AI/ML Engineer

About the RoleWe're looking for a Junior AI/ML Engineer to help build AI-powered features into our SaaS platform. You'll work alongside senior engineers on LLM- and ML-driven capabilities, self-hosted model serving, retrieval pipelines, and agentic workflows, from prototype to production. This is a hands-on role with real ownership, ideal for someone early in their career who wants to grow fast in a founder-led environment.What You'll DoBuild and integrate LLM-powered features into production applicationsWork with self-hosted model serving (vLLM or similar) and OpenAI-compatible inference endpointsBuild retrieval-augmented generation (RAG) pipelines, chunking, embeddings, vector search, rerankingDevelop and maintain data pipelines for ingestion, indexing, evaluation, and inferenceBuild agentic, multi-step workflows using modern LLM orchestration frameworksWrite clean Python for model serving, prompt orchestration, and backend integrationExperiment with models, prompts, and eval strategies, then measure what actually worksHelp monitor, debug, and improve deployed AI systemsMust-Have Qualifications1–2 years of experience, or strong projects/internships in AI/MLSolid Python fundamentalsUnderstanding of core ML and LLM concepts (embeddings, inference, context windows, evaluation)Familiarity with LLM frameworks (LangChain, LlamaIndex, LangGraph, or similar)Basic understanding of RAG and vector databasesExperience integrating models into applications via REST APIsComfortable with Git and collaborative workflowsGenuine curiosity and a fast, self-directed learning styleNice to HaveHands-on with self-hosted inference (vLLM, TGI, Ollama, or similar)Experience with vector databases (pgvector, Qdrant, Weaviate, Pinecone, etc.)Exposure to agentic / multi-step AI workflows and tool-callingFamiliarity with model fine-tuning, quantization, or GPU servingCloud experience Awareness of sovereign/on-prem AI deployment considerationsAny background in data engineering, MLOps, or cybersecurityA portfolio, GitHub, or Kaggle profile showing real workWho You AreYou learn fast and aren't afraid to ask questionsYou care about shipping working features, not just notebooksYou're comfortable with ambiguity in an early-stage environmentYou take ownership of what you buildWhat We OfferDirect mentorship from senior engineers and the foundersReal production ownership from early onA front-row seat building AI into a real productCompetitive compensation for the levelQualificationsBachelor's degree in Computer Science, AI, Data Science, or a related field, or equivalent demonstrated project work. What you've built matters more than where you studied.