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Funavry is hiring AI/ML engineers to design, deploy, and optimize ML/DL, CV and NLP solutions for production environments in a hybrid setup. The role focuses on building agentic and RAG systems, crafting prompts and orchestration, and implementing guardrails with human-in-the-loop controls.
You will collaborate with clients to translate business problems into practical AI solutions, leveraging LangChain, LlamaIndex, ONNX, and HuggingFace tools and platforms.
Develop, optimize, and deploy machine learning, deep learning, computer vision, NLP, and generative AI solutions for production environments.
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.
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)
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