$99,000.00 to $225,000.00 (annualized usd); not sp...
Hybrid
Design and develop agentic ai systems
Generative ai and llms
Retrieval-augmented generation (rag)
As an experienced engineer, you know how to design, develop, and deliver production-grade agentic AI systems that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows
Job Summary
As an experienced engineer, you know how to design, develop, and deliver production-grade agentic AI systems that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows.
You will architect modular, reusable AI application patterns, integrate multiple model providers such as cloud-hosted, local, and hybrid, and apply modern GenAI stack capabilities, including structured prompting, tool use, workflow orchestration, and multi-modal reasoning.
You will rapidly prototype and iterate using AI-assisted development tools, validating hypotheses through eval-driven development and continuous experimentation.
Matching Summary
As an experienced engineer, you know how to design, develop, and deliver production-grade agentic AI systems that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows.
Salary
$99,000.00 to $225,000.00 (annualized USD); Not specified; Not specified
Skills & Requirements
Must-have
design and develop agentic AI systems
generative AI and LLMs
retrieval-augmented generation (RAG)
agentic orchestration and evaluation pipelines
human-in-the-loop systems
modern GenAI stack capabilities
multi-modal reasoning
AI-assisted development tools
eval-driven development
Nice-to-have
agent frameworks and multi-agent patterns
model fine-tuning and domain adaptation
AI systems with external tools
client-facing engagements
in-browser or edge AI execution
Key Requirements
2+ years of software engineering experience
2+ years of AI or ML-focused roles
Experience with object-oriented programming (Python)
Experience designing production-grade generative or agentic AI applications
Experience with AI orchestration frameworks (e.g., LangChain)
Experience with RAG architectures and evaluation methodologies