud-based distributed architectures.

Required Skills & Experience:

7+ years of professional experience in Python-based enterprise software development.
Proven ability to design and implement large-scale software systems from concept to deployment.
Strong background in software best practices, including testing, CI/CD, and release management.
Hands-on experience with AI/ML tools and frameworks.
Expertise in building scalable APIs (REST, GraphQL, gRPC).
Proficiency in Docker and containerized application development.

Preferred Qualifications:

Experience with distributed processing, state machines, and message queues (e.g., RabbitMQ, Kafka, Redis, Celery).
Familiarity with workflow automation tools like PromptFlow.

This is an opportunity to work at the forefront of AI-powered software development, contributing to groundbreaking technology that transforms how code is generated and deployed. You will be leading key projects and will report directly to the SVP Engineering & Product.

Please apply ASAP for more info.

Seniority level