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Gen AI - Senior Developer

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ZegaSoftware

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Location:
Romania , Brașov

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We’re looking for a GenAI senior Developer to design, build, and deploy intelligent LLM-powered systems—from single-agent chatbots, copilots to complex multi-agent applications - at scale. We are particularly interested in candidates who have hands-on experience in taking GenAI applications from concept to production, especially within high-volume B2C environments. This role prioritizes individuals who understand the nuances of deploying, maintaining, and optimizing GenAI solutions for real-world users,beyond the scope of Proof-of-Concept (PoC) development. You will work across the full stack, integrating LLMs, microservices,vector databases, backend APIs, and modern cloud infrastructure.

Requirements:

  • Develop scalable, asynchronous microservices using Python (FastAPI) for chatbots, copilots, and agentic workflows
  • Design event-driven architectures to support high concurrency, rate limiting, and real-time responsiveness
  • Implement secure, versioned REST/gRPC APIs
  • Use Pydantic, dependency injection, and modular coding practices for maintainability
  • Proficient in working with databases using ORMs like SQLAlchemy
  • Ensure observability using logging, metrics, tracing, and health checks
  • Create responsive React.js frontends integrated via REST APIs or WebSockets
  • Deploy applications on Cloud Run, GKE, using Docker, Artifact registry, CI/CD pipelines
  • Design and build LLM-powered chatbots, voicebots, copilots and other applications using LangChain or custom orchestration frameworks
  • Integrate enterprise-grade LLM APIs (Gemini, OpenAI, Claude) for multi-turn, intelligent interactions
  • Implement user session management and context/state tracking for personalized and continuous conversations
  • Build RAG pipelines with vector databases, knowledge graphs to ground responses with external knowledge and documents
  • Apply advanced prompt engineering (ReAct, Chain-of-Thought with tool calling) for precise and goal-oriented outputs
  • Ensure performance in low-latency, streaming environments using WebSockets, gRPC, and SIP media gateways
  • Perform fine-tuning of open-source LLMs (LLaMA variants) using techniques like SFT, LoRA, for cost-effective domain adaptation
  • Optimize high-speed inference pipelines leveraging multi-GPU clusters (up to 8x H100s) to reduce latency and improve throughput
  • Create multi-agent systems & Implement orchestration patterns like supervisor-agent, hierarchical, and networked agents using frameworks like ADK, Pydantic AI and LangGraph
  • Use LangGraph for stateful workflows with memory, conditional branching, retries, and async execution
  • Enable persistent context and long-term memory
  • Monitor behavior, drift, and performance using observability tools
  • Skilled in developing agents with ADK and A2A protocols & experienced in configuring custom and remote MCP servers

Nice to have:

  • DevOps: Docker, GitHub Actions, Jenkins, GKE, Cloud Run
  • Infra & Tools: GCP, Azure, Pub/Sub, Artifact Registry, NGINX, Langfuse, Postman, Pytest

Additional Information:

Job Posted:
January 02, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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