Mondia Group

Mobile commerce platform connecting 700M users

Agentic AI Engineer

AI Application EngineeringPosted on Nov 10

Full-timeMadrid, Spain

About the Job

Requirements

At least 4 years of professional software engineering experience in Python, including hands-on command of async programming, typing, packaging, performance, and writing clean, maintainable code.
At least 1 year of experience building LLM or agentic systems, including tool use or function calling, orchestration, prompting, and evaluation.
Strong problem-solving and debugging ability on ambiguous, real-world production problems.
Solid Postgres experience, including schema design, query optimization, and extensions such as pgvector.
Experience shipping and operating production services, including testing, CI/CD, observability, and an on-call mindset.
Comfort with Git-based workflows and code review.
Experience automating unit, integration, functional, security, and performance testing.
Experience integrating with developer tooling and CI/CD systems.
At least 6 months of demonstrated experience building with Claude Code in a development workflow.

Responsibilities

Implement agent logic, tools, and orchestration against the given architecture.
Build and tune RAG pipelines, including ingestion, embeddings, retrieval, re-ranking, and evaluation.
Design and optimize Postgres schemas, queries, and vector indexes for production load.
Build the test-generation and test-execution engine for the AI Code Pipeline.
Integrate with Git, CI/CD, and internal services.
Build evaluation harnesses, observability, and guardrails so agents are measurable and safe.
Own the reliability, latency, and cost of the systems shipped.
Write clean, typed, well-tested Python and participate actively in code review.

Agentic AI Engineer

Mondia Group · Madrid, Spain (Hybrid) · Full-time · Posted 2026-11-10

Workplace: hybrid

Department: Mondia Group

Description

We're building production AI agents that change how our engineering org ships code and how employees work with internal knowledge. You'll join a small, high-ownership team. You'll write the agent logic, the tools, the data layer, and the pipelines that make them dependable at scale. Turn architecture into reliable, well-tested, production-grade systems.

Role and Responsibilities :

Implement agent logic, tools, and orchestration against the given architecture.
Build and tune RAG pipelines: ingestion → embeddings → retrieval → re-ranking → evaluation
Design and optimize Postgres schemas, queries, and vector indexes for production load
Build the test-generation and test-execution engine for the AI Code Pipeline
Integrate with Git, CI/CD, and internal services
Build evaluation harnesses, observability, and guardrails so agents are measurable and safe
Own the reliability, latency, and cost of the systems you ship
Write clean, typed, well-tested Python and participate actively in code review

Requirements

4+ years of professional software engineering in Python, with deep, hands-on command of the language : async, typing, packaging, performance, and clean, maintainable code
1+ years building LLM / agentic systems — tool use / function calling, orchestration, prompting, and evaluation
Strong problem-solving and debugging on ambiguous, real-world production problems.
Solid Postgres experience: schema design, query optimization, and extensions (pgvector)
Experience shipping and operating production services — testing, CI/CD, observability, on-call mindset
Comfort with Git-based workflows and code review
Automating software testing: unit, integration, functional, security, performance
Integrating with developer tooling and CI/CD systems
6+ months of demonstrated experience building with Claude Code in a development workflow

Benefits

Hybrid Office - 13 WFH days per quarter
Company bonus
Ticket Restaurant
Private Health Insurance
Flat hierarchies and short decision-making paths
Cooperation in a highly motivated, young, international team spread across 3 continents
An attractive location in a creative and modern office

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Apply at Mondia Group

About the Company

Mondia Group

Mobile commerce platform connecting 700M users

Mondia connects, digitalises and monetises consumers worldwide through a network of mobile operators, giving access to over 700 million users across 60 operators in 30 countries. It delivers digital services via its operator relationships and technology stack, reaching end users and monetising activities, with ventures like Monsooq extending into new sectors such as health. It differentiates itself with its broad operator reach, geographic coverage across Europe, the Middle East and Africa, market insight, and the ability to combine partnerships with leading technologies to address business challenges. Its goal is to digitalise the globe by expanding its technology, partnerships, and global network to create scalable digital services for a wide range of customers.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Hemau, Germany
Founded: 1999

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