Senior AI Engineer

What You Will Do:

Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud

Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using Google Cloud Vector Search or Pinecone

Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance

Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks

Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques

Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved

Your Technical Toolkit:

Core Languages : Mastery of Python and shell scripting

AI/LLM Ecosystem : Extensive experience with Google Gemini, GPT-4, or LLaMA; deep knowledge of Prompt Engineering and Fine-tuning

Data & Search : Expertise in Vector Databases (Vertex AI Vector Search, pgvector, etc.) and implementing Semantic Search

Infrastructure : Hands-on experience with Google Cloud (Vertex AI) and building scalable software architectures

Frameworks : Proficiency in LangChain, LlamaIndex, or similar orchestration layers

Mindset: A strong software engineering foundation—you write clean, maintainable code and understand the full SDLC

Basic Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field

5+ years of experience in AI/ML

Proven track record of deploying GenAI products to a production environment

Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus

Knowledge of Data Engineering and SQL

Personal Attributes:

Ownership: You take pride in your code and see projects through from concept to deployment

Curiosity: The AI landscape changes weekly; you are a lifelong learner who stays ahead of the curve

Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value

Ethics: You prioritize responsible AI development and data privacy