Senior AI Engineer

Job Overview

We 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

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