AI Engineer

Jobtailor; Troy (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking an AI/ML engineer to integrate conversational AI features and build robust tool-calling for backend capabilities. You will design, implement, and evaluate LLM prompts and tool interfaces while collaborating with software engineers and data scientists.

The role emphasizes evaluation, model training, and deployment support within a cross-functional team, ensuring reliable AI-enabled applications across services.

Qualifications

• Bachelor’s degree in a related field or equivalent practical experience.
• Experience integrating large language models via APIs, including function/tool calling and JSON outputs.
• Foundation in machine learning and data science concepts (supervised learning, model evaluation, statistics).
• Working knowledge of Git and collaborative software development workflows.
• Strong problem-solving skills and ability to work on a cross-functional engineering team.
• U.S. person (ITAR/EAR) able to obtain and maintain a U.S. Government Secret clearance.
• Proficiency in Python and/or C#; both is a plus.
• Experience building chat/assistant interfaces or agentic systems.
• Familiarity with tool-calling/agent frameworks, RAG, vector databases.
• Experience defining evaluations or test harnesses to measure LLM/tool-calling reliability.
• Internship or project experience building and deploying models end-to-end.
• Exposure to APIs, testing, CI/CD, and containerization; GitLab usage.
• Familiarity with secure AI/compute environments.

Responsibilities

• Integrate conversational AI features into software applications, owning the experience end to end.
• Design, implement, and evaluate tool/function calling for reliable backend invocation.
• Write, test, and refine prompts; evaluate LLM and tool-calling accuracy.
• Build, train, and evaluate ML models for classification, prediction, and simulation.
• Collaborate with software engineers to integrate AI capabilities into services.
• Use Git for version control and contribute to shared repositories.
• Document work and communicate results clearly to technical and non-technical stakeholders.
• Support deployment, testing, and iteration of AI capabilities with the engineering team.

Skills

API integration

Tool calling

Python

C# proficiency

LLMs / prompts

Git workflows

Cross-functional teamwork

Documentation

Education

Bachelor's degree or equivalent in CS/DS/Engineering

Tools

GitLab

APIs

CI/CD

Containerization

Job description

Responsibilities

• Integrate conversational AI assistant features into software applications, owning the experience end to end
• Design, implement, and evaluate tool/function calling so AI assistants can reliably invoke backend capabilities and return correct, useful results
• Write, test, and refine prompts; evaluate and improve the accuracy and effectiveness of LLM and tool-calling behavior
• Build, train, and evaluate machine learning models for classification, prediction, and simulation tasks
• Collaborate with software engineers to integrate AI capabilities into applications and services
• Use Git for version control and contribute to shared team repositories
• Document your work and communicate results clearly to technical and non-technical stakeholders
• Support deployment, testing, and iteration of AI capabilities alongside the broader engineering team

Requirements

• Required Bachelor's degree in Computer Science, Data Science, Machine Learning, Engineering, Mathematics, or a related field, or equivalent practical experience
• Experience integrating large language models via APIs, including function/tool calling and structured (e.g., JSON) outputs
• Foundation in machine learning and data science concepts (supervised learning, model evaluation, statistics)
• Working knowledge of Git and collaborative software development workflows (version control, branching, code review)
• Strong problem-solving skills and the ability to work effectively on a cross-functional engineering team
• U.S. person (per ITAR/EAR) able to obtain and maintain a U.S. Government Secret clearance
• Preferred Strong proficiency in Python and/or C# (depth in either is welcome; both is a plus)
• Experience building chat/assistant interfaces or agentic systems, ideally in production
• Familiarity with tool-calling/agent frameworks, retrieval-augmented generation (RAG), and vector databases
• Experience defining evaluations or test harnesses to measure and improve LLM and tool-calling reliability
• Internship, academic, or project experience building and deploying models or AI features end-to-end
• Exposure to software engineering fundamentals: APIs, testing, CI/CD, containerization
• Use of GitLab for issue tracking and software configuration management
• Familiarity with secure AI/compute environments