Artificial Intelligence Engineer

About the Company

Their approach is insight-driven, sector-agnostic, and impact-oriented. Backed by strong media relationships and deep expertise in brand storytelling, they enable organizations to connect meaningfully with audiences, shape perceptions, and stay ahead of the curve.

From strategic media outreach and reputation management to content-led PR and integrated campaigns, their team is dedicated to delivering outcomes that truly matter.

Qualifications & Skills:

· Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models.

· Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX).

· Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve).

· Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques.

· Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace.

· Understanding of prompt engineering, LLM fine-tuning, and agent-based automation.

· Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team.