Senior AI Engineer, REMOTE

·
BSc/MSc
in Computer Science, Engineering, or a related field.

·
5+
years of professional experience in backend development using Golang
(preferred), Java, or Python.

·
2+
years of hands-on experience developing and deploying production GenAI
applications.

·
Strong
understanding of vector databases and semantic retrieval techniques.

Practical
experience with LLMs and prompt engineering, including the use of APIs and
tools.

·
Experience
with agentic architectures and AI orchestration frameworks, such as LangChain,
Genkit, or similar tools.

·
Solid
understanding of the full software development life cycle, including CI/CD
pipelines, testing, and deployment on Cloud.

·
Experience
working in cross-functional teams, collaborating with product and program
managers to deliver features on time and with high quality.

·
Experience
optimizing, monitoring, and testing LLM-based applications.

·
Genuine
passion for emerging GenAI technologies and innovation in the AI field.

·
Strong
teamwork and collaboration skills, with a proactive and solution-oriented
mindset.

·
Commitment
to continuous learning

,[Design, develop, and maintain intelligent backend systems that combine LLMs, retrieval systems, and custom APIs, ensuring high performance, scalability, and reliability., Participate in team discussions and conduct code reviews, ensuring high standards for GenAI applications’ code quality, security, maintainability, and best practices (testing, CI/CD, observability, documentation)., Stay up to date with generative AI trends by proposing, researching, and integrating new technologies (e.g. vector databases, agent frameworks, LLM observability tools) to enhance AI capabilities., Collaborate cross-functionally with front-end developers, data scientists, and product managers to define requirements and design and deliver robust end-to-end solutions., Monitor and improve existing AI systems, identifying opportunities for optimization, cost efficiency, and performance enhancement.] Requirements: Machine learning, AI, Go, Python Tools: .
Data publikacji: 2026-07-01
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