Job Title

About the RoleWe are looking for a Applied AI Engineer who is passionate about building real-world AI applications. This role is ideal for candidates who have completed an AI internship or have hands-on experience working with modern AI/LLM-based systems.You will work on designing, developing, and deploying AI-powered applications, including LLM pipelines, agent-based systems, and integrations with external platforms. Candidates with full-stack exposure will have an added advantage.Key ResponsibilitiesDesign and develop LLM-based applications (chatbots, copilots, automation tools)Build and manage AI backend services using APIs and microservicesImplement AI pipelines (data ingestion → processing → inference → output)Work with agentic workflows (multi-step reasoning systems using agents)Develop AI orchestration logic using frameworks like LangChain, LlamaIndex, or similarIntegrate AI systems with third-party tools/APIs (CRM, Slack, databases, etc.)Collaborate with frontend and backend teams to deliver end-to-end AI solutionsOptimize prompts, improve response quality, and enhance system performanceParticipate in debugging, testing, and iterative improvements of AI systemsRequired SkillsBasic understanding of Large Language Models (LLMs) and AI applicationsHands-on experience with:Python (preferred) or Node.jsFamiliarity with:REST APIs and JSONUnderstanding of:AI pipelines and workflow designPrompt engineering basicsAgent-based systems (agentic workflows)Preferred Skills (Strong Advantage)Knowledge of MERN Stack (MongoDB, Express.js, React, Node.js)Experience with Full Stack Python development (FastAPI / Django + frontend integration)Familiarity with frameworks like:LangChain / LlamaIndex / HaystackExposure to:Vector databases (Pinecone, FAISS, Weaviate)RAG (Retrieval-Augmented Generation)Understanding of:AI orchestration and tool-calling conceptsExperience integrating AI with:Slack, WhatsApp, Zapier, or similar platformsBasic cloud knowledge (AWS / GCP / Azure)Who Can ApplyCandidates with 0–6 months of experience ORThose who have completed an AI/ML Internship with hands-on projectsCandidates with full-stack project experience (MERN / Python) are strongly preferredSelf-learners who have built AI or full-stack side projectsWhat We’re Looking ForStrong problem-solving mindsetAbility to design and build end-to-end AI applicationsCuriosity to explore new AI tools and frameworksFast learners who can quickly prototype and iteratePassion for building production-ready AI systemsBonus PointsBuilt and deployed an AI app (chatbot, automation tool, etc.)Experience with multi-agent systemsGitHub projects showcasing AI + full-stack integrationExperience working on real-world SaaS productsWhy Join UsWork on cutting-edge LLM & agentic systemsOpportunity to build end-to-end AI productsHands-on exposure to real production systemsFast-paced startup environment with high ownership