Senior AI Engineer
Egen
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- 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.
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.
Benefits
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonLangChainLlamaIndexGCP Vector SearchPineconeRAG (Retrieval-Augmented Generation)Semantic SearchMLOpsClassic Machine LearningSQL
Soft Skills
collaborationinnovationcustomer understandingfeature suggestionautomationproblem-solvingleadership
Certifications
Bachelor’s degreeMaster’s degree