AI Engineer: Build Conversational AI & Tool-Calling

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

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.