Z
ZentixSoft
Ml Ai
AI Python Engineer
PythonLangChainLangGraphAutoGenOpenAI APIAnthropicTypeScriptJavaScriptVector DatabaseRAGPrompt EngineeringGuardrailsMLOpsLLMOps
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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