1168 Senior AI Developer

Intetics Inc.; Portugal; On-site; EUR 70,000 - 100,000; Full time

Job summary

Intetics Inc. is seeking an hands-on AI Developer (LLM / RAG / Agentic AI) to join our team in Portugal. The role focuses on designing, building, and maintaining production-grade AI agents, MCP servers, and memory/context architectures.

You will implement agentic patterns, evaluate systems, and collaborate across teams to deliver scalable AI-powered products. The ideal candidate brings 1.5–2+ years with LLMs in production, plus 6+ years in IT, with Python, ML, and experience with Bedrock or

Qualifications

• 6+ years of IT experience as Software Engineer/ML/AI Engineer.
• Hands-on production experience with Amazon Bedrock and/or Microsoft Foundry.
• Proven experience building and deploying LLM-based agents to production.
• Experience with at least one agent framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents, or OpenAI Agents SDK.
• Deep MCP expertise: MCP servers on databases, integration, orchestration.
• Production-grade RAG, memory, and context engineering: embeddings, chunking, hybrid search, vector DBs, memory.
• Experience with agentic patterns: ReAct, Planner-Executor, Reflection, Router, Supervisor, Multi-Agent, Human-in-the-Loop.
• LLM evaluation, guardrails, monitoring, and optimization from production usage.

Responsibilities

• Design, build, and maintain LLM-based agents in production environments.
• Build MCP servers on top of databases and orchestrate MCP servers under a unified framework.
• Design memory, context management, and RAG architectures for production use.
• Establish evaluation frameworks and improve agent performance after release.
• Work with databases, APIs, interfaces, agents, and orchestration apps.
• Develop AI solutions using Bedrock and/or Foundry.
• Collaborate with cross-functional teams to deliver scalable AI-powered products.

Skills

LLM development

AI agents production

Python development

Machine Learning

System architecture

Cross-functional collaboration

Optimization

Tools

LangGraph

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Strands Agents

OpenAI Agents SDK

Docker

CI/CD pipelines

Amazon Bedrock

Microsoft Foundry

Job description

Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and "all-things-digital" solutions, is looking for an AI Developer (LLM / RAG / Agentic AI) to join its innovative team.

Project Responsibilities

• Design, build, and maintain LLM-based agents in production environments, both customer-facing and internal
• Build MCP servers on top of existing databases and production systems, and orchestrate multiple internal and external MCP servers under a unified agent framework
• Design and implement memory, context management, and RAG architectures for production use
• Establish evaluation frameworks, handle edge cases, and continuously improve agent performance after release
• Work within architectures that combine databases, APIs, interfaces, agents, and orchestration applications
• Develop AI solutions using Amazon Bedrock and/or Microsoft Foundry
• Collaborate with cross-functional teams to deliver scalable and reliable AI-powered products

Candidate's Portrait

We are looking for a hands-on AI Engineer (Middle+ to Senior level) who has successfully delivered AI agents into production and can clearly explain implementation challenges, failure cases, and optimization approaches. The ideal candidate is passionate about AI, actively explores new tools and models, and has a proven track record building intelligent systems beyond experimentation.

• 1.5-2+ years of hands-on experience with LLMs and AI agents in production environments
• Strong background in Machine Learning, Python development, or Data Science
• Self-driven, innovative, and continuously learning emerging AI technologies

Must-Haves

• 6+ years of overall experience in IT as a Software Engineer, ML Engineer, or AI Engineer
• Hands-on production experience with Amazon Bedrock and/or Microsoft Foundry (Azure AI Foundry, Azure OpenAI)
• Proven experience building and deploying LLM-based agents to production, including customer-facing conversational AI and internal workflow automation agents
• Strong experience with at least one agent framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents, or OpenAI Agents SDK
• Deep MCP expertise, including building MCP servers on top of existing databases and systems, integrating external MCP servers, and orchestrating multiple MCP services under a single agent
• Strong experience with production-grade RAG, memory, and context engineering, including:
  • Embeddings
  • Chunking strategies
  • Hybrid search
  • Reranking
  • Vector databases
  • Short-term and long-term agent memory
• Practical experience implementing agentic patterns such as:
  • ReAct
  • Planner-Executor
  • Reflection
  • Router
  • Supervisor
  • Multi-Agent Systems
  • Human-in-the-Loop
• Experience with LLM evaluation, guardrails, monitoring, and iterative optimization based on production usage and failure analysis
• Strong understanding of system architecture involving databases, APIs, agents, and orchestration applications
• Hands-on experience with Docker and CI/CD pipelines

Nice-to-Have

• Experience in fintech, trading, investing, brokerage, or cryptocurrency-related products
• Background in regulated industries with strong requirements around compliance, data protection, and AI output auditability
• Broader AWS or Azure cloud expertise beyond AI services
• Experience with LLM evaluation and observability platforms such as LangSmith, Langfuse, Ragas, or custom evaluation pipelines
• Advanced practical expertise with modern agentic AI development tools and rapid prototyping approaches