Senior AI Engineer*
RemoteFull-TimeSeniorAI / Data Science
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 GCP 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 GCP (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.
- 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.
