Careers · Engineering
AI / ML
Engineer
About the role
Develop, optimize, and deploy machine learning, deep learning, computer vision, NLP, and generative AI solutions for production environments.
All open positions
What you'll do
- Build and deploy agentic and RAG systems against enterprise data sources.
- Design evaluation harnesses that measure accuracy, cost and latency.
- Engineer prompts, tools and orchestration for reliable model behaviour.
- Set up monitoring, guardrails and human-in-the-loop controls for production.
- Partner with clients to translate business problems into AI solutions.
What we're looking for
- 3–5 years of relevant AI/ML experience Strong Python skills
- Machine learning, deep learning, and model deployment Computer vision and NLP
- Django, FastAPI, or Flask SQL and relational databases
- Familiarity with prompt engineering, LangChain, LlamaIndex, and RAG ONNX, TensorRT, quantization, and Hugging Face
- Strong analytical, problem-solving, and communication skills
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field (Part-time Master's students in Data Science may also apply)
What we offer
- Competitive salary and performance bonuses
- Hybrid and remote-friendly working
- Annual learning and certification budget
- Health coverage for you and your family
- Paid time off and flexible hours
- Work on meaningful products for global clients
Reach us
Send us
an email
Email us your CV and a few lines about yourself. We review every application and come back within a few business days — a real reply from a real person, not an auto-reject.
Hiring process
4 stages- ApplySend your CV
- ReviewWe read every one
- InterviewMeet the team
- OfferWelcome aboard
Apply by email
Attach your CV — the role is already in the subject line.