Job Openings AI DEVELOPER

About the job AI DEVELOPER

Job Summary:
The AI Developer will integrate AI capabilities into existing SaaS products and build new AI-powered components. This role will focus on the application layer, connecting and leveraging existing AI tools (e.g. OpenAI, Claude, open-source models) rather than foundational AI research. The AI Developer will work closely with product and engineering teams to implement AI-driven features, optimize API integrations, and ensure scalable deployment in real-world applications.

Key Responsibilities:

  • AI Integration: Implement and optimize AI components (e.g. OpenAI, Claude, LangChain) into SaaS products

  • API Development: Build and maintain robust backend services that interact with AI/ML APIs

  • Full-Stack Collaboration: Work across the stack (backend-focused, with some frontend awareness) to deploy AI-powered features

  • Cloud Deployment: Deploy and scale AI services on cloud platforms (AWS, GCP or Azure)

  • Database Management: Work with relational (PostgreSQL) and/or NoSQL (MongoDB) databases; bonus if experienced with vector databases

  • Performance Optimization: Ensure AI integrations are efficient, cost-effective, and scalable

  • Testing and Monitoring: Implement observability and logging for AI-driven features to ensure reliability

Qualifications and Skills:

  • Strong full-stack or backend development experience (Python, Node.js or TypeScript preferred)

  • Hands-on experience with OpenAI, Claude, LangChain or similar frameworks

  • Familiarity with deploying services on AWS, GCP or Azure

  • Experience with PostgreSQL, MongoDB or equivalent; vector DBs (e.g. Pinecone, Weaviate) a plus

  • Proficiency in building and integrating RESTful/gRPC APIs

  • Ability to debug and optimize AI-driven workflows

  • Experience with AI model fine-tuning, RAG (Retrieval-Augmented Generation) or LLM orchestration

  • Familiarity with containerization (Docker, Kubernetes): nice-to-have (not required)

  • Knowledge of CI/CD pipelines for AI model deployments: nice-to-have (not required)

  • Previous work on SaaS or enterprise software products: nice-to-have (not required)

Schedule:

  • Full-time

  • Work schedule to be determined


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