Senior AI Engineer

Job OverviewWe seek a Senior AI Scientist with strong ML fundamentals and data engineering expertise to lead the development of scalable AI/LLM solutions. You will design, fine-tune, and deploy models (e.g., LLMs, RAG architectures) while ensuring robust data pipelines and MLOps practices.

Key Responsibilities
1. AI/LLM Development:
o Fine-tune and optimize LLMs (e.g., GPT, Llama) and traditional ML models for production.
o Implement retrieval-augmented generation (RAG), vector databases, and orchestration tools (e.g., LangChain).
2. Data Engineering:
o Build scalable data pipelines for unstructured/text data (e.g., Spark, Kafka, Airflow).
o Optimize storage/retrieval for embeddings (e.g., pgvector, Pinecone).
3. MLOps & Deployment:
o Containerize models (Docker) and deploy on cloud (AWS/Azure/GCP) using Kubernetes.
o Design CI/CD pipelines for LLM workflows (experiment tracking, monitoring).
4. Collaboration:
o Work with DevOps to optimize latency/cost trade-offs for LLM APIs.
o Mentor junior team members on ML engineering best practices.

Required Skills & Qualifications

1. Education: MS/PhD in CS/AI/Data Science (or equivalent experience).
2. Experience: 6+ years in ML + data engineering, with 2+ years in LLM/GenAI projects.