AI Software Engineer

Rapyd

You ll turn AI ideas into production-grade APIs and microservices, then iterate based on real data and feedback.You ll work at the edge of what s possible with LLMs, RAG pipelines, and vector-based retrieval. The mission: wire up smart systems that automate workflows, elevate productivity, and make AI feel less like magic and more like reliable infrastructure.Get the tools to grow globally at www.rapyd.net. Follow: Blog, Insta, LinkedIn, TwitterIn this role you ll:Design, build, and scale backend services and RESTful APIs that power AI features.Train, deploy, and maintain ML models especially in NLP and deep learning contexts.Stand up and iterate on LLM-driven apps, including RAG pipelines and vector-store retrieval.Own end-to-end delivery: prototyping, evaluation, deployment, monitoring, and iteration.Define clear KPIs, run experiments, and optimize based on what the data says.Collaborate with product, data, and engineering to turn ideas into shippable systems.Stay current on the LLM ecosystem and quickly put new tools and methods to work.RequirementsWhat you ll need:4+ years of professional software development experience with a strong backend focusProven track record building and deploying AI/ML models (NLP/deep learning)Hands-on expertise with RESTful APIs and microservices architecturePractical experience with : LLMs, RAG pipelines, or vector-store based retrievalExcellent communication, a bias for action, and comfort working in fast-moving teamsBonus points forSolid grounding in data-science fundamentals (statistics, preprocessing, feature engineering)Experience integrating generative models with external knowledge via RAGProficiency with embeddings and vector databases (e.g., FAISS, Pinecone)Working knowledge of LLM workflows: prompt engineering, inference, fine-tuning, and evaluationFamiliarity with Agile practices and a habit of staying on top of the latest AI research and tools