AI/ML Developer with Full-Stack Experience

We are hiring an AI/ML Developer with hands-on experience building practical AI-powered applications, workflows, and integrations. This role is ideal for someone who understands modern AI/ML tools, can work with LLMs and data pipelines, and is comfortable helping turn AI ideas into real, usable products.

Full-stack development experience is not required, but it is highly welcomed. Candidates who can also contribute to frontend, backend, APIs, or product development will be a strong fit.

Responsibilities

• Build, integrate, and improve AI/ML-powered features for real products.

• Work with LLM APIs, embeddings, vector databases, RAG pipelines, AI agents, or automation workflows.

• Design and test prompts, retrieval flows, model outputs, and AI evaluation methods.

• Work with data processing pipelines, structured/unstructured data, and model-related workflows.

• Collaborate with product, design, and engineering teams to deliver practical AI features.

• Help connect AI/ML systems with existing applications, APIs, and databases.

• Debug, optimize, and improve AI workflows for quality, reliability, speed, and cost.

• Write clean, maintainable code and participate in technical planning.

• Optionally contribute to full-stack web development tasks when needed.

Requirements

• Practical experience or strong hands-on knowledge in AI/ML, LLMs, or AI-powered application development.

• Experience working with LLM APIs such as OpenAI, Anthropic, Gemini, or open-source models.

• Understanding of embeddings, vector search, RAG, prompt engineering, or AI agents.

• Experience with Python and common AI/data libraries such as pandas, scikit-learn, PyTorch, TensorFlow, or similar.

• Ability to work with APIs, data formats, and backend integrations.

• Strong problem-solving skills and ability to build practical, working solutions.

• Clear communication skills in English.

• Ability to work independently and communicate progress clearly.

Full-Stack Experience Welcome

Full-stack experience is optional, but highly valued. It is a plus if you have experience with:

• JavaScript or TypeScript

• React, Next.js, Vue, or similar frontend frameworks

• Node.js, Python backend frameworks, Go, Java, or similar

• PostgreSQL, MySQL, MongoDB, Redis, or similar databases

• Authentication, API design, deployment, and version control

• Building production-ready web applications

Nice to Have

• Experience with LangChain, LlamaIndex, vector databases, RAG systems, or AI agents.

• Experience with OpenAI, Anthropic, Gemini, Hugging Face, or open-source LLMs.

• Experience with Docker, Kubernetes, CI/CD, Terraform, AWS, GCP, or Azure.

• Experience with ML pipelines, model evaluation, data processing, or automation systems.

• Experience optimizing AI applications for latency, cost, accuracy, and reliability.

• Experience deploying AI-powered features into production applications.

What We Offer

• Opportunity to work on real AI-powered products.

• Flexible and collaborative working environment.

• Competitive compensation based on experience.

• Growth opportunities in AI/ML engineering, automation, and product development.

• A team that values ownership, clean code, and practical problem-solving.

How to Apply

Please send:

• Your resume or LinkedIn profile

• A short Loom video recording introducing yourself

In your Loom video, please briefly cover:

• Your AI/ML, LLM, or automation-related experience

• Any full-stack or web development experience, if applicable

• One project you are proud of

• Why you are interested in this role

The video does not need to be highly polished. A simple 1–2 minute recording is enough.

A Loom video introduction is mandatory; applications submitted without a Loom video will be automatically disqualified.