AI Engineer

ELSA, Corp; Remote; SGD 50,000 - 80,000; Full time

Job summary

A leading AI-driven language learning company based in Singapore is seeking an AI Engineer to join their AI Research Team. You will focus on developing and deploying LLM-powered capabilities that enhance the conversational tutoring experience. Candidates should have experience with LLM orchestration frameworks, strong NLP knowledge, and a solid software engineering foundation. Enhance your career in a fast-growing startup culture and contribute to technology that changes lives.

Benefits

Collaborative culture

Professional growth opportunities

Qualifications

• Hands-on experience with LLM orchestration frameworks like LangChain or OpenAI.
• Strong experience deploying AI applications with a user impact focus.
• Proficiency in NLP, LLMs, and generative AI frameworks.

Responsibilities

• Design, build, and deploy AI-powered agents using LLMs.
• Collaborate with teams to integrate AI into the platform.
• Develop scalable AI pipelines and workflows for production.

Skills

LLM orchestration frameworks

AI systems integration

NLP expertise

Cloud services

Containerization

Tools

PyTorch

TensorFlow

Docker

Job description

Founded in 2016, ELSA harnesses the power of generative AI to improve English communication skills globally, with headquarters in San Francisco and offices in Lisbon, Tokyo, Jakarta, Singapore, and Vietnam. With over 50 million users and 1 billion hours of anonymized data, our AI‑driven language learning platform delivers hyper‑personalized learning paths for both businesses and individuals, transforming lives and organizations through effective spoken English. ELSA is backed by leading investors including Gradient Ventures, Google’s AI fund, Monk’s Hill Ventures, and Global Ventures.

At ELSA, our vision is to be the global leader in teaching real‑time, conversational English, with the aim of helping over 1.5 billion language learners worldwide. We are here to celebrate and empower every individual on the global stage to build confidence, be understood, and share their story. Come join our very talented team of people working to make a difference with our proprietary speech recognition and AI‑driven language learning technology!

About the role

You will be joining the AI Research Team, a group of experts dedicated to advancing AI‑driven language learning technologies.

We are seeking an AI Engineer to drive the development and deployment of LLM‑powered capabilities at ELSA. This role sits at the intersection of software engineering and machine learning, focusing on delivering high‑quality AI systems that enhance ELSA’s conversational tutoring experience. The ideal candidate is a pragmatic AI engineer and an agent of change, pushing the team towards a 3x acceleration in AI‑driven development, evaluation, and deployment. You will work closely with researchers and engineers to bridge cutting‑edge AI research with scalable, real‑world applications.

What will you do

• Design, build, and deploy AI‑powered agents that utilize LLMs for reasoning, retrieval, and action‑based workflows.
• Implement intelligent evaluation and feedback loops to measure model performance and continuously improve AI‑driven learning experiences.
• Develop scalable AI pipelines and AI Ops workflows to accelerate research‑to‑production cycles.
• Work with prompt engineering, fine‑tuning, LLM orchestration frameworks, and model evaluation techniques to refine conversational experiences.
• Collaborate cross‑functionally with researchers, engineers, and product teams to integrate AI seamlessly into ELSA’s platform.

What you will need

• Hands‑on experience with LLM orchestration frameworks (LangChain, LlamaIndex, OpenAI function calling, or similar).
• Experience building agent‑based AI systems that integrate multiple tools, APIs, or retrieval methods.
• Strong experience deploying and iterating on AI applications, focusing on user impact rather than just model performance.
• Proficiency in NLP, LLMs, and generative AI frameworks, with experience in both open‑source tools like PyTorch, TensorFlow, Hugging Face, and transformer‑based models, as well as closed‑source models and platforms such as OpenAI, Anthropic, Gemini, DeepSeek, LangChain, and LangSmith.
• Strong software engineering background, including experience with APIs, microservices, containerization (Docker, Kubernetes), and cloud services.

Nice to haves

• Experience with multi‑step reasoning models and structured inference techniques (Chain‑of‑Thought, Tree‑of‑Thoughts, Graph‑based reasoning).
• Hands‑on experience with AI agent architectures, including self‑improving, multi‑agent collaboration tools like DSPy, CrewAI, or Microsoft Autogen.
• Familiarity with memory‑augmented AI, knowledge distillation techniques, and continual learning approaches for evolving AI models over time.
• Strong knowledge of parameter‑efficient fine‑tuning (LoRA, QLoRA, PEFT) and model compression for efficient deployment.
• Understanding of integrating LLMs with external APIs and structured retrieval systems, improving AI accuracy with hybrid search techniques.

Why will you love working here

• Experience the true spirit of a fast‑growing and well‑funded Silicon Valley startup.
• Fun energetic team; international and collaborative culture.
• Opportunities to grow professionally and play a critical role in shaping the next stage of the company’s growth.

How to apply

If you are ready to take on this exciting challenge and drive growth for ELSA, please submit your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role to [e-mail].