Mindtickle is seeking an AI Product Engineer to build and architect the company's central intelligence engine as part of its transition to an AI-first operational model. The role requires a blend of software engineering, AI engineering, and data analytics skills to develop automated intelligence systems that synthesize insights across the organization
Job Summary
Architect and build the company’s central intelligence engine, acting as the primary builder of automated intelligence systems.
Implement Agentic workflows, RAG architectures, and LLMs to process unstructured data at scale, ensuring rigorous evaluation and guardrails.
Collaborate with Analytics Engineers to ensure data pipelines support AI applications and maintain security and privacy standards.
Matching Summary
Match Score: 85
Mindtickle is seeking an AI Product Engineer to build and architect the company's central intelligence engine as part of its transition to an AI-first operational model. The role requires a blend of software engineering, AI engineering, and data analytics skills to develop automated intelligence systems that synthesize insights across the organization.
Skills & Requirements
Must-have
Python development
API development (FastAPI/Django)
LLM APIs and orchestration frameworks
Agent concepts
SQL skills
B2B SaaS metrics
Nice-to-have
Systemic thinking
Adaptability
Builder mindset
Key Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
3+ years of experience in Python development
Proven experience building applications using LLM APIs
Strong SQL skills
Experience with APIs for major B2B tools (Salesforce, HubSpot, Zendesk, Jira, Marketo)
Experience with workflow automation tools (Airflow, Zapier/Make)