AI Developer

Intellivon; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

A tech-driven AI company is seeking a remote AI Engineer to design, build, and deploy advanced AI solutions. You'll work on next-gen AI features, optimizing models, and integrating capabilities into product APIs. Candidates should have strong Python skills, experience with AWS and container technologies, and a background in AI-powered applications. This position offers flexible work hours within a collaborative environment.

Benefits

Flexible work hours

Asynchronous collaboration

Mentorship opportunities

Qualifications

• Proven expertise in Python and relevant libraries for AI.
• Experience with cloud platforms like AWS and container tools like Docker.
• Familiarity with RESTful APIs and microservices architecture.

Responsibilities

• Design and maintain production-grade AI services and microservices.
• Fine-tune transformer models for optimization across workloads.
• Integrate AI features into product APIs and client-facing endpoints.

Skills

Python

PyTorch

TensorFlow

Transformers (Hugging Face)

LangChain

Docker

AWS

RESTful APIs

Tools

MLOps tooling (model registry, CI for models)

Kubernetes

Job description

Overview

We operate in the Artificial Intelligence and Software Development sector, delivering scalable AI-powered applications and automation for enterprise customers. This role sits at the intersection of generative AI, NLP, and cloud-native engineering, focused on moving research-grade models into reliable production services. Intellivon is hiring a remote AI Engineer based in the USA to design, build, and deploy advanced AI solutions that power product features and internal automation.

Role & Responsibilities

• Design, develop, and maintain production-grade AI services and microservices that power LLM and NLP features.
• Fine-tune, benchmark, and optimize transformer models for cost, latency, and accuracy across inference workloads.
• Implement robust inference pipelines and orchestration (batch and real-time) with observability and monitoring.
• Integrate AI capabilities into product APIs and client-facing endpoints; own API contracts and versioning.
• Containerize models and services, build CI/CD for model packaging, and collaborate on deployment to cloud environments.
• Partner with data scientists and product teams to translate research prototypes into scalable, well-tested features.

Skills & Qualifications

Must-Have

• Python
• PyTorch
• TensorFlow
• Transformers (Hugging Face)
• LangChain
• Docker
• AWS
• RESTful APIs

Preferred

• MLOps tooling (model registry, CI for models)
• Kubernetes
• Experience with prompt engineering and retrieval-augmented generation (RAG)

Benefits & Culture

• Remote-first, USA-based role with flexible work hours and asynchronous collaboration.
• Opportunity to work on cutting-edge generative AI products and influence model design and deployment standards.
• Fast-paced, learning-driven environment with mentorship and frequent cross-functional ownership.