AI Engineer

Lorven Technologies Inc
Columbus, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Columbus, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Software Applications
Azure
Continuous Integration
Distributed Computing Environment
Github
Monitoring of Systems
Python
Machine Learning
NoSQL
Performance Tuning
TensorFlow
Software Engineering
SQL Databases
Google Cloud Platform
PyTorch
Flask
Large Language Models
Prompt Engineering
Spark
Model Validation
Generative AI
FastAPI
AI Platforms
Scikit Learn
Kubernetes
Machine Learning Operations
REST
Data Pipelines
Docker
Jenkins
Databricks

Job description

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have hands-on experience building and deploying AI/ML solutions, developing LLM-powered applications, and working with modern cloud platforms in an enterprise environment.

Requirements

  • 10+ years of software engineering experience with 3+ years in AI/ML development.
  • Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Hands-on experience with Generative AI, LLMs (OpenAI, Anthropic, Llama, etc.), LangChain, and RAG architectures.
  • Experience building AI-powered applications using vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.).
  • Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning.
  • Experience with AWS, Azure, or Google Cloud Platform AI services.
  • Expertise in developing REST APIs using FastAPI or Flask.
  • Experience with SQL/NoSQL databases and data pipelines.
  • Familiarity with Docker, Kubernetes, CI/CD, and MLOps practices.
  • Strong understanding of software design, scalable architectures, and Agile methodologies.
  • Excellent communication and stakeholder management skills.

Preferred Skills

  • Banking or Financial Services experience.
  • Experience with AI governance, model monitoring, and responsible AI.
  • Knowledge of Spark, Databricks, or distributed data processing.
  • Experience with GitHub Actions, Jenkins, or Azure DevOps.

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