Agent Engineer

Remote

Full Time

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About Alhena

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.


Who we are looking for

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.


Responsibilities

  • 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


Qualifications

  • 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


Bonus Qualifications

  • 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


Benefits

  • Experience in building agentic applications

  • Competitive compensation, including meaningful equity

  • Flexible PTO


Sounds Exciting ?

  • Click on Apply ! or send an email to [email protected]

  • Include the role's title in your subject line.

  • Send along links that best showcase the relevant things you've built and done. Resume, social handles, portfolio etc