Senior AI Engineer

Introduction

We are seeking a highly experienced professional with deep expertise in agentic architectures and enterprise-scale AI systems. This role requires a self-directed, autonomous engineer capable of taking full ownership of a critical microservice from day one, identifying gaps, proposing solutions, and driving initiatives end-to-end with minimal oversight.

Required Skills & Qualifications

• 5 years of software engineering experience, with a strong focus on AI/ML engineering and backend systems
• Expert-level proficiency in Python and Pydantic for validation and type-safe development
• Deep hands-on experience with LangChain, LangGraph, and multi-agent/agentic system design
• Strong understanding of Large Language Models (LLMs), including architecture, behavior, strengths, and limitations
• Proven experience building RAG-based systems with vector database integration, Elasticsearch preferred
• Experience designing scalable AI workflows for big data processing
• Strong experience building and consuming REST APIs with FastAPI
• Familiarity with LLM fine-tuning and training concepts (conceptual understanding required)
• Demonstrated ability to work independently with minimal direction, own systems end-to-end, and proactively identify and drive workstreams
• Prior work experience at client or in client's industry

Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

• Frontend experience with React, HTML, and TypeScript
• Background in Data Science or analytics pipelines
• Experience with LangSmith (LLM tracing, debugging, evaluation) and Galileo (LLM observability and data quality monitoring)
• Experience working in enterprise-scale or financial services environments
• Exposure to distributed systems and cloud platforms (AWS/GCP/Azure)

Day-to-Day Responsibilities

• Own and lead the design, development, and lifecycle management of an enterprise-scale agentic microservice
• Architect and implement LangChain / LangGraph-based multi-agent systems for complex enterprise use cases
• Design and build backend APIs and orchestration services using Python and FastAPI
• Develop scalable agentic workflows capable of processing large-scale data (batch and streaming pipelines)
• Design and optimize Retrieval-Augmented Generation (RAG) workflows integrating vector databases and relational data stores
• Apply advanced prompt engineering and context management techniques to improve LLM reliability and output quality
• Implement observability, telemetry, and monitoring frameworks to ensure system reliability and performance
• Enforce high code quality standards, using Python best practices and Pydantic for validation and schema management
• Identify and own technical debt, architectural gaps, and new initiatives, driving them through to completion independently

Company Benefits & Culture

• Comprehensive health, dental, and vision insurance
• Competitive 401(k) matching and retirement planning
• Flexible work arrangements and a supportive work-life balance culture

For immediate consideration please click APPLY to begin the screening process with Alex.