About the job
About Gapstars
Gapstars is an innovative software development service provider based in the Netherlands. We specialize in creating remote, agile teams in Sri Lanka and Portugal, partnering with ambitious tech companies to help them conquer their markets. With a talented workforce of over 300 TechStars, we focus on transforming scalable software into high-performance products that shape the future of technology.
About the Role
We are on the lookout for a pragmatic AI Engineer to bridge robust software engineering practices with the dynamic field of applied AI. In this role, you will design, build, and evaluate AI systems that are not only reliable and measurable but also genuinely useful beyond mere demonstrations.
You will collaborate closely with data scientists, software engineers, and product managers to deliver impactful AI solutions. Your approach prioritizes evaluation over hype, automation for efficiency, and simplicity for high performance in production, particularly within the life sciences sector.
Responsibilities
Develop and deploy AI-driven applications from prototypes to production using cutting-edge LLM frameworks and APIs.
Design evaluations and metrics that accurately measure real-world performance, including accuracy, latency, user experience quality, and safety.
Construct and enhance Retrieval-Augmented Generation (RAG) pipelines that integrate vector databases with LLMs.
Implement data pipelines, retraining workflows, and monitoring tools to maintain the currency and performance of AI models.
Develop and execute context engineering strategies to enhance output quality and mitigate hallucination risks.
Work alongside product, platform, and infrastructure teams to comprehend business requirements and develop scalable, resilient systems.
Apply pragmatic agentic AI patterns, such as tool use, planning, and reflection loops, selecting the appropriate complexity for each application.
Promote best engineering practices, including code reviews, testing, observability, CI/CD, and reproducibility.
Ensure that AI solutions adhere to security, compliance, and explainability standards.
