Job Title

Join our dynamic AI team as AI/ML Engineer focused on backend and AI system development. You will design, develop, and scale robust backend services and AI/ML pipelines using Python (3.11+), FastAPI. Your work will involve building advanced generative AI solutions—such as retrieval-augmented generation (RAG) and agent-based workflows—leveraging large language models to solve real-world problems. Our projects span multiple verticals, including healthcare and management consulting, providing a unique opportunity to work on impactful, real-world challenges.What you will be doing: Develop and maintain scalable backend APIs and services in Python (3.11+) using FastAPI Design and implement LLM-driven solutions, including prompt engineering and intelligent AI agent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines using vector databases (Weaviate, Neo4j, Firestore) Leverage LangChain and LangGraph frameworks for orchestrating LLM interactions and knowledge graph tasks Integrate and manage data storage with Firebase Firestore or similar NoSQL databases on Google Cloud Platform (GCP) Process, clean, and analyze text data using NLP techniques to feed into AI pipelines Collaborate with cross-functional teams to translate requirements into robust AI features and ensure production readiness Create dashboards and developer tools (using JavaScript/TypeScript) for monitoring and analytics of AI systems Ensure code quality and follow best practices (testing, CI/CD) for reliable production deploymentsYou are a good match if you have: 3+ years of software engineering experience with a strong focus on Python (3.11+) and backend development Proficiency with FastAPI or similar Python web frameworks for building RESTful APIs Hands-on experience with large language models (LLMs) and Generative AI, including prompt engineering techniques Solid experience with LangChain and LangGraph (or equivalent orchestration frameworks) Proven track record in building RAG systems and deploying AI agents in production environments Proficient in using vector databases like Weaviate for semantic search and retrieval Strong NLP and text data processing skills (tokenization, embeddings, text analytics) Experience with Google Cloud Platform (GCP) services and Firebase Firestore (or other NoSQL databases) Basic proficiency in JavaScript/TypeScript for developing internal dashboards or front-end components Excellent communication, teamwork and problem-solving skills is mustYou get extra points for: Experience with other cloud platforms (AWS, Azure) and cloud-native architectures Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines Experience with frontend frameworks (React, Vue) or visualization libraries for dashboardsWhy join us? You’ll be a key early hire in a fast-moving, supportive, and experienced team. Reporting to the Head of Product Engineering, you’ll have the autonomy to shape support, release, and onboarding processes as we scale. You’ll work across the business and play a vital role in our customers’ success.