AI Engineer

5+ years of software engineering experience. 1+ year building AI/ML-powered features in production. Strong coding ability in backend languages (Python preferred). Experience with system design for cloud-based services. Hands-on experience integrating LLM APIs or open-source NLP models into live applications. Solid understanding of distributed systems, API design, and asynchronous programming. Familiarity with cloud platforms (AWS or GCP). Familiarity with containers (Docker). Familiarity with orchestration (Kubernetes). Practical experience with retrieval-augmented generation. Practical experience with embeddings. Practical experience with vector databases. Ability to define and monitor evaluation metrics for AI outputs.

Design and build new product features leveraging generative AI. Own the ML feature lifecycle end-to-end. Ensure AI outputs are accurate, safe, and useful. Implement RAG pipelines. Integrate and optimize vector databases. Blend model outputs with deterministic logic. Lead best practices in prompt engineering. Experiment with agent-style workflows. Establish reusable libraries and tooling for AI integrations. Design infrastructure to support AI features at scale. Collaborate with infra/DevOps on microservices, job queues, caching, and monitoring. Set up metrics, alerts, and observability for AI-powered services. Define success criteria for AI-driven features. Build evaluation pipelines. Use data to refine prompts, retrieval strategies, or model selection. Partner with Product Managers, Designers, and domain experts. Contribute to UX discussions on AI presentation. Mentor engineers on AI/ML best practices. Provide guidance in code reviews. Lead internal knowledge sharing.