AI Engineer

myPOS

AI Engineer designing and operating production-grade AI/ML systems for myPOS. Join us to make a difference in the Fintech industry!

Posted 5/9/2026full-timeSofia • 🇧🇬 BulgariaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAssemblyAWSAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesPythonSparkSQLTerraform

About the role

Key responsibilities & impact

As an AI Engineer, you'll design, build, and operate production-grade AI/ML systems - from agentic applications and MCP-powered tools to the underlying MLOps infrastructure and data foundations that make them reliable at scale
Your work will power intelligent products and internal automation across the company, and will help shape how the organisation safely adopts AI at scale
Design and build agentic systems: single agents, multi-agent orchestration, and sub-agent patterns for complex workflows (planner/executor, supervisor/worker, hierarchical task decomposition)
Develop MCP (Model Context Protocol) servers and tools that expose internal systems, datasets, and actions to LLM-powered applications in a safe, governed, and reusable way
Implement retrieval systems (RAG, hybrid search, graph-based retrieval) including chunking, embedding, re-ranking, and context-assembly strategies
Build and maintain MLOps automation: CI/CD for models and agents, environment management, artifact handling, and versioning of prompts, models, data, and code
Implement observability for AI systems: tracing, token/latency/cost metrics, quality and drift monitoring, alerting, and incident response
Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Expose well-modelled, governed datasets and APIs that agents, tools, and downstream consumers can rely on
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
5+ years of Data or ML Engineering experience, with at least 3 years shipping AI or ML systems to production
Strong Python skills (typed code, async, testing) and solid SQL fluency
Hands-on experience building agentic applications with frameworks such as LangGraph, LlamaIndex, CrewAI, or the Anthropic/OpenAI Agents SDKs — including tool use, memory, and multi-step reasoning patterns
Practical experience with MCP or comparable tool/function-calling protocols; comfortable designing tool schemas and sub-agent boundaries
Experience with RAG architectures, vector stores (e.g. pgvector, Pinecone, Weaviate), and embedding models
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerisation (Docker), and orchestration (Kubernetes or serverless equivalents)
Comfortable building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery)
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Benefits

Comp & perks

Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full “Luxury” package health insurance including dental care and optical glasses
Meal vouchers of 102.26 EUR per month
Fully covered Multisport card
Fully covered public transport pass for Sofia
Free coffee, snacks and drinks at the office
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Annual individual training and development budget
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

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Hard Skills & Tools

PythonSQLMLOpsCI/CDRAG architecturesdata pipelinesagentic applicationsembedding modelsDevOpsIaC

Soft Skills

troubleshootingcollaborationcommunicationcontinuous improvementproblem-solvingorganizational skillsadaptabilitycritical thinkingattention to detailcreativity

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Mathematics