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    OpenAI

    Hire AI & ML Engineers for Proptech & Fintech | SelectCursor

    Build AI features that ship. From RAG and agents to fine-tuning, our engineers know OpenAI, Claude, Gemini, PyTorch and the modern AI stack.

    4.8 from 120+ reviews

    Core skills, vetted in depth

    Every developer passes a rigorous technical assessment before joining your team.

    OpenAI, Anthropic Claude, Gemini
    LangChain & LlamaIndex
    RAG, vector databases
    Fine-tuning & evaluation
    PyTorch, TensorFlow, MLflow
    MLOps on AWS / GCP

    What our developers build

    1

    RAG & chat assistants

    Production RAG apps with proper retrieval, evals and guardrails not just prototypes.

    2

    AI agents & automation

    Multi-step agents using tool calling, orchestration and structured outputs.

    3

    Fine-tuned models

    Custom fine-tunes on open models (Llama, Mistral) deployed on your infra with full MLOps.

    Meet available talent

    Sample profiles from our pre-vetted European talent pool.

    Tiago Almeida
    🇵🇹

    Tiago Almeida

    ML Engineer

    PyTorch
    OpenAI
    LangChain
    Aanya Khan
    🇵🇰

    Aanya Khan

    Data Scientist

    Python
    TensorFlow
    MLflow
    Ioana Popescu
    🇷🇴

    Ioana Popescu

    Data / AI Engineer

    Snowflake
    dbt
    OpenAI
    Rahul Mehta
    🇮🇳

    Rahul Mehta

    MLOps Engineer

    Kubernetes
    Kubeflow
    AWS
    Magdalena Wójcik
    🇵🇱

    Magdalena Wójcik

    AI Backend

    Python
    FastAPI
    Vector DBs

    Frequently asked questions

    Do you have engineers with production AI experience?+

    Yes. Our AI engineers have shipped LLM-powered features used by thousands of users including evals, observability and cost guardrails.

    Which model providers do they know?+

    OpenAI, Anthropic Claude, Google Gemini, Mistral, Cohere, plus open models via Hugging Face and Ollama.

    Can they help with our AI strategy?+

    Yes pair them with our Fractional CTO service for architecture, evals and roadmap.

    Do they handle data and MLOps too?+

    Several of our engineers are full-stack ML: data pipelines (Airflow, dbt), training (PyTorch), deployment (Kubernetes, SageMaker).

    Ready to embed top talent?

    Get a shortlist of pre-vetted developers within 48 hours.

    Book a free intake