AI Expert  

Job Summary : Fine-tune, deploy, and optimize AI models while ensuring high performance and continuous improvement based on user feedback. The ideal candidate will have experience in model training, pipeline deployment, and working with frameworks like Unsloth, LangChain, and LLM observability tools.

Job Responsibility :

• Fine-tune and optimize LLMs (Large Language Models) for chatbot applications and other NLP tasks
• Build and manage deployment pipelines using frameworks like LangChain, Unsloth, or equivalent
• Implement and manage LLM observability tools to monitor model behavior and health
• Optimize chatbot models for latency, token usage, accuracy, and relevance
• Translate business and user requirements into technical LLM capabilities
• Collaborate with Product, Data Science, and Engineering teams to ensure AI alignment across systems
• Contribute to internal AI development standards and share best practices with the wider architecture and engineering team

Job Challenge :

• Keeping up with rapid changes in LLM tooling and performance optimization
• Chatbot relevance and accuracy in multilingual financial use cases
• Ensuring balancing model size, response time, and cost
• Integrating open-source AI solutions securely into production systems
• Managing ethical concerns (bias, hallucination, compliance)

Technical Competency :

• Experience with LLM frameworks (e.g., LangChain, Unsloth, HuggingFace)
• Hands-on with model fine-tuning (e.g., LoRA, QLoRA, PEFT techniques)
• Deployment pipeline tools (Docker, FastAPI, Ray, Kubernetes)
• Experience with vector stores and embedding models (e.g., FAISS, Pinecone)
• Knowledge of LLM observability tools (e.g., Arize AI, Phoenix, WandB)
• Python, PyTorch, or TensorFlow proficiency
• Prompt engineering and retrieval-augmented generation (RAG)

Soft Competency :

• Strong problem-solving and critical thinking skills
• Curiosity and continuous learning in fast-evolving AI space
• Ability to communicate technical findings to non-technical stakeholders
• Team collaboration with product managers and developers
• Agile mindset and delivery-oriented execution

Job Specification :

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• 5–8 years in AI/ML, with proven experience fine-tuning and deploying LLM-based chatbot systems