Agent Engineer
Remote
Full Time
Alhena AI is the world's most accurate, capable, and adaptive AI platform designed for online merchants who aim to scale more profitably. More than just a chatbot, Alhena AI empowers e-commerce businesses by building intelligent shopping assistants that engage customers from pre-sales to post-sales, ultimately helping merchants sell more products.
Customers can launch multiple AIs to boost conversion rates, enhance customer satisfaction, and increase the operational efficiency of their customer service teams.
Unlike other solutions, Alhena AI delivers a far superior end-user experience, doesn't hallucinate, is extremely easy to deploy and use, and seamlessly integrates with leading e-commerce platforms and help desks.
Deployable across all support channels—including email, live chat, and social messaging apps—Alhena AI enables merchants to provide truly omnichannel and consistent customer service in real time.
It learns from e-commerce platforms, customer support knowledge bases, wikis, and help desk/community interactions to provide highly accurate and context-aware answers to shopper and customer support questions.
By leveraging multiple large language models (LLMs) like GPT-4, GPT- 4o, O1 preview, Claude, and Llama 3.1, Alhena AI combines advanced AI and machine learning methods to ensure response quality.
We are backed by Silicon Valley's top venture capital firms, including Slow Ventures, 6th Man Ventures, and South Park Commons, who are partnering with us to revolutionize customer support.
Our team consists of former product and engineering leaders from Meta, LinkedIn, Microsoft, and Uber. They bring their transformational experience to advance Alhena's machine-learning technology and drive growth at an unprecedented pace.
Alhena is seeking a talented Agent Engineer to join our dynamic team. You will be responsible for building and deploying agentic applications that leverage LLMs and AI tools to solve real-world customer problems. This role offers an excellent opportunity to work at the cutting edge of AI technology and make a significant impact on our product development.
Building MCP (Model Context Protocol) agents
Building agentic workflows
Design and architect sophisticated agentic AI systems that leverage multiple LLM providers
Build and deploy production-ready AI agents with advanced reasoning and decision-making capabilities
Develop seamless integrations with cutting-edge LLMs (GPT-4, Claude, Gemini) and AI tooling ecosystems
Create intelligent workflows that orchestrate multiple AI services and APIs
Optimize AI agent performance through fine-tuning, prompt optimization, and system design
Bachelor's degree in Computer Science (or related field)
3+ years of relevant work experience
Deep understanding of Large Language Models (LLMs)
Proficiency in prompt engineering, few-shot learning, and chain-of-thought reasoning techniques
Experience with AI frameworks and tools (Agent SDK, OpenAI API, Anthropic Claude)
Strong background in software engineering with expertise in Python, JavaScript/TypeScript, and cloud platforms
Experience with API integration, microservices architecture, and distributed systems
Excellent problem-solving skills and ability to think algorithmically about AI system design
Strong communication skills to collaborate with cross-functional teams and explain complex AI concepts
Self-motivated with the ability to work independently in a fast-paced, remote-first environment
Experience with Model Context Protocol (MCP) and AI agent orchestration frameworks
Advanced expertise in LLM fine-tuning, parameter-efficient fine-tuning (PEFT), and model optimization
Experience with multimodal AI systems, vision-language models, and audio processing
Knowledge of AI safety, alignment, and responsible AI development practices
Contributions to open-source AI projects, research papers, or AI community initiatives
Experience with AI evaluation frameworks, benchmarking, and performance optimization
Background in machine learning operations (MLOps) and AI model deployment pipelines
Experience with edge AI, on-device AI, or AI model compression techniques
Experience in building agentic applications
Competitive compensation, including meaningful equity
Flexible PTO
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