ai engineer in financial services

HireHi; Lisboa; Híbrido; EUR 43 000 - 53 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Страхование здоровья

TR карта

CSE

Возможности постоянного обучения

Обучение на рабочем месте

Поддерживающее руководство

Resumo da oferta

Consort Group ищет инженера AI в португальский рынок через Consort Portugal. В обязанности входят разработка агентов на Python с LangGraph и LangChain, настройка рабочих процессов агентов и интеграции через REST/gRPC APIs.

Требуется 6+ лет в Python, 1–2 года в GenAI, знание Docker/Kubernetes, опыт работы с агент-фреймворками и англ. язык на уровне C1. Предлагается гибридная работа в Лиссабоне, контракт на постоянной основе, страхование здоровья и обучение.

Qualificações

• 6+ лет опыта в Python
• 1–2 года практического опыта разработки LLM/GenAI
• Практический опыт создания AI-приложений с архитектурами агентов, API и облачными средами
• Сильный опыт Python и GenAI
• Опыт работы с хотя бы одним фреймворком агента (CrewAI, LangGraph, LangChain, AutoGen)
• Понимание ReAct-циклов, вызова инструментов и структурированных выходов
• Знания в области инженерии подсказок, паттернов RAG и оценки LLM
• Опыт работы с REST/gRPC API, знание JSON-схем и асинхронного Python
• Базовые знания Docker и Kubernetes
• Опыт pytest, мокирования LLM и детерминированного тестирования

Responsabilidades

• Design, develop and continuously improve AI agents using Python, LangGraph, LangChain and agent frameworks.
• Design agent workflows covering task decomposition, tool/function calling, state and memory management, guardrails and human-in-the-loop controls.
• Develop integrations with REST/gRPC APIs and external tools.
• Engineer, test and version prompts and agent configurations.
• Build evaluation frameworks using golden datasets, regression test suites and quality metrics.
• Adapt and localize AI agents to business requirements, terminology and workflows.
• Implement observability and monitoring for agent behaviour, latency, token usage and failure modes.
• Contribute to model lifecycle management and optimise cost, performance and context-window usage.
• Monitor and maintain AI agents in production environments.
• Investigate and resolve production issues related to agent behaviour and reliability.
• Support deployment and configuration management using Docker, Kubernetes and ConfigMaps.
• Analyze production feedback and improve agent performance and user experience.
• Participate in shadow testing and controlled rollouts.
• Collaborate with Business Analysts to translate processes into reliable AI behaviours.

Conhecimentos

Python

LLM/GenAI

Agent architectures

REST/gRPC

Docker

Kubernetes

Prompt engineering

JSON schema

pytest

Communication

Ferramentas

LangGraph

LangChain

CrewAI

AutoGen

Descrição da oferta de emprego

Описание: Consort Group helps companies leverage their data and infrastructure. Consort Portugal supports clients’ strategic offshoring choices in Europe and provides infrastructure services to the Portuguese market through a nearshore Service Center.

Задачи:

• Design, develop and continuously improve AI agents using Python, LangGraph, LangChain and agent frameworks.
• Design agent workflows covering task decomposition, tool/function calling, state and memory management, guardrails and human-in-the-loop controls.
• Develop integrations with REST/gRPC APIs and external tools.
• Engineer, test and version prompts and agent configurations.
• Build evaluation frameworks using golden datasets, regression test suites and quality metrics.
• Adapt and localize general-purpose AI agents to business requirements, terminology, workflows and operational controls.
• Implement observability and monitoring for agent behaviour, latency, token usage and failure modes.
• Contribute to model lifecycle management and optimise cost, performance and context-window usage.
• Monitor and maintain AI agents in production environments.
• Investigate and resolve production issues related to agent behaviour, integrations, performance and reliability.
• Support controlled deployment and configuration management using Docker, Kubernetes and ConfigMaps.
• Analyse production feedback and improve agent performance and user experience.
• Participate in shadow testing, regression testing and controlled rollouts.
• Collaborate with Business Analysts and operational teams to translate business processes into reliable AI behaviours.

Требования:

• 6 Years of experience in Python software engineering.
• 1 To 2 years of hands-on experience developing LLM/Generative AI applications.
• Practical experience building AI-powered applications with agentic architectures, APIs and cloud-native environments.
• Strong experience in Python engineering and LLM/GenAI applications.
• Experience with at least one agent framework, such as CrewAI, LangGraph, LangChain, AutoGen or similar.
• Understanding of ReAct-style loops, tool calling and structured outputs.
• Solid knowledge of prompt engineering, RAG patterns and LLM evaluation techniques.
• Experience consuming REST/gRPC APIs, with knowledge of JSON schema design and async Python.
• Working knowledge of Docker and Kubernetes basics.
• Experience with pytest, mocking LLM calls and deterministic test design for non-deterministic systems.
• Strong communication skills and ability to explain technical concepts to technical and non-technical stakeholders.
• Collaborative, open-minded, analytical, autonomous and solution-oriented.
• Strong attention to detail and ability to manage priorities in a demanding production environment.
• Adaptable in a rapidly evolving AI environment.
• Client-focused, proactive and results-driven, with a strong sense of ownership.
• English at C1 level.

Условия:

• Gross annual salary from 43 K€ to 53 K€, depending on experience.
• Hybrid work at the Lisbon location, 50%.
• Permanent contract.
• Health insurance, TR card and CSE.
• Continuous training opportunities.
• Attentive and human onboarding.
• Hands-on management style.
• Inclusion, equality and solidarity commitments.
• Feedback culture and meaningful projects.
• The recruitment process includes an initial phone call, an HR interview and job interview, a test or technical interview, and a final meeting with the future manager or project manager.