Freelance Full-Stack AI Automation

What we’re looking for

• Salesforce integration experience (e.g., working with objects/fields, authentication, data sync patterns).
• Proficiency in Python or Node.js for building backend services and automation logic.
• Experience building AI-powered automation and/or classification tools (including model usage, evaluation approach, or rule + model scoring pipelines).
• Hands-on experience integrating third-party services and APIs (authentication, rate limits, data shaping, and reliability concerns).
• Strong English communication to clarify requirements, report progress, and discuss trade-offs.
• Professional mindset for freelance delivery: structured updates, clear ownership, and timely milestone completion.

President

• Design and implement the full-stack features required for prospect discovery, enrichment, qualification, and scoring.
• Integrate with Salesforce to sync qualified leads (including mapping fields, handling identifiers, and ensuring data consistency).
• Build or integrate AI-powered automation/classification components used to determine lead relevance and assign scores.
• Connect and orchestrate third-party services and APIs for prospect discovery, enrichment, and data normalization.
• Ensure the system supports repeatable runs, error handling, logging, and safe retries where appropriate.
• Collaborate on requirements and deliverables, aligning on architecture decisions, milestones, and testing strategy.
• Deliver clean, maintainable code and documentation sufficient for the project handoff.

Desirable (but not required)

• Experience with lead enrichment workflows (data deduplication, normalization, and entity resolution concepts).
• Prior work integrating AI scoring with operational pipelines (batch vs. near-real-time scoring patterns).
• Familiarity with Salesforce data model best practices and strategies to prevent duplicates.
• Experience with API reliability patterns (backoff/retry, idempotency, monitoring) for automation jobs.

Engagement notes