Senior GenAI Engineer - Production AI & Scalable Pipelines

Satori Analytics; Kentucky; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Remote work from EU/UK

Training budget

Private insurance

Job summary

Satori Analytics is seeking a senior software engineer to architect and deploy GenAI systems spanning data ingestion to AI applications. You will design scalable APIs, integrate multiple LLMs, and build reusable AI components while mentoring junior engineers.

The role emphasizes production quality, cost-aware inference, and robust monitoring with a strong focus on RAG, tool calling, and memory management in cloud environments.

Qualifications

• MSc in Computer Science, Engineering, or related STEM field (PhD is a plus).
• 4+ years of professional software engineering experience, with 1+ years building AI-powered systems in production.
• Strong backend engineering expertise: clean architecture, system design, SOLID principles, testing, and CI/CD.
• Deep experience building production-grade Agentic applications (not just prototypes or notebooks).
• Expert-level Python skills, including async programming, typing, packaging, and performance optimization.
• Experience designing scalable APIs and AI microservices (FastAPI or similar frameworks).
• Strong understanding of LLM system patterns: RAG, tool calling, agents, prompt orchestration, memory, and evaluation pipelines.

Responsibilities

• Architect and build scalable, production-grade GenAI systems and services.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines end-to-end.
• Integrate and orchestrate LLMs (OpenAI, Anthropic, Google, or open-source models) in real-world applications.
• Build internal abstractions, SDKs, and reusable components for GenAI capabilities.
• Implement evaluation pipelines, guardrails, and monitoring for hallucination detection, drift, and quality control.
• Optimize inference performance, cost, token usage, and response latency.
• Design multi-step agent workflows and tool integrations safely and reliably.
• Lead the transition from experimentation to hardened production systems.
• Mentor engineers and establish best practices for GenAI engineering.
• Line management responsibilities - 1-2 bright junior engineers.

Skills

Software engineering

AI in production

Python

Backend engineering

CI/CD

Education

MSc in Computer Science/Engineering or related STEM

Tools

FastAPI

AWS

Azure

Docker

CI/CD

Infrastructure as Code

PostgreSQL

Job description

Satori Analytics is seeking a senior software engineer to architect and deploy GenAI systems spanning data ingestion to AI applications. You will design scalable APIs, integrate multiple LLMs, and build reusable AI components while mentoring junior engineers.

The role emphasizes production quality, cost-aware inference, and robust monitoring with a strong focus on RAG, tool calling, and memory management in cloud environments.