Orcaworks.ai
AI / LLM Engineer OrcaWorks AI (Atlanta)
Orcaworks.ai, Atlanta, Georgia, United States, 30383
Location:
Hybrid / Atlanta, GA Experience Level:
Entry-level (Masters preferred)
About OrcaWorks AI At OrcaWorks AI, we specialize in the design and deployment of applied AI and LLM solutions that transform how businesses operate. Were seeking LLM Engineers excited to integrate intelligent models into production systems, experiment with context workflows, and enable next-gen automation.
Key Responsibilities Develop, fine-tune (lightweight), and evaluate LLMs for business and workflow automation use cases. Implement prompt engineering, retrieval-augmented generation (RAG), and context-aware AI pipelines. Integrate with agent frameworks (AutoGen, LangChain, CrewAI) and collaborate with backend teams on FastAPI-based services. Conduct model performance analysis, error tracking, and iterative improvements. Explore and operationalize open-source models (Llama, GPT, Mistral) in production environments.
Required Skills & Qualifications Masters degree (or Bachelors with equivalent experience) in AI, Computer Science, or ML. Strong grasp of transformer architectures, embeddings, and NLP concepts. Hands-on experience with Hugging Face Transformers, LangChain, and vector databases (Vespa, Pinecone, FAISS). Familiarity with FastAPI, SQLModel, and MLOps tools for deployment. Programming experience in Python (PyTorch/TensorFlow). Curiosity and drive to explore applied generative AI and orchestration workflows.
Hybrid / Atlanta, GA Experience Level:
Entry-level (Masters preferred)
About OrcaWorks AI At OrcaWorks AI, we specialize in the design and deployment of applied AI and LLM solutions that transform how businesses operate. Were seeking LLM Engineers excited to integrate intelligent models into production systems, experiment with context workflows, and enable next-gen automation.
Key Responsibilities Develop, fine-tune (lightweight), and evaluate LLMs for business and workflow automation use cases. Implement prompt engineering, retrieval-augmented generation (RAG), and context-aware AI pipelines. Integrate with agent frameworks (AutoGen, LangChain, CrewAI) and collaborate with backend teams on FastAPI-based services. Conduct model performance analysis, error tracking, and iterative improvements. Explore and operationalize open-source models (Llama, GPT, Mistral) in production environments.
Required Skills & Qualifications Masters degree (or Bachelors with equivalent experience) in AI, Computer Science, or ML. Strong grasp of transformer architectures, embeddings, and NLP concepts. Hands-on experience with Hugging Face Transformers, LangChain, and vector databases (Vespa, Pinecone, FAISS). Familiarity with FastAPI, SQLModel, and MLOps tools for deployment. Programming experience in Python (PyTorch/TensorFlow). Curiosity and drive to explore applied generative AI and orchestration workflows.