Senior Full Stack Engineer (Python/React)

At Forager.ai, we deliver premier workforce data encompassing people, contacts, organizations, jobs, and intent signals. Our solutions empower recruiting and sales platforms, AI-driven models, custom audience creation, and more, with delivery through APIs, data feeds, and CRM integrations.

Required Experience:

• 5+ years building and operating production web applications and APIs.
• Strong proficiency in Python/Django and React/TypeScript.
• Hands-on experience operating Elasticsearch at scale including schema design, query tuning, and cluster management.
• Production experience with PostgreSQL, Redis, and async task systems (Celery/RabbitMQ or equivalent).
• Demonstrated track record building and operating ETL pipelines handling significant data volumes.
• Comfortable with AWS (ECS, S3, CloudWatch) and CI/CD pipelines (GitHub Actions or equivalent).
• Experience operating services in production including observability, on-call, and incident response.
• Strong written communication skills and ownership of documentation.

AI & Agentic Workflows (Required):

• Strong, hands-on fluency with AI coding tools (Claude Code, Cursor, Copilot, or equivalent).
• Experience designing, orchestrating, and debugging multi-step agent pipelines.
• Judgment on when to delegate to AI agents versus manual coding and maintaining agent control for production.

Nice to Have:

• Experience with Snowflake or other data warehouses.
• Background in B2B data products including enrichment, contact data, company data, and search/discovery.
• Experience with web crawling, data sourcing, or large-scale ingestion systems.
• Open-source contributions or public technical writing.

Product & Application Development:

• Build and maintain Forager's customer-facing web app (React, TypeScript, Django/Python).
• Implement and maintain RESTful APIs for integrations, feeds, and platform customer workflows.
• Develop scalable backend services including workers, task queues, and data pipelines.
• Participate actively in product planning to prioritize features with high customer impact.

Search, Data Layer & ETL:

• Build and operate Elasticsearch indices for people/company search including schema, ingestion, relevance, and scaling.
• Design and operate ETL applications moving data into searchable stores, feeds, and warehouses (Snowflake, S3).
• Optimize PostgreSQL performance including query performance, indexing, and cache utilization.
• Drive improvements in latency, uptime, error rate, and scalability.

DevOps & Infrastructure:

• Own day-to-day AWS infrastructure (ECS, S3) alongside DevOps.
• Operate CI/CD, observability (Grafana, CloudWatch, Sentry), and on-call response.
• Share crawler infrastructure maintenance with the team.

Collaboration & Quality:

• Conduct code reviews with high standards for readability, security, and performance.
• Write unit, integration, and E2E tests.
• Document features, architecture, and API contracts.

This role is a global opportunity that requires a 4 hour overlap with US Mountain Time.