Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform
Integrate and orchestrate ML models and third-party ML APIs (e.g., LLM providers, recommendation engines, embeddings services) into production systems
Build data pipelines and infrastructure to support model serving, feature storage, and real-time personalization
Collaborate closely with product, mobile, and design teams to translate ML capabilities into user-facing features
Own the reliability, performance, and scalability of ML-adjacent backend systems
Develop clean, maintainable, and well-documented code aligned with defined project scope
Provide clear documentation of architectural decisions, implementation details, and handoff materials upon project completion
Provide input on feature scope and sequencing to support timely and successful delivery of project deliverables

5+ years of professional software engineering experience, with a strong focus on backend development
Demonstrated experience shipping ML-powered features or products in a production environment
Working knowledge of ML concepts (e.g., embeddings, classification, recommendation systems, LLMs) – you don’t need to train models, but you need to understand how they work and when to use them
Hands-on experience integrating ML APIs and services (e.g., OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker, or similar)
Proficiency in Python and/or another backend language (Go, Java, TypeScript/Node, etc.)
Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deployments
Familiarity with data stores and pipelines relevant to ML workloads (e.g., vector databases, feature stores, streaming systems)
Excellent interpersonal, verbal, and written communication skills
Strong collaboration abilities and cross-functional relationship-building
Self-starter with strong analytical and problem-solving skills
Ability to stay organized and deliver results in a fast-paced, changing environment

Senior Machine Learning Engineer

Key skills