WorkableAI is #hiring Backend Engineer to join our dynamic, fast-growing team. We specialize in delivering scalable, modular AI solutions for industries like real estate, education, and enterprise automation. If you’re passionate about building impactful AI systems and backend technologies, this is your opportunity to work on real-world challenges with a highly skilled team of IIT Kanpur alumni. Backend Engineer: Develop high-performance APIs and scalable backend systems. Integrate AI models into production environments. Skills: Django/Flask/FastAPI, REST APIs, databases (MongoDB) additionally if you have worked in GEN AI based backend development it will be plus, cloud platforms. Why Work with Us? Remote Flexibility: Work from anywhere. Impactful Projects: Contribute to AI-powered solutions transforming MSMEs. Growth Opportunities: Collaborate with industry experts and learn cutting-edge AI technologies. Work on real-world challenges with a highly skilled team of IIT Kanpur alumni. Location: Remote Expected Stipend: ₹25,000 – ₹30,000 per month 💼 Apply Now: Send your resume to jatin.choudhary@workableai.org #hiring #backendengineer #AI #techjobs #remotejobs #IITKanpur #GenerativeAI #cloudcomputing #APIs #MongoDB #workfromhome #MSMEs
We're Hiring: Machine Learning Engineer (Internship, Remote) We are looking for a committed and enthusiastic Machine Learning Engineer to join our fast-growing team. This is a full-time opportunity (40 hours/week) for someone who thrives in a dynamic environment and is passionate about solving real-world problems using advanced ML techniques. Key Responsibilities: Design and implement solutions using Large Language Models (LLMs) Develop and fine-tune prompt engineering strategies for performance optimization Work on Retrieval-Augmented Generation (RAG) pipelines and knowledge-grounded systems Apply a wide range of ML techniques including classification, clustering, embeddings, and optimization Collaborate closely with backend and AI engineering teams to integrate ML solutions into production systems Contribute to experimentation, model evaluation, and continuous improvement cycles What We're Looking For: Strong hands-on experience with LLMs (OpenAI, HuggingFace, etc.) Proficiency in prompt engineering, few-shot learning, and RAG frameworks Solid understanding of machine learning fundamentals and applied techniques Familiarity with tools like LangChain, Pinecone, Weaviate, or similar Ability to work independently and manage time effectively in a remote setting Eagerness to learn, adapt, and contribute proactively in a fast-paced environment What Matters to Us: We value commitment and curiosity over formal degrees We appreciate individuals who take ownership and bring a solutions-first mindset We are building a culture of speed, experimentation, and continuous learning Position Details: Type: Full-Time Intern (45-50 hours/week) Location: Remote (Gurugram residents preferred) PPO: After 3 months of completion a full time offer will be rolled out depending on the performance Compensation: Competitive, based on experience and capability Start Date: Immediate If you're excited to work on cutting-edge AI systems and grow with a team that's moving fast, we’d love to hear from you. Please send your resume, portfolio (if available), and a short note on why you're interested to naman@workableai.org or jatin.choudhary@workableai.org