Full-stack Developer With Llm Jobs

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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