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Remote role, broad AI skill requirements, and metro candidate pool increase competition.
Deep LLM, NLP, and SaaS expertise required limits cross-industry transferability.
Explicit 10+ years plus many mandatory AI, cloud, and deployment skills creates strict filters.
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Design, architect, and build scalable, robust AI-driven backend systems for a cloud-based SaaS integration platform.
Develop and integrate advanced AI capabilities using technologies such as LLM, RAG, LangChain, and cloud AI services.
Collaborate with cross-functional teams to define, design, and ship new AI features ensuring 24/7/365 system reliability.
10+ years of experience building large-scale cloud-based distributed applications and multi-tenant SaaS platforms.
Proficiency in Python and Java, plus experience with NLP libraries (spaCy, NLTK, Hugging Face Transformers) and model deployment frameworks (TensorFlow Serving, MLflow, Kubernetes).
Hands-on experience with microservices, cloud architectures, ETL, data pipelines, and top-tier datastores like MongoDB, AWS DocumentDB, SQL Server, MySQL.
Work Experience Required: 10+ years; Must have strong English communication skills at C1 level; Remote work capability.
Senior-level engineer experienced in AI-driven, scalable SaaS applications with deep expertise in LLMs and cutting-edge AI tooling.
Skilled in remote collaboration, cross-functional teamwork, and mentoring less experienced engineers.
Strong background in designing and deploying distributed systems on cloud platforms using container orchestration, CI/CD pipelines, and infrastructure as code.