About the Role
We are looking for a passionate and highly skilled AI Engineer to join our team and help us design, build, and scale intelligent systems that solve real-world problems.
This role is not about experiments that never reach production. You will work on applied AI, transforming ideas into robust, scalable solutions used by real users. You will have ownership, autonomy, and the opportunity to shape how AI is embedded into products from day one.
If you enjoy working at the intersection of machine learning, software engineering, and product, this role is for you.
What You Will Do
- Design, develop, and deploy AI-powered features end to end, from concept to production.
- Build and optimize machine learning models for tasks such as NLP, computer vision, recommendation systems, or predictive analytics.
- Work with LLMs and generative AI (prompt engineering, fine-tuning, RAG pipelines, agents).
- Integrate AI models into production systems using APIs and microservices.
- Collaborate closely with product, backend, and frontend teams to turn business needs into intelligent solutions.
- Continuously improve model performance, scalability, and reliability.
- Stay up to date with the latest advances in AI and proactively propose new ideas and improvements.
Tech Stack (What We Use & What You’ll Touch)
Depending on the project, you’ll work with technologies such as:
AI & Machine Learning
- Python (NumPy, Pandas, Scikit-learn)
- Deep Learning: TensorFlow / PyTorch
- NLP & LLMs: OpenAI APIs, Hugging Face, LangChain
- Vector databases: Pinecone, FAISS, Weaviate
- Model evaluation, fine-tuning, and experimentation
Backend & Infrastructure
- REST & GraphQL APIs
- Docker & containerized deployments
- Cloud platforms (AWS, GCP, or similar)
- CI/CD pipelines
- Basic MLOps practices (monitoring, versioning, model lifecycle)
Data
- SQL / NoSQL databases
- Data pipelines and preprocessing
- Feature engineering
What We’re Looking For
- Strong experience in AI / Machine Learning engineering or applied data science.
- Solid programming skills (Python required).
- Experience taking ML models from prototype to production.
- Understanding of trade-offs between accuracy, performance, cost, and scalability.
- Ability to work independently and take ownership of solutions.
- Clear communication skills and a product-oriented mindset.
Nice to Have
- Experience with Generative AI, LLM agents, or RAG architectures.
- Previous startup or fast-paced environment experience.
- Frontend or mobile integration experience.
- Contributions to open-source or AI research projects.
What We Offer
- High-impact work on meaningful, real-world AI products.
- Freedom to propose ideas and shape technical decisions.
- A collaborative, no-bureaucracy environment.
- Competitive compensation based on experience.
- Remote-friendly culture and flexible working hours.
- Continuous learning and growth in one of the fastest-moving fields in tech.
Join Us
If you are excited about building practical AI, not just demos, and want to work on products where your work truly matters, we’d love to hear from you.
Apply and help us shape the future with AI.