Senior Ai Software Engineer

ResponsibilitiesCollaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows.Implement optimized vector storage and indexing systems for NLP.Develop tools and frameworks for prompt management, automated evaluations, and observability.Monitor and improve agentic systems performance for accuracy and efficiency.Provide ongoing support, troubleshoot issues, and implement updates for ML solutions.Build and maintain data processing pipelines for high volumes of structured and unstructured data.Integrate third?party AI APIs (internal and external) to extend the functionality of systems.Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency.Build and extend internal products on top of the LangChain ecosystem (LangGraph, LangSmith) to support prompt management, evaluation, and agent orchestration across the team.Must?have SkillsBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience.4+ years of industrial experience in a machine learning engineering or data engineering role.Strong programming skills in Python and/or another high?level language commonly used in machine learning.Familiarity with cloud?based infrastructure and services (e.g., AWS and GCP), Docker, and the Git version control system.Familiarity with consuming and integrating APIs in a reliable and secure manner.Experience deploying LLMs, implementing automated evaluation pipelines (LLM?as?a?judge), and architecting multi?agent systems that utilize tool?calling and long?term memory to solve non?linear problems.What we offerHealth benefits & wellness programsSavings & retirement plansGlobal mobility opportunitiesFlexible work policy and remote?friendly approachHappy hours, gaming tournaments, sports activities & moreContinuous learning & training programs with WizeAcademyFree certifications in cloud technologies and coding languages#J-*****-Ljbffr

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience. 4+ years of industrial experience in a machine learning engineering or data engineering role. Strong programming skills in Python and/or another high?level language commonly used in machine learning. Familiarity with cloud?based infrastructure and services (e.g., AWS and GCP), Docker, and the Git version control system. Familiarity with consuming and integrating APIs in a reliable and secure manner. Experience deploying LLMs, implementing automated evaluation pipelines (LLM?as?a?judge), and architecting multi?agent systems that utilize tool?calling and long?term memory to solve non?linear problems.

Health benefits & wellness programs Savings & retirement plans Global mobility opportunitiesFlexible work policy and remote?friendly approach Happy hours, gaming tournaments, sports activities & more Continuous learning & training programs with WizeAcademy Free certifications in cloud technologies and coding languages #J-*****-Ljbffr