7 часов назад
Forward Deployed Engineer (Senior, Python, AI/ML)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (Senior, Python, AI/ML) (Python/Generative AI/LLMs): Building practical AI-powered applications and integrations for customer business and technical challenges with an accent on application engineering, APIs, cloud platforms, and Generative AI. Focus on prototyping, integrating, testing, and deploying LLM features, AI agents, and production-ready solutions in collaboration with clients and engineering teams.
Company
is a global digital product engineering partner that designs, builds, and scales custom technology solutions for forward-thinking businesses.
What you will do
- Build practical applications and backend services using Python, AI/ML, Generative AI, and LLMs.
- Translate business and product requirements into technical solutions with support from senior engineers.
- Integrate APIs, third-party services, cloud platforms, and modern AI capabilities.
- Develop prototypes and proofs of concept, then evolve validated solutions into production applications.
- Collaborate directly with clients, product teams, engineers, and architects throughout the solution lifecycle.
- Experiment with AI agents, agent orchestration, tool calling, and AI-powered workflows.
Requirements
- Strong Python proficiency and experience building applications, backend services, or APIs.
- Solid software and application engineering fundamentals, including development, testing, debugging, and deployment.
- Practical experience with AI/ML, Generative AI, and Large Language Models.
- Experience with APIs, system integrations, and at least one major cloud platform such as AWS, Azure, or GCP.
- Working knowledge of TypeScript, modern application development, solution architecture, and AI-powered workflows.
- Strong communication, problem-solving, collaboration, and learning skills.
Nice to have
- Customer-facing experience in consulting, professional services, or solutions engineering.
- Experience with RAG, AI agents, vector databases, embeddings, and semantic search.
- Exposure to MLOps, model deployment, monitoring, AI observability, modern data platforms, or AI infrastructure.
- Experience taking AI-powered features from prototype to production.
Culture & Benefits
- Fully remote work within a global team.
- Collaboration with experienced engineers and architects.
- Opportunities to work on real-world customer applications and emerging AI technologies.
- Exposure to application engineering, cloud technologies, APIs, and modern AI systems.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →