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Careerscape
Full-Time Remote Information Technology

Remote AI Engineer

Careerscape ?
View all jobs
349 applicants
Location
Remote, Georgia 30033
Salary (Annually)
$160,000 - $210,000
Experience
Mid-Senior
Posted
Apr 19
Location
Remote, Georgia 30033
Salary (Annually)
$160,000 - $210,000
Experience
Mid-Senior
Posted
Apr 19
Remote AI Engineer

About the Role

Careerscape is recruiting a Remote AI Engineer for our client — a fast-scaling technology company based in Atlanta. This 100% remote opportunity is ideal for a builder-minded ML practitioner who thrives at turning cutting-edge AI research into real, production-ready software. If you love shipping LLM-powered products, architecting retrieval systems, and making AI agents actually work in the wild — let's talk.

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Key Responsibilities

  • Design, build, and deploy production-grade AI systems powered by large language models (LLMs) including GPT, Claude, Gemini, and open-source models like Llama and Mistral
  • Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Pinecone, Weaviate, Chroma, or pgvector
  • Build and orchestrate agentic AI workflows using frameworks like LangChain, LlamaIndex, LangGraph, or CrewAI
  • Fine-tune, evaluate, and optimize foundation models using techniques including LoRA, QLoRA, RLHF, and supervised fine-tuning
  • Develop robust evaluation frameworks and AI observability systems to measure model quality, hallucination rates, and production performance
  • Design and implement prompt engineering strategies, including few-shot prompting, chain-of-thought reasoning, and structured output generation
  • Integrate AI capabilities into existing products through APIs, SDKs, and microservices
  • Collaborate with product, data science, and engineering teams to translate business requirements into scalable AI solutions
  • Deploy and monitor AI workloads on AWS SageMaker, Azure ML, Google Vertex AI, or Hugging Face Inference Endpoints
  • Implement MLOps best practices including model versioning, CI/CD for ML, A/B testing, and automated retraining pipelines
  • Stay current with emerging AI research, open-source models, and industry best practices in generative and agentic AI

Requirements

  • 3+ years of experience as an AI engineer, machine learning engineer, or applied ML researcher
  • Strong proficiency in Python and modern ML libraries including PyTorch, TensorFlow, and Hugging Face Transformers
  • Hands-on experience building production applications with LLMs via OpenAI, Anthropic, Google, or open-source model APIs
  • Demonstrated experience building RAG systems, including document chunking, embeddings, vector search, and reranking
  • Working knowledge of at least one agent framework (LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI)
  • Experience with vector databases and semantic search implementations
  • Familiarity with cloud AI platforms — AWS, Microsoft Azure, or Google Cloud Platform
  • Understanding of MLOps tooling such as MLflow, Weights & Biases, Kubeflow, or SageMaker Pipelines
  • Experience with containerization (Docker) and API frameworks (FastAPI, Flask)
  • Strong grasp of software engineering fundamentals — version control, testing, code review, system design
  • Relevant credentials are a plus: published ML research, open-source contributions, AWS/Azure/GCP ML certifications, or a portfolio of shipped AI projects
  • Ability to work independently in a fully remote environment and communicate technical concepts to non-technical stakeholders
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Benefits & Perks

  • Competitive salary with bonus and equity opportunity
  • Medical, dental, and vision insurance
  • Flexible PTO and paid holidays
  • Fully remote with flexible scheduling
  • 401(k) with employer match
  • Annual learning & development budget including GPU credits, conference attendance, and certifications
  • Access to premium AI tools and API credits (OpenAI, Anthropic, and more)
  • Home office stipend and top-tier equipment provided
  • Team offsites and virtual collaboration culture
  • Clear career path into Senior AI Engineer, Staff AI Engineer, AI Tech Lead, or Head of AI roles

Ready to Apply?

Join Careerscape and take the next step in your career

Application Status Active
Positions Available 1
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