Senior GenAI Engineer – Python

New
B
BillenniumAI automation
Workplace type: remote; Country code: PLContractSenior
Salary not disclosed
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Job Details

Languages
Fluent in English
Required Skills
DockerPythonKubernetesAzureFastAPITerraformLLM

Requirements

  • Demonstrate strong proficiency in Python for backend development.
  • Have experience with FastAPI, Flask, Django, or similar frameworks.
  • Understand software architecture, design patterns, and API development.
  • Have experience with Azure cloud services, including storage and serverless technologies.
  • Have experience with Docker and Kubernetes.
  • Be familiar with CI/CD pipelines and infrastructure as code, including Terraform, Bicep, or ARM.
  • Be familiar with monitoring tools such as App Insights, Prometheus, or Grafana.
  • Have hands-on experience or a strong understanding of AI-driven systems and intelligent automation workflows.
  • Understand LLM APIs, testing, RAG, LangGraph, and related tools; be able to apply prompt engineering and integrate ML or LLM APIs.
  • Have a proven track record in system building, scalability, and performance optimization.
  • Have experience with code reviews, mentoring, and setting engineering standards.
  • Be fluent in English.

Responsibilities

  • Build LLM-powered features end to end, including agentic flows, retrieval, and tool calling with LangGraph.
  • Ship LLM features as FastAPI services with streaming, persistence, and tests.
  • Build evaluation datasets, regression suites, and LLM-as-judge checks to assess prompt and model changes.
  • Turn user questions into effective queries against the search platform and orchestrate multi-step research loops.
  • Shape the context used by models and diagnose whether incorrect answers stem from retrieval, queries, or prompts.
  • Instrument production flows with Langfuse tracing and investigate incorrect answers using real traces.
  • Manage latency, token, and cost budgets, including routing across model sizes and families through an AI gateway.
  • Design, build, and optimize scalable cloud backend systems for AI-driven and intelligent automation solutions.
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