AI Engineer (Columbus)Aptino, Inc. • Columbus, Ohio Metropolitan Area, United States
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AI Engineer (Columbus)
Aptino, Inc. • Columbus, Ohio Metropolitan Area, United States
[job_card.1_day_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Bachelors or Masters degree in Computer Science, Engineering, AI / ML, or related field. 26 years of experience as an AI Engineer / ML Engineer / Python Developer. Strong programming proficiency in Python and related libraries (FastAPI, Flask, Pandas, NumPy). Hands-on experience with OpenAI APIs , including GPT models, Assistants, Function Calling, Fine-tuning, and Embeddings. Experience building LLM-based applications , such as chatbots, RAG systems, classification tools, automation agents, or content generation engines. Familiarity with vector databases (Pinecone, ChromaDB, FAISS, Weaviate). Knowledge of cloud platforms ( AWS, Azure, GCP ) and containerization (Docker). Understanding of ML fundamentals : NLP, model evaluation, prompt engineering. Strong problem-solving, analytical, and communication skills.
Role : AI Engineer - Open API
Location : Columbus, OH (Onsite)
Duration : 12 months
We are looking for a skilled AI Engineer with strong expertise in OpenAI technologies, Python development, and building AI-driven applications . The ideal candidate should have hands-on experience in designing, developing, and deploying LLM-based solutions, integrating OpenAI APIs, and working with machine learning pipelines.
Key Responsibilities
- Design, develop, and implement AI / LLM-based solutions using OpenAI models (GPT, Embeddings, Assistants, Vector Stores, Fine-tuning) .
- Build robust, scalable Python applications integrating OpenAI APIs and other GenAI frameworks.
- Develop end-to-end pipelines for prompt engineering, data preprocessing, model evaluation, and deployment .
- Collaborate with product and engineering teams to identify AI use cases and deliver production-ready solutions.
- Optimize model performance, latency, and cost using best practices.
- Create tools, scripts, and automations for AI workflows (e.g., embeddings, RAG systems, chatbots).
- Ensure AI systems follow security, compliance, and ethical guidelines.
- Maintain documentation, architecture diagrams, and code quality standards.
Required Skills & Qualifications
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