AI Engineer

We are looking for technically strong, pragmatic engineers with a primary focus on AI, including hands-on experience with Generative AI and large language models (LLMs). Candidates should also bring solid software engineering practices and a good data background, enabling them to build, deploy, and operate-driven solutions in production. We value engineers who collaborate openly, adapt quickly, and focus on delivering practical, usable outcomes., * Data & Analytics Engineering

• Strong SQL and experience working with large analytical datasets
• Familiarity with distributed data platforms (e.g., Spark, Trino, Databricks)
• Understanding of data modelling, joins, aggregations, and performance trade-offs

• MLOps & AI Platform Operations

• Experience operationalizing ML and LLM-based systems in production environments
• Familiarity with model lifecycle management (training, versioning, deployment, rollback)
• Understanding of monitoring and observability for ML systems (performance, drift, data quality)
• Experience with automation around pipelines, evaluations, and deployments
• Awareness of scalability, reliability, and cost considerations for AI workloads

• Evaluation, Reliability & Safety

• Understanding of AI evaluation approaches (offline tests, benchmarks, qualitative review)
• Familiarity with logging, monitoring, and debugging AI-driven systems
• Awareness of common AI risks (hallucinations, bias, drift) and mitigation strategies

• Software Engineering Practices

• Strong coding fundamentals and testing discipline
• Experience with CI/CD pipelines and production environments
• Comfortable working with evolving requirements and iterative delivery, * Demonstrated +5 years of experience in data engineering and AI/system development in a production environment

• Proven ability to ship iterative, user-focused solutions with attention to reliability and safety
• Strong communication skills and a collaborative mindset
• Experience in analytics or trading domains
• Experience with vector databases, retrieval-augmented generation (RAG), or LM-based tooling in production

• A highly competitive compensation package.
• Medical insurance.
• The chance to join an organization with triple digit growth that is changing the paradigm on how software products are built.
• The opportunity to form part of an amazing, multicultural community of tech experts.

Come and join our #ParserCommunity.