egen - Lead AI Engineer
Requirements
• 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
Responsibilities
• 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
Benefits
• This role is eligible for our competitive salary and comprehensive benefits package to support your well-being: • Comprehensive Health Insurance • Paid Leave (Vacation/PTO) • Paid Holidays • Parental Leave • Bereavement Leave • 401 (k) Employer Match • Employee Referral Bonuses • Check out our complete list of benefits here - >https://egen.ai/people/#benefits • Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. • EEO and Accommodations:
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