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Full-stack Developer With Llm

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Akveo

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IT - Software Development

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Job Description:

We are looking for a Full-Stack Developer with experience in LLM as Akveo is launching new AI projects. You will help strengthen and develop expertise in building intelligent assistants powered by LLM.

Job Responsibility:

  • Architect and launch new projects: design structure, select technologies from scratch
  • Communicate with customers: gather requirements, define scope, and translate business goals into technical solutions
  • Develop and maintain full-stack features: from API to UI, ensuring scalability, security, and performance
  • Lead code quality and best practices: review code, mentor other developers
  • Own the system lifecycle: oversee deployment, troubleshooting, and continuous improvement

Requirements:

  • Proficiency in TypeScript
  • Experience with Docker
  • Understanding of CI / CD pipelines
  • Building and maintaining RESTful APIs
  • Deploying / maintaining applications on AWS
  • Experience with React and Next.js
  • State management using React Query, Zustand, or Redux Toolkit
  • Familiarity with API integration and component-based architecture
  • Proficiency in Node.js (Express, Fastify, or NestJS)
  • Solid experience with PostgreSQL
  • ORM knowledge (Prisma or Drizzle)
  • Strong understanding of API architecture, authentication, and error handling
  • Understanding of LLM fundamentals: models, prompts, context, temperature, tokens, embeddings, agents, RAG, tools
  • Ability to design effective prompts and manage contextual information
  • Awareness of model APIs (OpenAI, Anthropic...)

Nice to have:

  • Experience with GraphQL
  • Familiarity with Kubernetes or Terraform
  • Serverless architectures (AWS, Supabase)
  • Styling with Tailwind
  • Experience with modern UI libraries like shadcn/ui
  • Working knowledge of WebSockets or other real-time communication methods
  • Experience with MongoDB
  • Familiarity with queues and background jobs (Redis, BullMQ, RabbitMQ)
  • Knowledge of caching, rate limiting, and webhook handling
  • Hands-on experience with LangChain, Mastra AI, AI SDK
  • Experience creating simple LLM agents (tools, chains, memory...)
  • Familiarity with vector stores (PGVector, Pinecone...)
  • Ability to build RAG pipelines (data chunking, embeddings, retrieval)
What we offer:
  • 20 working days of vacation
  • 5 sick days
  • Flexible work schedule and work from any convenient location
  • Loyal clients that trust our technical expertise and give us the freedom of professional self-expression
  • Compensation for training and certification
  • Performance Review system (meetings every 6 months), 1:1 rallies

Additional Information:

Job Posted:
December 05, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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