AI Engineer

Lisbon - Portugal

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

About Mesh-AI

Were a transformation consultancy and we exist to reimagine how enterprises operate making dataand AI their competitive advantage. We turn enterprises into data-driven and AI enabledorganisations unleashing business growth and accelerating outcomes.

Were proud to be partnered with leading innovators like Anthropic OpenAI and AWS and aregrowing our AI Engineering team to design and deliver production-grade AI systems that redefine howenterprises create value.

Were building an open collaborative culture and we are always on the lookout for top talent to join usin our next phase of growth. If youre interested in working on business-defining engagements withsome of the brightest minds in the industry apply below!

Overview

Were seeking an experienced AI Engineer to design build and deploy production-grade AI systemspowered by large language models. This role sits at the intersection of software engineering and AIimplementation focusing on building reliable scalable applications rather than model training orresearch.

Youll work with cutting-edge LLM technologies building advanced AI systems that solve complexreal-world problems through multi-agent orchestration intelligent tool integration and robustproduction workflows.

Youll be crafting the orchestration layer that makes these systems production-readyhandling failuremodes optimizing agent collaboration and ensuring consistent reliable outputs at scale.

Youll combine strong software engineering fundamentals with deep practical knowledge of LLMcapabilities limitations and best practices for building non-deterministic systems that users can trust.

Responsibilities

Design and implement production AI systems integrating LLMs RAG pipelines vectordatabases and agentic frameworks.
Create evaluation frameworks to measure and monitor system performance accuracy andreliability.
Build and maintain production-grade AI applications with clean code appropriate error handling APIs and data pipelines.
Experience implementing maintaining and evaluating retrieval systems (vector/graphdatabases ingestion pipelines chunking strategies retrieval techniques such as HyDE).
Implement feedback loops and observability to continuously improve system performance.
Craft effective prompts and optimize for latency cost and quality across different model providers and configurations.

Required Skills and Experience

Hands-on experience building applications with LLM APIs and deep understanding of their capabilities limitations and failure modes.
Practical implementation of RAG architectures vector databases knowledge graphs and prompt engineering.
Experience building multi-step LLM workflows and agentic systems using frameworks (e.g. SDK Strands Claude Agents SDK LangGraph etc.) or custom implementations where needed.
Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS GCP Azure).
Understanding of distributed systems CI/CD testing frameworks and deployment pipelines.
Solid foundations and understanding of production-grade cloud-native platform and infrastructure requirements design and implementation.
Strong data manipulation skills (pandas SQL) and understanding of evaluation strategies for LLM-based systems.
Ability to work with ambiguity and optimise non-deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs.

Nice to Haves

Experience with AI-assisted coding using tools like Claude Code OpenAI Codex Github Copilot.
Experience with fine-tuning LLMs for domain-specific applications and knowledge of when fine-tuning is preferable to prompt engineering or RAG.
Experience with real-time streaming multimodal models or search technologies like Elasticsearch.
Familiarity with model observability tools (LangSmith Weights & Biases) and cost optimization strategies.
Experience in specialized verticals (financial services energy healthcare legal retail) with understanding of compliance security and responsible AI practices.
Experience with setting up tool calling agents handoffs and guardrails.

Why Mesh-AI

Fast-growing start-up organisation with huge opportunity for career growth.
Highly competitive salary package along with company bonus.
A hugely collaborative working environment where every persons viewpoint is considered - a chance to make your mark on the business from day one!
Financially backed business meaning security and support for new initiatives and global market expansion.
Pick your own Gear! Macbooks PCs Accessories!
Drive your development with a personal learning budget.

Want to know more Get in touch with Otherwise apply here.

Required Experience:

About Mesh-AIWere a transformation consultancy and we exist to reimagine how enterprises operate making dataand AI their competitive advantage. We turn enterprises into data-driven and AI enabledorganisations unleashing business growth and accelerating outcomes.Were proud to be partnered with leadin...

Design and implement production AI systems integrating LLMs RAG pipelines vectordatabases and agentic frameworks.
Create evaluation frameworks to measure and monitor system performance accuracy andreliability.
Build and maintain production-grade AI applications with clean code appropriate error handling APIs and data pipelines.
Experience implementing maintaining and evaluating retrieval systems (vector/graphdatabases ingestion pipelines chunking strategies retrieval techniques such as HyDE).
Implement feedback loops and observability to continuously improve system performance.
Craft effective prompts and optimize for latency cost and quality across different model providers and configurations.

Required Skills and Experience

Hands-on experience building applications with LLM APIs and deep understanding of their capabilities limitations and failure modes.
Practical implementation of RAG architectures vector databases knowledge graphs and prompt engineering.
Experience building multi-step LLM workflows and agentic systems using frameworks (e.g. SDK Strands Claude Agents SDK LangGraph etc.) or custom implementations where needed.
Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS GCP Azure).
Understanding of distributed systems CI/CD testing frameworks and deployment pipelines.
Solid foundations and understanding of production-grade cloud-native platform and infrastructure requirements design and implementation.
Strong data manipulation skills (pandas SQL) and understanding of evaluation strategies for LLM-based systems.
Ability to work with ambiguity and optimise non-deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs.

Nice to Haves

Experience with AI-assisted coding using tools like Claude Code OpenAI Codex Github Copilot.
Experience with fine-tuning LLMs for domain-specific applications and knowledge of when fine-tuning is preferable to prompt engineering or RAG.
Experience with real-time streaming multimodal models or search technologies like Elasticsearch.
Familiarity with model observability tools (LangSmith Weights & Biases) and cost optimization strategies.
Experience in specialized verticals (financial services energy healthcare legal retail) with understanding of compliance security and responsible AI practices.
Experience with setting up tool calling agents handoffs and guardrails.

Why Mesh-AI

Fast-growing start-up organisation with huge opportunity for career growth.
Highly competitive salary package along with company bonus.
A hugely collaborative working environment where every persons viewpoint is considered - a chance to make your mark on the business from day one!
Financially backed business meaning security and support for new initiatives and global market expansion.
Pick your own Gear! Macbooks PCs Accessories!
Drive your development with a personal learning budget.

Want to know more Get in touch with Otherwise apply here.

Required Experience: