Full-Stack AI Engineer

About Doremon Labs Founded in 2021, DM LABS (Doremon Labs) is a fast-growing, India-based technology service provider engineering tomorrow’s solution. We transform ambitious visions into scalable, intelligent systems powered by AI, DevOps, and cloud-native architecture. Trusted by over 20+ global customers, our lean team combines the agility and dedication of a startup with the technical depth of enterprise engineers.

We build with enterprise-grade security, robust performance optimization, and best practices baked in from day one. Role Overview In this role, you will bridge the gap between advanced artificial intelligence and scalable backend engineering. You will be responsible for building custom AI-powered systems (including LLM integrations and RAG pipelines), creating robust Python microservices, and deploying them onto optimized cloud environments.

Key Responsibilities AI Integration & Development: Design and implement Generative AI capabilities, custom Large Language Model (LLM) integrations, and Retrieval-Augmented Generation (RAG) systems to solve complex business problems.Backe nd & Application Engineering: Buil d highly scalable backend systems, clean RESTful APIs, and responsive microservices using Python and modern frameworks.Cloud Architecture & Infrastructure: Desi gn and optimize secure cloud-native infrastructures across major platforms (primarily AWS, Azure, or GCP) following cost-optimization and high-availability design principles.Data & Database Management: Deve lop data pipelines and manage database architectures utilizing both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) solutions.DevSe cOps Collaboration: Work alongside our DevOps specialists to build automated CI/CD pipelines, containerize applications using Docker/Kubernetes, and implement robust monitoring solutions.Optim ization & Code Quality: Writ e clean, maintainable, and high-performance code, participate in rigorous code reviews, and conduct query and performance tuning to ensure low-latency system health. Technical Requirements & Mastery You will be expected to demonstrate proficiency in: Programming Languages: Expert-level knowledge of Python along with strong scripting capabilities (Bash/PowerShell). (Knowledge of Golang or TypeScript is a plus). AI/ML Frameworks & Platforms: Experience with PyTorch, TensorFlow, or Hugging Face, alongside cloud AI platforms like AWS SageMaker or Azure ML.

Generative AI: Practical experience building production-grade LLM applications, prompt engineering setups, and vector database structures for RAG systems. Cloud Platforms: Deep understanding of cloud automation, identity management (IAM), storage, serverless computing, and networking on AWS , Azure, or Google Cloud. Databases: Strong hands-on experience with PostgreSQL, MySQL, Redis, and NoSQL systems like MongoDB.

Containers & CI/CD: Native experience with Docker containerization, Kubernetes orchestration, and continuous integration workflows (GitHub Actions, GitLab CI, or Jenkins). Observability: Familiarity with centralized logging and distributed tracing tools (Prometheus, Grafana, ELK Stack, or Datadog). Soft Skills & Culture Fit Agile Mindset: Thrives in a fast-paced, startup-friendly environment with rapid deployment cycles and iterative dev elopment.Analy tical Thinker: Stro ng problem-solving abilities, capable of breaking down complex client specifications into optimized technical blueprints.Clear Communicator: True to our 3Cs philosophy, you possess exceptional transparent verbal and written communication skills to collaborate effectively with both engineering teams and external clients.

What We Offer Wonderful Learning and Growth Opportunity. (Even if you don’t know above all, but have right attitude then we welcome you, and train you.) Opportunity to work on cutting-edge AI and cloud migration projects for international clients. A flat, high-growth startup environment where your engineering decisions directly impact company growth. Competitive CTC package paid out in INR, performance bonuses, and continuous learning support.

Comprehensive health benefits and flexible hybrid work conditions.