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Senior AI/ML Engineer*

Egen
Remote, USA
Full-time
Senior Level
Remote
USD 140000-210000 yearly
Discovered 1 weeks ago
Free

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Full Job Posting

  • 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
  • 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
  • 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
  • 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

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