AI & Data Engineer
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Job Location:
Yearly Salary:
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
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 human-centred world Welcome to UNGUESS.
UNGUESS is the crowdsourcing platform for effective testing and real insights that enable tech digital and business leaders to make smarter decisions faster. How Unleashing the power of the crowd a community of highly engaged people all 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 youll have the chance to make an immediate impact in a fast-paced and dynamic environment. Were growing rapidly and strengthening our market position. Joining us now means stepping into an exciting challenge: one that wont always be easy but will undoubtedly be among the most rewarding and fulfilling experiences of your career. Youll constantly learn grow and apply your full skill set across diverse and stimulating projects.
This is not a traditional data engineering position. Around 6070% 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 wont just maintain existing systems youll be the first building block of something new laying the foundations for a knowledge base 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 vision possible. Youll 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 Base by leveraging existing but currently unstructured 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 Athena) and orchestrate data flows using CDK.
- Implement RAG (Retrieval-Augmented Generation) systems using vector databases and LLM models (Bedrock OpenAI LangChain).
- Model metadata and define chunking strategies for NLU-queryable documents.
- Ensure data security governance monitoring and cost optimization.
- Collaborate with the Product team to integrate the knowledge base into the existing platform.
Requirements:
- GenAI & Vector Search: Hands-on experience with RAG systems in production embedding models (OpenAI Cohere Amazon Titan) and vector databases (OpenSearch Pinecone pgvector).
- Strong grasp of chunking strategies retrieval optimization (precision/recall/reranking)
- Proven expertise with AWS CDK data services (S3 Glue Athena Lambda Step Functions) and ML/AI workloads (Bedrock SageMaker). Solid understanding of IAM KMS VPC for security/compliance.
- Has a builders mindset and enjoys designing robust scalable solutions.
Nice to have:
- Hands-on with serverless architectures and cost-optimized scaling strategies
- Experience in cloud-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: 45000 to 50000/year gross salary and competitive MBO bonus -this range is a guideline; were 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 all genders in accordance with Laws 903/77 and 125/91.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
