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Mid-level AI/generalist role in metro with broad skillset and known SaaS brand increases candidate competition.
Transferable ML/software skills but B2B integrations need domain familiarity, so moderate sensitivity.
Explicit 3+ years plus mandatory Python, LLM, and data stack skills imply moderate shortlisting strictness.
Architect and build the company’s central intelligence engine integrating data from various sources into actionable business insights.
Develop scalable middleware and API integrations connecting data stack with business tools such as CRM and marketing automation.
Implement and manage AI-driven workflows using LLMs, RAG architectures, and agentic models ensuring data accuracy and governance.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
3+ years of Python development experience with strong API development skills (FastAPI/Django) and SaaS platform integrations.
Experience building AI applications using LLM APIs, orchestration frameworks, and agent concepts.
Proficiency in SQL and familiarity with cloud data warehouses like Snowflake or BigQuery.
Experienced engineer comfortable independently architecting and coding solutions from strategic business requirements.
Skilled in integrating complex data schemas across various business functions (Sales, Product, Customer Success) and understanding their systemic impact.
Capable of rapidly adapting to diverse technical contexts, combining software engineering, AI implementation, and data analytics expertise.