Connector Developer (Applied AI Engineering)

TL;DR

Connector Developer (Applied AI Engineering): Developing and maintaining AI-powered integrations and automations for the core platform with an accent on secure API integration, data synchronization, and utilizing generative AI techniques. Focus on prompt engineering for LLMs, building resilient system architectures, and driving decision-making through data analysis.

Location: Based in Ljubljana, Slovenia

Company

hirify.global is building an AI teammate called Computer, a platform that unifies data, provides insights, and enables seamless human-AI collaboration for teams and customers.

What you will do

• Design, develop, implement, and maintain integrations and automations to integrate hirify.global with customer tech stacks and workflows.
• Integrate hirify.global with other SaaS and non-SaaS systems through APIs, Webhooks, and real-time communication architectures.
• Utilize AI, including Generative AI and prompt engineering for LLMs, to solve customer problems and enable great AI agent experience.
• Conduct data analysis, writing SQL queries, and building dashboards to share insights and drive decision-making.
• Proactively communicate and maintain constant feedback loops with all key stakeholders.
• Learn new tools and guide customers through critical workflows, such as integration with code repositories.

Requirements

• 3+ years in integration software development, focusing on designing, implementing, and scaling complex, customer-facing solutions using Webhooks and APIs (ETL).
• Hands-on experience with TypeScript/JavaScript, Python, and SQL.
• Proven ability to build resilient and scalable integrations by prioritizing maintainable design patterns and utilizing strategies like rate limiting, retries, and exponential backoff.
• Solid understanding of secure API integration practices (OAuth, API key/token management, secrets handling).
• Expertise in managing large-scale data synchronization, proficiently handling data mapping, transformation, and schema alignment across diverse systems, including familiarity with data modeling and graph data structures.
• Skilled in applying event-driven and pub/sub architectures for reactive integrations and implementing clear logging and actionable error surfacing for observability.
• Proficient in working with OpenAPI specifications and integrating third-party SDKs, with experience writing concise, well-structured documentation.

Nice to have

• Experience with Model Context Programming (MCP) for context-aware integrations.
• Hands-on experience deploying integrations on serverless and edge compute platforms (e.g., AWS Lambda, Google Cloud Functions).
• Advanced certifications in AI or relevant technologies/architecture frameworks.

Culture & Benefits

• Culture built on hunger, humility, honesty, and heart.
• Vision to help build the earth’s most customer-centric companies.
• Mission to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers.
• Focus on bringing people together, breaking down silos, and ushering in the future of teamwork through human-AI collaboration.
• Opportunity to solve bigger problems, build better products, and make customers happier.