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- Tasks: Build and optimise AI agents for high-stakes conversations in a collaborative environment.
- Company: Join Eloquent AI, a leader in enterprise-grade AI solutions transforming business interactions.
- Benefits: Enjoy flexible work options, innovative projects, and a dynamic team culture.
- Why this job: Be at the cutting edge of AI technology, making a real impact on businesses.
- Qualifications: 3+ years in software development or AI engineering; strong Python skills required.
- Other info: Bonus points for experience in prompt engineering and contributions to AI research.
The predicted salary is between 28800 - 48000 £ per year.
As an AI Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You’ll work directly with software engineers, deep learning experts and AI researchers to design intelligent agents that understand, take action, and deliver real business impact. This role requires a mix of software development, AI integration, and problem-solving skills, with the ability to customize, optimize, and scale AI models for real-world enterprise applications. If you’re passionate about LLMs, conversational AI, and solving last-mile AI adoption challenges, this role is for you.
You will:
- Build, deploy, and optimize AI agents that engage in enterprise-grade conversations.
- Design & develop next-gen multimodal LLM architectures (LLMs, speech, vision, reinforcement learning).
- Explore optimal trade-offs between model quality and efficiency when translating research into practical solutions.
- Refine training paradigms for real-world applications.
- Integrate AI agents with enterprise systems via APIs, databases, and automation tools.
- Experiment rapidly to improve AI-driven interactions, response quality, and automation capabilities.
- Collaborate with cross-functional teams (engineering, research, and product) to shape Eloquent AI’s roadmap.
- Monitor and improve agents’ performance via user simulations and evaluations.
Requirements:
- 3+ years of experience in software development or AI engineering in a production environment.
- Strong proficiency in Python, with experience in frameworks like PyTorch and TensorFlow.
- Experience working with LLMs or large computer vision models, or generative AI models, including fine-tuning and inference optimization.
- Familiarity with APIs, cloud infrastructure (AWS, GCP, or Azure), and enterprise integrations.
- Ability to prototype, experiment, and iterate quickly to improve AI agents.
- Strong problem-solving skills and the ability to work closely with customers to refine AI solutions.
- Solid mathematical foundation of machine learning and deep learning techniques.
Bonus Points If…
- You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs.
- You’ve published AI research in top tier AI conferences like: NeurIPS, ACL, SIGIR, ICML and ICLR.
- You’ve contributed to open-source NLP projects.
- You’ve worked in a fast-paced startup environment and thrive in rapid iteration cycles.
AI Engineer, Multimodal LLMs employer: Eloquent AI (YC X25)
Contact Detail:
Eloquent AI (YC X25) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer, Multimodal LLMs
✨Tip Number 1
Familiarise yourself with the latest advancements in multimodal LLMs and conversational AI. Follow relevant research papers and industry news to stay updated, as this knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI field, especially those who work with LLMs or in similar roles. Attend meetups, webinars, or conferences to connect with potential colleagues and learn about the company culture at Eloquent AI.
✨Tip Number 3
Showcase your hands-on experience by working on personal projects that involve building and optimising AI agents. This practical experience can be a great conversation starter and demonstrate your skills effectively.
✨Tip Number 4
Prepare to discuss specific challenges you've faced in AI engineering and how you overcame them. Highlighting your problem-solving skills and ability to iterate quickly will resonate well with the team at Eloquent AI.
We think you need these skills to ace AI Engineer, Multimodal LLMs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software development and AI engineering. Emphasise your proficiency in Python and any frameworks like PyTorch or TensorFlow, as well as your work with LLMs or generative AI models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for multimodal LLMs and conversational AI. Discuss specific projects where you've built or optimised AI agents, and how your skills align with the requirements of the role at Eloquent AI.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving abilities. Highlight situations where you had to refine AI solutions or integrate AI agents with enterprise systems, showcasing your hands-on experience.
Highlight Collaboration Experience: Mention any experience working in cross-functional teams, especially with engineers, researchers, or product managers. This will show your ability to collaborate effectively, which is crucial for the role at Eloquent AI.
How to prepare for a job interview at Eloquent AI (YC X25)
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PyTorch, and TensorFlow in detail. Highlight specific projects where you've built or optimised AI models, especially those involving LLMs or computer vision.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of challenges you've faced in AI engineering and how you approached them, particularly in real-world applications.
✨Familiarise Yourself with Eloquent AI's Work
Research Eloquent AI’s products and their approach to AI agents. Understanding their technology and business model will help you tailor your responses and show genuine interest in the role.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with software engineers, researchers, and product teams. Share examples of successful teamwork and how you contributed to shared goals.
