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Remote hiring plus broad ML and cloud skill requirements increases applicant competition.
Specialized LLM, RAG, and multi-tenant SaaS experience reduces cross-industry portability.
Explicit 10+ years and many mandatory AI, cloud, and deployment skills create strict shortlisting filters.
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Design, build, and architect scalable AI capabilities integrated into a SaaS platform used for business automation.
Develop and maintain robust, 24/7/365 AI-driven systems utilizing technologies such as LLM, RAG, LangChain, and cloud AI services (Azure AI, AWS Bedrock, OpenAI).
Collaborate with cross-functional remote teams to define, design, and ship new AI features and mentor other engineers.
10+ years of experience building large-scale cloud-based distributed and multi-tenant SaaS applications.
Strong expertise in AI technologies including LLM models, RAG, LangChain, and LlamaIndex.
Proficient in Python and Java; experience with NLP libraries (spaCy, NLTK, Hugging Face Transformers) and model deployment frameworks.
Experience with microservices, cloud architectures, container orchestration (Docker, Kubernetes), ETL, data stores (MongoDB, AWS DocumentDB, SQL Server, MySQL), and CI/CD pipelines.
Work Experience Required: 10+ years in relevant technologies and roles.
Performance level: English proficiency at C1 level.
Work Location: Remote (distributed, remote-friendly environment).
Senior engineer capable of leading design and architectural decisions in AI-driven SaaS platforms targeting business automation.
Experienced in delivering high reliability, scalability, and maintainability for cloud-based AI systems within fast-paced remote teams.
Demonstrated ability to mentor and collaborate across functions, driving data-driven decision making using cutting-edge AI and cloud technologies.