Senior AI Software Engineer

Xpertsoft; Portugal; Remote; EUR 65,000 - 90,000; Full time

Job summary

Xpertsoft in Portugal seeks a Senior GenAI Software Engineer to design, develop, deploy and maintain production-ready GenAI applications, including AI assistants and RAG systems. You will build Python backends, APIs and client integrations.

Lead end-to-end from discovery to production, focusing on LLM integrations, embeddings, vector databases and context management, while standardising scalable solutions for varied client environments.

Qualifications

• 5+ years of experience in software engineering.
• Strong Python backend development skills, using FastAPI or similar frameworks.
• Strong knowledge of software design and application architecture.
• Good understanding of RAG architectures, GenAI agents, context management and LLM integrations.
• Ability to deliver solutions from POC to production, covering backend development, infrastructure, deployment and integration.
• Comfortable working with cloud environments, servers, networking fundamentals, CI/CD and production operations.

Responsibilities

• Design, develop, deploy and maintain production-ready GenAI applications, including internal AI assistants, RAG systems, agents and document-processing solutions.
• Build Python backend services, APIs and integrations with client systems.
• Develop solutions using LLM integrations, MCP, embeddings, vector databases and context management.
• Take end-to-end ownership of solutions, from technical discovery and architecture through implementation, deployment, monitoring and continuous improvement.
• Standardise and package solutions for deployment across different client environments.
• Contribute to architectural decisions and define best practices for software development, GenAI evaluation, observability, scalability and maintainability.
• Understand client business needs, challenge requirements and propose pragmatic, product-oriented solutions.

Skills

Python

FastAPI

LLM integrations

RAG architectures

Context management

Vector databases

Embeddings

CI/CD

Cloud environments

Software architecture

Tools

Azure

Docker

Kubernetes

PostgreSQL

OpenAI

Job description

• Design, develop, deploy and maintain production-ready GenAI applications, including internal AI assistants, RAG systems, agents and document-processing solutions.
• Build Python backend services, APIs and integrations with client systems.
• Develop solutions using LLM integrations, MCP, embeddings, vector databases and context management.
• Take end-to-end ownership of solutions, from technical discovery and architecture through implementation, deployment, monitoring and continuous improvement.
• Standardise and package solutions for deployment across different client environments.
• Contribute to architectural decisions and define best practices for software development, GenAI evaluation, observability, scalability and maintainability.
• Understand client business needs, challenge requirements and propose pragmatic, product-oriented solutions.

Requirements

• 5+ years of experience in software engineering.
• Strong Python backend development skills, using FastAPI or similar frameworks.
• Strong knowledge of software design and application architecture.
• Good understanding of RAG architectures, GenAI agents, context management and LLM integrations.
• Ability to deliver solutions from POC to production, covering backend development, infrastructure, deployment and integration.
• Comfortable working with cloud environments, servers, networking fundamentals, CI/CD and production operations.

Nice to have

• Familiarity with the team’s technology stack: Azure AI Foundry, LangChain, LangGraph and OpenAI/Azure OpenAI.
• Experience with PostgreSQL, vector databases, embeddings and ETL/ELT pipelines.
• Experience with Azure, Docker and Kubernetes.

Also good to know

• Strong ownership mindset, autonomy and initiative.
• Ability to quickly understand new business domains and adapt to changing client contexts.
• Pragmatic approach focused on solving real business problems.
• Comfortable working in a fast-paced environment.