Senior Ai/Ml Engineer

Jobgether SRL; Portugal; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Fully remote work model

Contract engagement

Job summary

Jobgether procura um Senior AI/ML Engineer para liderar a arquitetura de uma plataforma de orquestração de IA Agentic em ambiente remoto. O papel envolve projetar componentes modulares, agentes inteligentes e gateways de API em Python com FastAPI, integrando Claude, LangGraph e LangChain, com foco em escalabilidade e segurança.

O candidato ideal tem mais de 10 anos em software/IA, experiência em aplicações LLM em produção e forte domínio de RAG, bases de dados vetoriais e governança de IA.

Qualifications

• Experiência em desenvolvimento de aplicações baseadas em LLM em produção.
• Conhecimento avançado de Python e backend de produção.
• Experiência com LangGraph e LangChain na orquestração de fluxos de IA.
• Capacidade de projetar arquiteturas de IA Agentic escaláveis e seguras.
• Experiência com RAG e bases de dados vetoriais para recuperação de informação.
• Competência em engenharia de prompts para melhorar desempenho de modelos.
• Condução de APIs escaláveis usando FastAPI.

Responsibilities

• Liderar a arquitetura, design, desenvolvimento e implementação de uma plataforma de orquestração de IA Agentic empresarial.
• Projetar componentes de IA modulares e agentes inteligentes com arquitetura de blocos.
• Desenvolver aplicações LLM de produção utilizando Claude APIs, LangGraph, LangChain e RAG.
• Definir arquiteturas de IA agentic seguras, escaláveis e adequadas a ambientes empresariais.
• Construir APIs e serviços backend com Python e FastAPI e garantir prontidão para produção.
• Projetar soluções de recuperação aumentada por geração (RAG) com bases de dados vetoriais.
• Implementar estratégias de prompt engineering para melhorar precisão, confiabilidade e comportamento.
• Estabelecer práticas de segurança de IA e governança corporativa de IA.
• Liderar tecnicamente, orientando decisões de arquitetura e práticas de engenharia.
• Colaborar com stakeholders para traduzir requisitos complexos em soluções de IA robustas.
• Resolver desafios técnicos complexos e melhorar a confiabilidade da plataforma.

Skills

Python development

LLM‑based applications

LangGraph

LangChain

FastAPI

RAG

vector databases

prompt‑engineering

Tools

Claude API

Job description

Senior AI/ML Engineer

Empresa : Jobgether Tipo de Emprego : Periodo Integral Remote / Work from Home JobCopilot will tailor your resume and auto-fill the application

Descrição do Emprego - Senior AI/ML Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI/ML Engineer based in Portugal.

This is a senior-level opportunity to architect and build an enterprise-grade Agentic AI orchestration platform from the ground up. You will design scalable AI systems that combine large language models, retrieval, multi-agent workflows, and reusable AI components. The role offers deep hands‑on exposure to technologies such as Claude, LangGraph, RAG, vector databases, and MCP. You will shape modular AI architectures that can support intelligent agents and reusable capabilities across enterprise use cases. Beyond engineering, you will provide technical leadership and make key architectural decisions around scalability, security, and reliability. You will work in a remote environment where strong communication, problem‑solving, and ownership are essential. This role is particularly suited to an experienced AI/ML professional who wants to influence the architecture of production‑grade generative AI systems.

Accountabilities

• Lead the architecture, design, development, and implementation of an enterprise-grade Agentic AI orchestration platform.


• Design modular, reusable AI components and intelligent agents using a “Bricks” / multi‑node architecture.


• Develop production‑grade LLM applications leveraging Claude APIs, LangGraph, LangChain, advanced prompt engineering, RAG, vector databases, MCP, and multi‑agent workflows.


• Define and implement agentic AI architectures that are scalable, maintainable, secure, and suitable for enterprise environments.


• Build scalable APIs and backend services using Python and FastAPI, ensuring reliability and production readiness.


• Design retrieval‑augmented generation solutions and integrate vector databases to support accurate and context‑aware AI applications.


• Develop sophisticated prompt‑engineering strategies to improve model performance, reliability, and consistency.


• Establish AI security and responsible AI practices, particularly when working with enterprise or regulated data.


• Provide technical leadership across architecture and engineering decisions, establishing best practices and guiding implementation.


• Evaluate technical trade‑offs involving scalability, performance, security, maintainability, and AI model capabilities.


• Collaborate with technical and business stakeholders to translate complex requirements into robust AI solutions.


• Troubleshoot complex technical challenges and continuously improve the platform’s reliability, performance, and capabilities.

Requirements

• 10+ years of overall experiencein software engineering and/or AI/ML, with senior‑level architecture and engineering responsibilities.


• Strong professional experience building and operating LLM‑based applications in production.


• Advanced Pythondevelopment skills and experience building production‑quality backend systems.


• Hands‑on experience working with the Claude API, including integration into real‑world AI applications.


• Strong experience with LangGraph and/or LangChain, including orchestration of complex AI workflows.


• Proven experience designing and implementing Agentic AI architecturesand multi‑agent systems.


• Strong knowledge of Retrieval‑Augmented Generation (RAG)and practical experience with vector databases.


• Advanced prompt‑engineeringcapabilities, with an understanding of techniques for improving LLM accuracy, reliability, and behavior.


• Experience designing and developing scalable APIs using FastAPI.


• Strong understanding of AI security, responsible AI, privacy, and enterprise AI governance.


• Experience working with enterprise‑scale or regulated data environments where security, compliance, and reliability are critical.


• Strong software architecture skills and the ability to make sound technical decisions in complex environments.


• Proven technical leadership capabilities, including influencing architecture, guiding engineering practices, and mentoring technical teams.


• Excellent communication, collaboration, analytical thinking, and complex problem‑solving skills.


• Ability to work independently in a remote environment while maintaining strong ownership and delivery focus.

Benefits

• Fully remote work model.


• Contract engagement.


• Opportunity to work on an enterprise‑grade Agentic AI platform using advanced generative AI technologies.


• Hands‑on exposure to Claude, LangGraph, LangChain, RAG, vector databases, MCP, multi‑agent systems, and modern AI architectures.


• Opportunity to influence architectural decisions and shape reusable AI components and intelligent‑agent capabilities.


• Senior‑level technical ownership with significant impact on the design and evolution of the platform.


• Experience working with enterprise and potentially regulated data environments.


• International, technology‑focused environment with opportunities to solve complex AI/ML engineering challenges.