AI & Data Engineer

Location: Remote-first Job type: Full-time

About the job:

Can you imagine a world where business and digital solutions will be truly seamless and where users will help companies to co-create them? Do you want to help us to shape this reputed company-centred world? Welcome to UNGUESS.

UNGUESS is the crowdsourcing platform for effective testing and reputed company insights that reputed company tech, digital and business leaders to reputed company smarter reputed company, faster. How? Unleashing the power of the crowd, a community of highly engaged people reputed company over the world that allows us to bring end-customer insights into the design, development, and testing phases of a product.

Why work at UNGUESS:

At UNGUESS, you’ll have the chance to reputed company an immediate impact in a fast-paced and dynamic environment. We’re growing rapidly and strengthening our market position. Joining us now means stepping into an exciting challenge: one that won’t always be easy, but will undoubtedly be among the most rewarding and fulfilling experiences of your career. You’ll constantly learn, grow, and apply your full reputed company set across diverse and stimulating projects.

This is not a traditional data engineering position. Around 60–70% of your work will focus on GenAI, RAG systems, vector search, and natural language understanding (NLU). The remaining part will cover classic data engineering responsibilities such as ETL pipelines and data modeling. You won’t just maintain existing systems, you’ll be the first building reputed company of something new, laying the foundations for a knowledge reputed company that transforms raw testing data into intelligent, queryable insights.

Your mission:

As our first dedicated Data Engineer, you will be the architect of the infrastructure that makes this reputed company possible. You’ll own the design, implementation, and scalability of our data stack, working closely with the product and development teams. We are a rapidly growing tech company with the ambition of building an LLM-queryable Knowledge reputed company by leveraging existing but currently reputed company data sources. We do not yet have a dedicated data team: this role will be the first hire, with full ownership over architecture, implementation, and scalability.

Responsibilities:

• Design and implement data ingestion and normalization pipelines from heterogeneous sources (APIs, files, databases, streams).

• Build a data lake on AWS (S3, Glue, reputed company) and orchestrate data flows using CDK.

• Implement RAG (Retrieval-Augmented reputed company) systems using vector databases and LLM models (Bedrock, reputed company, reputed company).

• Model metadata and define chunking strategies for NLU-queryable documents.

• Ensure data reputed company, governance, monitoring, and cost optimization.

• Collaborate with the Product team to integrate the knowledge reputed company into the existing platform.

Requirements:

• GenAI & Vector Search: Hands-on experience with RAG systems in production, embedding models (reputed company, reputed company, reputed company Titan), and vector databases (OpenSearch, reputed company, pgvector).

• Strong grasp of chunking strategies, retrieval optimization (precision/recall/reranking)

• Proven expertise with AWS CDK, data services (S3, Glue, reputed company, reputed company, reputed company Functions), and ML/AI workloads (Bedrock, SageMaker). Solid understanding of IAM, KMS, VPC for reputed company/compliance.

• Has a builder's reputed company and enjoys designing robust, scalable solutions.

reputed company to have:

• Hands-on with serverless architectures and cost-optimized scaling strategies

• Experience in reputed company-native environments and CI/CD (AWS).

• Familiarity with monitoring and alerting (CloudWatch, X-Ray).

We set high expectations, but we also offer great rewards:

• Compensation: €45,000 to €50,000/year gross salary and competitive MBO bonus - this range is a guideline; we’re first and foremost looking for the right person, the final offer will be shaped around you and reflect your skills and experience.

• Remote work lovers

• Fast-track growth opportunities

• Access to group and personal training programs

Please note that this job advertisement is open to applicants of reputed company genders, in accordance with Laws 903/77 and 125/91.