Forward Deployed Engineer – Software Development Engineer – Artificial Intelligence, AI

Jobtailor; California (MO); On-site; USD 90,000 - 140,000; Full time

Job summary

Jobtailor is seeking an experienced AI software engineer to design, develop, and deploy AI-enabled enterprise solutions. You will work with product and data science teams to translate requirements into scalable software using Python and modern AI frameworks.

The role emphasizes secure, maintainable code, CI/CD pipelines, and collaboration across engineering disciplines to deliver high-impact AI capabilities.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, AI, ML, Data Science, or related field.
• Typically 3–5 years of professional software development experience, including enterprise or AI-enabled software.
• Experience with Python and one or more languages such as Java, C#, C++, or JavaScript/TypeScript.
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, OpenAI APIs, Azure OpenAI, or Amazon Bedrock.

Responsibilities

• Design, develop, test, deploy, and maintain AI-enabled software apps, ML services, APIs, and enterprise solutions.
• Develop software leveraging AI, ML, Generative AI, LLMs, RAG, and other AI capabilities to improve processes and UX.
• Collaborate with Product, Data Science, Engineering, and stakeholders to translate requirements into scalable solutions.
• Implement high-quality, secure software following standards.

Skills

Python programming

Java

C#

C++

JavaScript/TypeScript

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face

LangChain

OpenAI APIs

Azure OpenAI

Amazon Bedrock

Job description

Responsibilities:

• Design, develop, test, deploy, and maintain AI-enabled software applications, machine learning services, APIs, and enterprise software solutions.
• Develop software that leverages artificial intelligence, machine learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other modern AI capabilities to improve business processes and user experiences.
• Collaborate with Product Management, Data Science, Engineering, and business stakeholders to translate functional requirements into scalable technical solutions.
• Implement high-quality, maintainable, and secure software following established software engineering, AI development, and coding standards.
• Contribute to AI model integration, prompt engineering, model evaluation, testing, monitoring, and deployment activities.
• Participate in software architecture discussions, design reviews, code reviews, and technical planning sessions.
• Troubleshoot, analyze, and resolve moderately complex software, AI, integration, and platform issues.
• Develop automated tests, CI/CD pipelines, and deployment processes to improve software quality and delivery efficiency.
• Evaluate new AI frameworks, libraries, cloud services, and engineering tools to improve development productivity and product capabilities.
• Contribute to technical documentation, design specifications, user training, knowledge sharing, and engineering best practices.
• Partner with Quality, Regulatory, Security, Privacy, and Compliance teams to support secure, reliable, and compliant software development.
• Support production operations, incident response, defect resolution, and continuous improvement initiatives.
• Participate in cross-functional AI and software engineering initiatives.
• Learn and adopt emerging AI technologies, software frameworks, and engineering practices.
• Support enterprise modernization and automation initiatives.
• Contribute to special projects or temporary assignments as needed.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Typically 3–5 years of professional software development experience, including experience developing enterprise applications or AI-enabled software solutions.
• Experience with software development using Python and one or more programming languages such as Java, C#, C++, or JavaScript/TypeScript.
• Experience working with AI or machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, OpenAI APIs, Azure OpenAI, Amazon Bedrock, or similar technologies is preferred.
• Working knowledge of cloud computing platforms (AWS, Azure, or GCP), APIs, microservices, containers, and modern software development practices.
• Experience with CI/CD pipelines, source control systems, Agile development methodologies, and automated testing.
• Familiarity with databases, data engineering concepts, REST APIs, and software integration.
• Experience working in healthcare, biotechnology, diagnostics, life sciences, or regulated environments is preferred.
• Working knowledge of applicable security, privacy, and regulatory requirements relevant to software development, including:
• Cybersecurity fundamentals and secure software development practices
• HIPAA and protection of sensitive data
• FDA-regulated software environments, software validation, and data integrity principles (preferred)
• Solid software engineering skills with the ability to develop scalable, maintainable, and reliable software solutions.
• Working knowledge of artificial intelligence, machine learning, Generative AI, and modern AI development techniques.
• Strong analytical and problem-solving skills with the ability to troubleshoot technical issues independently.
• Effective collaboration skills with cross-functional engineering, product, and business teams.
• Strong written and verbal communication skills with the ability to explain technical concepts clearly.
• Ability to learn new technologies quickly and adapt to changing business priorities.
• Demonstrates ownership, accountability, and commitment to delivering high-quality software.
• Continuous learning mindset with interest in emerging AI technologies and engineering best practices.

Core Competencies

Demonstrates expertise in developing AI-enabled software applications and machine learning services, with a strong focus on secure and compliant software development practices. Proficient in leveraging modern AI frameworks and cloud platforms to enhance business processes and user experiences.