GenAI Engineer: Production ML & RAG Pipelines

Visa Hunt; United States; On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Comprehensive Health Insurance

Paid Leave (Vacation/PTO)

Paid Holidays

Sick Leave

Parental Leave

Bereavement Leave

401 (k) Employer Match

Employee Referral Bonuses

Job summary

Egen is seeking a Senior AI Engineer to lead GenAI initiatives, focusing on document intelligence and RAG pipelines. You will translate business needs into high-performance AI architectures while ensuring robust, ethical, and scalable solutions.

This role emphasizes a software engineering approach to AI, collaboration with clients, and responsible AI development. Strong experience with LLMs, vector databases, and MLOps is required.

Qualifications

• Bachelor’s or Master’s degree in CS, Engineering, or a related technical field.
• 5+ years of experience in AI/ML.
• Proven track record of deploying GenAI products to production.
• Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus.
• Knowledge of Data Engineering and SQL.

Responsibilities

• Architect & Build end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
• Engineer for precision with RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using Google Cloud Vector Search or Pinecone.
• Optimize models with 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, 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.

Skills

Python

Shell scripting

Google Gemini

GPT-4

LLaMA

Prompt engineering

Fine-tuning

LangChain

LlamaIndex

Vector databases

Vertex AI Vector Search

pgvector

Semantic search

Google Cloud

Vertex AI

Data Engineering

SQL

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Google Cloud

Job description

Egen is seeking a Senior AI Engineer to lead GenAI initiatives, focusing on document intelligence and RAG pipelines. You will translate business needs into high-performance AI architectures while ensuring robust, ethical, and scalable solutions.

This role emphasizes a software engineering approach to AI, collaboration with clients, and responsible AI development. Strong experience with LLMs, vector databases, and MLOps is required.