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ZentixSoft
Scraped fromDjinniYesterday
Ml Ai

AI Python Engineer

PythonLangChainLangGraphAutoGenOpenAI APIAnthropicTypeScriptJavaScriptVector DatabaseRAGPrompt EngineeringGuardrailsMLOpsLLMOps
Work Type
Remote
Job Type
Full Time
Location
Worldwide
Salary
Not specified

About the Position

ZentixSoft is hiring an AI Delivery Engineer for a long-term remote project. The role involves building AI agent tooling, code-generation solutions, and integrating LLM APIs, RAG pipelines, and vector databases into production systems.

Responsibilities

  • AI Tooling & Automation: Design, build, and maintain AI agent tooling that automates engineering and business workflows.
  • Code Generation Pipelines: Develop and refine developer copilots and code-generation workflows.
  • Agent Integration & RAG: Integrate LLM APIs, agent-orchestration frameworks, RAG pipelines, and vector databases into production systems.
  • Production Reliability: Monitor, evaluate, and enhance agent performance, safety guardrails, and reliability from prototype to production rollout.
  • Documentation & Adoption: Document tooling, establish prompt engineering standards, and support internal teams in adopting AI agents.

Requirements

  • 4+ years of commercial software engineering experience, with a recent focus on applied AI/LLM systems.
  • Hands-on experience building LLM-based agents or agent-orchestration frameworks (LangChain, LangGraph, AutoGen, or custom pipelines).
  • Proven experience with code-generation tooling and AI-assisted development workflows.
  • Strong Python skills (TypeScript/JavaScript is a plus) for agent tooling and integration.
  • Experience working with LLM APIs (OpenAI, Anthropic, etc.), RAG architecture, vector stores, prompt engineering, and guardrails.
  • Demonstrated ability to take AI concepts and prototypes to production-grade deployment.
  • Nice to Have: Experience deploying agentic frameworks in enterprise settings.
  • Nice to Have: Familiarity with MLOps / LLMOps practices.
  • Nice to Have: Contributions to open-source AI tooling.
  • Language: English B2 – Upper Intermediate

Benefits

  • Salary Review: A structured system of compensation reviews aligned with your engineering growth.
  • Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged.
  • Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy.
  • Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.

Who to contact

AI Python Engineer
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