Senior GenAI Engineer: LLMs, RAG & Vector Search on Cloud

Egen; United States; À distance; USD 180 000 - 240 000; Plein temps

Avantages offerts par ce poste

Comprehensive Health Insurance

Paid Leave (Vacation/PTO)

Paid Holidays

Sick Leave

Parental Leave

Bereavement Leave

401(k) Employer Match

Employee Referral Bonuses

Résumé du poste

Egen is hiring a senior GenAI architect to design and deploy end-to-end AI applications on Google Cloud, using Python, LangChain, and LlamaIndex. You will craft RAG pipelines, semantic search, and fine-tune embeddings for production-grade performance.

You will lead multi-step reasoning workflows, collaborate with clients to translate requirements into technical solutions, and apply MLOps to monitor and serve models reliably.

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
• Mastery of Python and shell scripting
• Extensive experience with Google Gemini, GPT-4, or LLaMA
• Deep knowledge of Prompt Engineering and Fine-tuning
• Expertise in Vector Databases and Semantic Search
• Hands‑on experience with Google Cloud (Vertex AI)
• Proficiency in LangChain, LlamaIndex, or similar orchestration layers
• Knowledge of Data Engineering and SQL

Responsabilités

• Architect and build end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud
• Develop advanced RAG pipelines and Semantic Search systems using Google Cloud Vector Search or Pinecone
• Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance
• Build and manage agentic workflows that automate complex multi-step reasoning tasks
• Collaborate with customers to understand requirements and implement state-of-the-art AI techniques
• Apply MLOps best practices to ensure models are served efficiently and monitored

Connaissances

Python

LangChain

LlamaIndex

RAG pipelines

Semantic Search

Prompt engineering

MLOps

LLM fine-tuning

SQL

Cloud orchestration

Formation

Bachelor's degree

Master's degree

Outils

Google Cloud

Vertex AI

GPT-4

LLaMA

LangChain

LlamaIndex

Pinecone

Vector databases

Description du poste

Egen is hiring a senior GenAI architect to design and deploy end-to-end AI applications on Google Cloud, using Python, LangChain, and LlamaIndex. You will craft RAG pipelines, semantic search, and fine-tune embeddings for production-grade performance.

You will lead multi-step reasoning workflows, collaborate with clients to translate requirements into technical solutions, and apply MLOps to monitor and serve models reliably.