AI Engineer

TransCore•Lower Paxton Township, PA

10d•Remote

About The Position

TransCore is seeking an AI Engineer to design, train, deploy, and support AI-enabled systems with a strong emphasis on process automation and intelligent chatbot solutions. This is a hands-on engineering role focused on practical implementation, model training, and operationalizing AI solutions across internal platforms. The ideal candidate is a self-motivated engineer who works independently, identifies problems without needing detailed direction, and develops pragmatic technical solutions. This role requires strong engineering judgment, an ownership mentality, and the ability to carry work forward from concept to execution. In addition, this role requires the ability to collaborate effectively with business units, communicate AI concepts in plain language to non-technical stakeholders, and help identify, scope, and implement AI-powered solutions that align with business needs. This position may be remote, with some travel required. Qualified candidates across the United States are encouraged to apply.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent experience
Strong Python engineering skills
Experience with automation, scripting, or workflow development
Experience training, tuning, or evaluating AI models or embeddings
Experience building or supporting automated chatbots
Comfort working in Linux and cloud-based environments
Strong troubleshooting and analytical skills

Nice To Haves

Hands-on work with LLMs (local or cloud-based)
Experience implementing RAG architectures
Familiarity with Ollama, LM Studio, Haystack, or similar frameworks
Experience with vector databases and AI query patterns
Exposure to enterprise AI governance and security considerations

Responsibilities

Design, build, train, and maintain AI-powered automation solutions
Develop and support automated chatbots and conversational AI systems
Partner with business units to understand operational challenges, translate business needs into AI-powered solutions, and communicate technical approaches and outcomes clearly to non-technical stakeholders
Train and fine-tune models, prompts, embeddings, and retrieval pipelines
Engineer RAG architectures for knowledge retrieval and automation workflows
Work with local LLM tooling such as Ollama and LM Studio
Build AI pipelines using Python, APIs, and structured data sources
Use frameworks such as Haystack and other emerging orchestration technologies
Design and integrate vector databases and AI-focused data storage solutions
Build automation and chatbot solutions using Microsoft Copilot Studio
Document architectures, automation workflows, chatbot behavior, and procedures
Troubleshoot and optimize AI and automation solutions
Operate independently with minimal oversight
Proactively identify inefficiencies and opportunities for automation
Translate ambiguous requirements into concrete technical deliverables
Demonstrate strong problem-solving and debugging skills
Take ownership of solutions end-to-end
Communicate complex technical concepts clearly and effectively to non-technical audiences, including business stakeholders and operational teams