Artificial Intelligence Engineer - Quezon City - Afni, Inc.

    Afni, Inc.
    Afni, Inc. Quezon City

    5 oras ang nakalipas

    ₱700,000 - ₱1,600,000 (PHP) bawat taon *
    Paglalarawan

    Position Purpose:

    A proficient AI Engineer will join our IT team, focusing on developing and enhancing AI Systems Engineer, you'll play a pivotal role in transitioning to an AI-driven company. Your work will encompass designing, developing, and ship production AI solutions across ML models and LLM systems—including AI agents, RAG, Agentic AI, and Agentic RAT (Agentic RAG / Retrieval-Augmented Tooling)—using Azure, OpenAI/Azure OpenAI, and Google Gemini.

    Roles and responsibilities:

    AI Agents + Agentic AI (Hands-on)

    • Build tool-using agents that execute multi-step tasks: planning, tool calling, verification, retries/fallbacks, and audit logs.
    • Implement agent orchestration (graph/state machine patterns), deterministic controls, and human-in-the-loop escalation.

    RAG + Agentic RAT (Agentic RAG / Retrieval-Augmented Tooling)

    • Build RAG pipelines end-to-end: ingestion, chunking, embeddings, vector/hybrid retrieval, reranking, citations, grounded responses.
    • Implement Agentic RAG: retrieval and tool-use loops ("retrieve, reason, tool-call, verify, respond") with confidence scoring. Tune retrieval quality: metadata filters, hybrid search, prompt grounding, evaluation datasets, and regression tests.

    Data Science + Machine Learning (Hands-on)

    • Own end-to-end ML: problem framing, EDA, feature engineering, training, validation → deployment , monitoring.
    • Build ML models (classification/regression/ranking/forecasting) using scikit-learn and/or PyTorch/TensorFlow.
    • Apply rigorous evaluation: cross-validation, leakage prevention, bias checks, calibration, thresholding, lift/uplift analysis.
    • Create production-grade feature pipelines (batch + real-time where needed) and ensure reproducibility.

    ML Deployment + MLOps (Hands-on)

    • Deploy ML models as APIs/batch jobs (FastAPI/Azure Functions/containers) with performance and reliability.
    • Implement MLOps: CI/CD for training + deployment, experiment tracking (MLflow or equivalent), model registry/versioning, rollback.
    • Production monitoring: model drift, data quality checks, performance degradation alerts, latency/cost monitoring.
    • Write runbooks, on-call-friendly dashboards, and incident playbooks for model failures.

    Cloud + Model Providers

    • Deploy on Azure: Blob/ADLS, Key Vault, Azure AI Search (vector/hybrid), App Service/AKS/Functions, App Insights.
    • Use OpenAI/Azure OpenAI and Google Gemini with provider abstraction, prompt/version governance, and rate-limit handling.

    Minimum Job Requirements (Education, Experience, Skills):

    • Experience with large language models like GPT-4,5, Gemini
    • Experience with Azure AI, Google, Gemini
    • Proficiency in Python and modern development environments including Git, Anaconda, PiP, Docker, and Cloud services
    • Ability to develop production-ready standalone libraries beyond "notebook code"
    • bachelor's degree in computer science, Engineering, or related field, or equivalent experience
    • Individual contributor mindset, with strong problem-solving and communication skills
    • Demonstrable previous work with LLM interfaces, sharing code repositories if applicable during the interview process
    • Hands-on AI agents + RAG + Agentic RAG/RAT in production (not just prototypes).
    • Strong Python engineering + proven delivery of production systems.
    • Hands-on DS/ML: built models, validated them rigorously, and deployed them.
    • Hands-on MLOps: pipelines, versioning, monitoring, drift detection, rollback.
    • Strong communication: can explain tradeoffs, risks, and decisions clearly.

    Physical Demands:

    Not Applicable.

    Working Conditions and Environment:

    Incumbent works in a temperature-controlled office environment. Incumbent sits at a desk during regularly scheduled work hours; answers and makes telephone calls using a standard telephone; types on a standard keyboard; reads and comprehends information from a computer terminal and/or written resources.

    * Ang saklaw ng suweldo na ito ay isang pagtatantya na ginawa ng beBee
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