AI Engineer

LvisionAI is hiring an experienced AI Engineer to join a 100% remote team. This is a full-time, worldwide opportunity for an engineer with at least 3 years (36 months) of relevant professional experience building production software, AI/ML systems, generative AI applications, or related technology.

The position pays $50–$65 USD per hour. Candidates may apply worldwide if they are legally permitted to work remotely from their country of residence and can maintain regular working-hour overlap with New York / US Eastern Time (ET).

Responsibilities
• Design, build, test, deploy, evaluate, and improve production AI-powered applications and services.
• Build applications using large language models and generative AI technologies.
• Develop and improve retrieval-augmented generation pipelines, AI agents, multi-step workflows, APIs, automation, and related infrastructure.
• Integrate commercial and open-source AI models into production systems.
• Build secure, maintainable APIs and backend services.
• Design document ingestion, chunking, embeddings, retrieval, semantic search, and data workflows.
• Develop evaluation processes for response quality, retrieval quality, reliability, latency, scalability, and cost.
• Implement validation, logging, monitoring, and error handling.
• Collaborate with engineering, product, and other distributed stakeholders.
• Document architecture, integrations, workflows, decisions, and operational procedures.

Qualifications
• At least 3 years (36 months) of relevant professional engineering experience.
• Strong proficiency with Python.
• Practical experience building AI, machine-learning, generative-AI, or LLM-powered applications.
• Experience with REST APIs, SDKs, webhooks, databases, and data-processing workflows.
• Strong software-engineering fundamentals, including testing, version control, debugging, and maintainable code.
• Strong analytical, problem-solving, written communication, and technical-documentation skills.
• Ability to work independently and collaborate in a distributed remote team.

Helpful experience includes RAG, AI agents, LLM APIs, open-source models, embeddings, semantic search, vector databases, prompt engineering, AI evaluation frameworks, FastAPI, SQL, Docker, CI/CD, cloud infrastructure, PyTorch or TensorFlow, model observability, AI guardrails, MCP, and workflow automation. Candidates are not expected to have every listed technology.

A relevant bachelor’s degree is preferred. Equivalent practical engineering experience and a strong portfolio of production AI work may also be considered.

Remote conditions
This is a 100% remote position with no office attendance, relocation, or travel required. Candidates need a reliable development computer, stable high-speed internet, a suitable professional work environment, and reliable communication during required hours. Selected candidates will complete 7 days of remote onboarding and training.

Applications are submitted online through WorkinVirtual. Candidates should provide accurate information about their engineering and AI/LLM experience, technical skills, location, work authorization, and ability to overlap with US Eastern Time. Relevant GitHub, portfolio, or deployed-application links may be included where available.