AI Engineer

Akvelon, Inc. • Serbia
Remote Relocation
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AI Summary

Join a product engineering team to develop AI-powered product features, build MCP servers, and integrate models with tools and data in a scalable production environment. Collaborate with engineering teams to deliver production-ready AI solutions. Work on LLM-based capabilities and enterprise-grade web services.

Key Highlights
Develop AI-powered product features
Build and maintain MCP servers and agent-based components
Work with engineering teams to deliver production-ready AI solutions
Key Responsibilities
Design and develop AI-powered product features
Build and maintain MCP servers and agent-based components
Develop enterprise-grade web services and backend integrations
Technical Skills Required
C# Python Model Context Protocol (MCP) Azure AWS GCP
Benefits & Perks
Remote work
Relocation support available
Nice to Have
LLM and RAG engineering
LangChain
LlamaIndex
LangGraph
AutoGen
OpenAI tool calling or the Responses API
LangSmith or Langfuse
prompt injection defense and output validation

Job Description


We are looking for an AI Engineer to join a product engineering team focused on introducing LLM-based capabilities into enterprise software and building systems such as MCP servers and agents. The role involves working on AI-driven product features, backend services, and integrations that connect models with tools and data in a scalable production environment.


Location: Serbia (relocation support available), Croatia, Poland, Portugal


Tasks

  • Design and develop AI-powered product features with a focus on LLM-based capabilities;

  • Build and maintain MCP servers and agent-based components;

  • Develop enterprise-grade web services and backend integrations;

  • Work with tools, data sources, and model interfaces across cloud environments;

  • Collaborate with engineering teams to deliver production-ready AI solutions.


Requirements

CORE



  • AI Engineer profile with strong SDE background;

  • Proficiency in C# or Python;

  • Knowledge of Model Context Protocol (MCP) for connecting tools and data into models;

  • Experience in developing enterprise-grade web services;

  • Experience working with cloud platforms such as Azure, AWS, or GCP.


Nice to have



  • Hands-on experience with LLM and RAG engineering, including retrieval design, chunking, vector stores, and structured outputs, using tools such as OpenAI, LangChain, or LlamaIndex;

  • Experience in building and orchestrating agentic systems that call tools and reason over retrieved context, using frameworks such as LangGraph or AutoGen, and OpenAI tool calling or the Responses API;

  • Familiarity with LLM evaluation and observability tools such as LangSmith or Langfuse;

  • Experience with guardrails and security measures such as prompt injection defense and output validation.


Engagement Type



  • B2B contract.


Location / Timezone



  • Remote work from Croatia, Poland, Portugal, and Serbia.

  • European working hours.

  • Occasionally available for meetings up to 10:00 AM PST (US overlap).

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