AI Software Engineer (Mid-Level)

Full Scope; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Full Scope is seeking a talented Mid-Level AI Software Engineer to design and implement AI-driven applications in a San Francisco, CA environment. The role emphasizes building production-ready AI models, pipelines, and integrations with existing systems.

You will work with Python, Java, or C++, leveraging TensorFlow or PyTorch, and collaborate with data science, software, and product teams to deliver robust AI solutions. Strong problem-solving and communication skills are required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience as a Software Engineer with a focus on AI or machine learning.
• Strong proficiency in Python, Java, or C++.
• Experience with AI frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Solid understanding of ML algorithms, data structures, and software design principles.
• Experience with Pandas and NumPy, and data visualization tools like Matplotlib/Seaborn.

Responsibilities

• Design, develop, and implement AI models and algorithms for business problems.
• Collaborate with cross-functional teams to gather requirements and translate into solutions.
• Develop and maintain AI pipelines and infrastructure for model training, evaluation, and deployment.
• Integrate AI models into production systems and monitor performance.
• Conduct data preprocessing, feature engineering, and model evaluation.

Skills

Python

Java

C++

TensorFlow

PyTorch

Scikit-learn

Data processing with Pandas/NumPy

Problem solving

Team collaboration

Education

Bachelor’s or Master’s degree in CS/Engineering/Math

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Job description

Job Title:AI Software Engineer (Mid-Level)
Location:San Francisco, CA
Required Clearance: Secret
Salary:Competitive
We are seeking a talented and motivated Mid-Level AI Software Engineer to join our AI team. The ideal candidate will have a solid foundation in software engineering and a passion for applying AI techniques to solve complex problems. You will be responsible for designing, developing, and implementing AI-driven applications and systems that align with our strategic goals.

Key Responsibilities:

• Minimum 7 years' experience.
• Design, develop, and implement AI models and algorithms to address various business challenges.
• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
• Develop and maintain AI pipelines and infrastructure to support model training, evaluation, and deployment.
• Integrate AI models into production systems and monitor their performance.
• Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality outputs.
• Stay updated with the latest advancements in AI and machine learning and apply relevant techniques to projects.
• Participate in code reviews, team meetings, and contribute to a collaborative development environment.
• Document processes, models, and findings comprehensively.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience as a Software Engineer with a focus on AI or machine learning.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Experience with AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
• Solid understanding of machine learning algorithms, data structures, and software design principles.
• Experience with data processing tools like Pandas and NumPy, and data visualization tools such as Matplotlib or Seaborn.
• Strong problem‑solving skills and the ability to think critically and analytically.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Experience with natural language processing (NLP), computer vision, or reinforcement learning.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for AI model deployment.
• Knowledge of DevOps practices and tools like Docker, Kubernetes, and CI/CD pipelines.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Previous experience in a fast-paced, innovative environment.