Staff AI Software Engineer

Jobtailor

California (MO)

On-site

USD 170,000 - 210,000

Full time

38 hours ago

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Job summary

Jobtailor seeks a senior AI/ML software engineer to design, develop, and deploy state-of-the-art AI/ML applications across development and production environments. You will collaborate with AI/ML and software engineers to deliver high-quality, scalable solutions that integrate across teams and disciplines.

The role emphasizes rapid prototyping, software engineering best practices, and hands-on work with LLMs, NLP/NLU/NLG, and vision tasks.

Qualifications

Bachelor's Degree in Computer Science or STEM from an accredited university with 12 years of experience; OR Master's Degree with 10 years of experience; OR PhD Degree with 8 years of experience
Experience with AI models and algorithms, including LLMs, DNN, genetic algorithms, embedding models, or deep learning
Experience using and deploying AI LLM tools, including coding assistants, infrastructure, or similar tools
Experience working in large code bases containing multiple languages, such as monorepos
Experience developing requirements and working with software in integration, requirements verification, and testing environments
Ability to carry out rapid prototyping and proof-of-concept demonstrations
Understanding of software engineering best practices, including source control and software architecture
Active US Government Secret clearance with a background investigation within the past 6 years or enrollment in Continuous Evaluation
U.S. Citizenship required for positions with a government clearance
Familiarity with AI models and their limitations
Familiarity with DevOps/DevSecOps/MLOps concepts
Proficient in Python, C++, and Java
Familiarity with Linux-based operating systems
Demonstrated ability to work independently
Experience with LLMs, including prompt engineering, LLM development frameworks, fine tuning, or quantization
Ability to obtain and maintain US Government Top Secret clearance
Robust history of research excellence, such as peer-reviewed publications or significant contributions to open-source ML libraries

Responsibilities

Design, develop, document, test, debug, and deploy state-of-the-art AI/ML applications
Collaborate with AI/ML and software engineers
Collaborate with cross-functional teams to deploy AI/ML solutions in development and production environments
Design and develop requirements for software development and software testing environments
Develop sustainable quality products
Support advanced AI capabilities including LLMs, NLP, NLU, NLG, AI-based decision-making, sensor fusion, data fusion, computer vision, and image processing

Skills

Independent work

Cross-functional collaboration

Rapid prototyping

Problem solving

Education

Bachelor's degree in Computer Science or STEM

Master's degree in Computer Science or STEM

PhD in Computer Science or STEM

Tools

Python

C++

Java

Linux

LLM Tools

Git / Source Control

DevOps/DevSecOps/MLOps

Job description

Design, develop, document, test, debug, and deploy state-of-the-art AI/ML applications
Collaborate with AI/ML and software engineers
Collaborate with cross-functional teams to deploy AI/ML solutions in development and production environments
Design and develop requirements for software development and software testing environments
Develop sustainable quality products
Support advanced AI capabilities including LLMs, NLP, NLU, NLG, AI-based decision-making, sensor fusion, data fusion, computer vision, and image processing

Requirements

Bachelor's Degree in Computer Science or a STEM discipline from an accredited university with 12 years of experience; OR Master's Degree with 10 years of experience; OR PhD Degree with 8 years of experience
Experience with AI models and algorithms, including LLMs, DNN, genetic algorithms, embedding models, or deep learning
Experience using and deploying AI LLM tools, including coding assistants, infrastructure, or similar tools
Experience working in large code bases containing multiple languages, such as monorepos
Experience developing requirements and working with software in integration, requirements verification, and testing environments
Ability to carry out rapid prototyping and proof-of-concept demonstrations
Understanding of software engineering best practices, including source control and software architecture
Active US Government Secret clearance with a background investigation within the past 6 years or enrollment in Continuous Evaluation
U.S. Citizenship required for positions with a government clearance
Familiarity with AI models and their limitations
Familiarity with DevOps/DevSecOps/MLOps concepts
Proficient in Python, C++, and Java
Familiarity with Linux-based operating systems
Demonstrated ability to work independently
Experience with LLMs, including prompt engineering, LLM development frameworks, fine tuning, or quantization
Ability to obtain and maintain US Government Top Secret clearance
Robust history of research excellence, such as peer-reviewed publications or significant contributions to open-source ML libraries

Core Competencies

Demonstrates expertise in designing and developing AI/ML applications, with a strong focus on LLMs, NLP, and software engineering best practices. Proven ability to collaborate across teams and deliver high-quality, sustainable AI solutions in both development and production environments.

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