Generative AI Engineer

2 days ago

Istanbul, Istanbul, Turkey Prometa AI Full time ₺120,000 - ₺240,000 per year

is a rapidly growing technology company developing Deep Learning-based recommendation systems and agentic AI solutions powered by Large Language Models (LLMs). We operate active projects across various industries and continue to strengthen our pioneering position in the field. We offer AI-powered products and consultancy services tailored for sectors such as finance, retail, healthcare, insurance, and telecommunications.

At PrometaAI, we are building next-generation AI products using the power of LLMs, RAG pipelines, and agentic workflows. We're looking for a
Generative AI Engineer
who can bridge the gap between research and production — someone who knows how to turn cutting-edge models into scalable, reliable systems.

Key Responsibilities:

  • Build and deploy end-to-end
    LLM-powered applications
    , including RAG, QA, and agent-based flows.
  • Implement multi-agent systems using
    LangGraph
    ,
    LangChain
    , and
    LangFlow
    .
  • Optimize prompts, tool usage, memory, and reasoning chains for production use.
  • Integrate GenAI components with existing APIs and infrastructure.
  • Monitor performance using tools like
    Langfuse
    , and apply evaluations on cost, latency, and accuracy.
  • Work closely with Data Science and MLOps to streamline deployments and lifecycle management.
  • Handle vector search integration (e.g., FAISS, Qdrant), chunking logic, and embedding evaluation.
  • Participate in scalable cloud-based deployments (e.g., GCP, Azure, OpenShift, Kubernetes).

Required Skill Sets:

  • Hands-on experience with
    LLM applications
    , including prompt design and tool-augmented agents.
  • Strong Python skills; ability to rapidly prototype and productionize code.
  • Proficiency in frameworks like
    LangChain, LangGraph, LangFlow
    , and
    Langfuse
    .
  • Familiarity with
    RAG pipelines
    , vector DBs, and document retrieval strategies.
  • Experience working with
    Docker, Kubernetes, OpenShift
    , and cloud platforms.
  • Exposure to
    MLOps tools
    like MLFlow, Airflow, Kubeflow.
  • Understanding of performance tuning, error handling, latency optimization.
  • Bonus: Experience in
    Speech-to-Text / Text-to-Speech
    is a big plus.
  • Bonus: Awareness of
    AI security, privacy, and interpretability
    is a plus.

What We Offer:

  • Opportunity to work on leading agentic AI platforms in Turkey
  • A forward-thinking, innovation-driven, and growth-oriented organization
  • Hands-on experience with scalable AI solutions across multiple industries
  • Flexibility to work remotely
  • Ongoing support for certifications and training for professional development

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