Job Description Role: AI Engineer Employment Type: Full-Time, Permanent Location: On-site, Bengaluru Vacancies: Multiple Positions Company Overview EmployAbility.AI is an AI-driven career enablement platform dedicated to transforming how individuals and organizations navigate the future of work. We are committed to democratizing access to meaningful employment by using advanced artificial intelligence, real-time labor market data, and intelligent career pathways to bridge the gap between skills and opportunities. Our platform empowers job seekers with personalized career insights, learning recommendations, and job-matching tools while enabling organizations to make smarter hiring and workforce development decisions. By aligning talent capabilities with market demand, we help create a more inclusive, adaptive, and future-ready workforce. At EmployAbility.AI, we’re not just building software—we’re building solutions that make employability equitable, data-driven, and scalable. Job Role: AI Engineer As an AI Engineer at EmployAbility.AI, you will be at the forefront of building intelligent systems that power the platform’s core functionality—from LLM-based recommendations to intelligent search and contextual assistants. You will develop and deploy state-of-the-art AI models and pipelines using LLMs , LangChain , and Retrieval-Augmented Generation (RAG) to deliver impactful, real-world solutions. You will work closely with a cross-functional team of developers, data scientists, and product managers to create scalable, production-ready AI features that enhance user experiences and drive measurable value across industries and regions. Key Responsibilities Design and develop AI-driven features including conversational agents, recommendation engines, and smart search using LLMs. Build and integrate LangChain-based applications that leverage RAG pipelines for improved reasoning and contextual understanding. Fine-tune, evaluate, and optimize transformer models (BERT, GPT, LLaMA, etc.) for domain-specific use cases. Work with unstructured and semi-structured data (e.g., resumes, job descriptions, labor market datasets). Develop embedding-based search using tools like FAISS , Pinecone , or Weaviate . Collaborate with backend and frontend teams to integrate AI services via scalable APIs. Perform data preprocessing, feature engineering, and model evaluation. Monitor performance of deployed models and iterate based on feedback and metrics. Participate in prompt engineering, experiment tracking, and continuous optimization of AI systems. Stay updated on the latest trends in AI/ML and contribute to internal knowledge sharing. Education Requirements B.Tech/B.E, M.Tech, MCA, M.Sc, MS, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Core Technical Skills – AI Engineering Large Language Models & NLP Experience with LLMs and transformer-based architectures (e.g., GPT, BERT, LLaMA). Hands-on with LangChain framework and RAG (Retrieval-Augmented Generation) workflows. Proficiency in prompt engineering , embedding models, and semantic search. Experience using Hugging Face Transformers , OpenAI API , or open-source equivalents. Vector Stores & Knowledge Retrieval Experience with FAISS , Pinecone , or Weaviate for similarity search. Implementation of document chunking, embedding pipelines, and vector indexing. ML/AI Development Strong skills in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn). Familiar with NLP tasks like named entity recognition, text classification, and summarization. Experience with API development and deploying AI models into production environments. Tooling & Development Practices Version control with Git , collaborative workflows via GitHub Experiment tracking with MLflow , Weights & Biases , or equivalent API testing tools (Postman, Swagger), and JSON schema validation Use of Jupyter notebooks for experimentation and prototyping Deployment & DevOps (Basic Understanding) Containerization using Docker , basic orchestration knowledge is a plus Cloud environments: familiarity with AWS , GCP , or Azure CI/CD workflows (GitHub Actions, Jenkins) Monitoring tools for model performance and error tracking (Sentry, Prometheus, etc.) Soft Skills & Work Habits Strong problem-solving and analytical thinking Ability to work cross-functionally with technical and non-technical teams Clear and concise communication of complex AI concepts Team collaboration and willingness to mentor peers or juniors Agile/Scrum practices using tools like Jira, Trello, and Confluence Bonus Skills (Good to Have) TypeScript or JavaScript for frontend or integration work Knowledge of GraphQL , chatbot development , or multi-modal AI Familiarity with AutoML , RLHF , or explainable AI Experience with knowledge graphs , ontologies , or custom taxonomies Show more Show less
As a Junior Full Stack Developer at EmployAbility.AI, you will be an integral part of our mission to enhance employability outcomes through the development of web-based solutions. Using the MERN stack (MongoDB, Express.js, React.js, Node.js), you will be responsible for creating high-performance applications that are not only user-centric but also secure and scalable. Collaboration will be a key aspect of your role as you work alongside product managers, designers, senior engineers, and data scientists to build intuitive user interfaces and robust backend systems. Your contributions will directly impact the experience of our diverse user base, including job seekers, educators, and employers across various industries and regions. Key Responsibilities: - Design, develop, and maintain full-stack web applications utilizing the MERN stack. - Implement responsive and user-friendly UI components using React.js and modern CSS frameworks such as Tailwind CSS. - Develop scalable, secure RESTful APIs with Express.js and integrate them with frontend applications. - Utilize MongoDB and Mongoose for efficient data modeling and querying. - Ensure cross-browser compatibility and mobile responsiveness. - Collaborate closely with product and design teams to translate requirements into technical solutions. - Write clean, maintainable, and well-documented code. - Participate in code reviews, troubleshooting, and debugging production issues. - Assist with deployment and integration of applications across staging and production environments. - Stay updated with emerging technologies and suggest best practices for ongoing development efforts. Education Requirements: - B.Tech/B.E, BCA, B.Sc, MS, MCA, MSc, M.Tech - Any graduate/postgraduate with IT/Computer Science-related education Core Technical Skills - MERN Stack: Frontend Development (React.js): - Proficiency in React.js, including Functional components, Hooks (useState, useEffect, etc.). - Strong knowledge of JSX and ES6+ JavaScript. - Familiarity with State Management, Context API, and Redux. - Experience with React Router, Formik, Yup, and responsive UI using CSS Flexbox/Grid. Backend Development (Node.js + Express.js): - Solid understanding of Node.js, Express.js, and middleware creation. - Building RESTful APIs and authentication using JWT. - Knowledge of schema design and CRUD operations using MongoDB and Mongoose. Tooling & Development Practices: - Experience with Git, GitHub, npm/yarn, Postman or Insomnia. - Knowledge of dotenv, .env files, Prettier, ESLint, and CI/CD concepts. - Frontend deployment using Vercel or Netlify, and backend deployment on platforms like Render, Railway, Heroku, or AWS EC2. Soft Skills & Work Habits: - Strong problem-solving and debugging skills, effective communication, and team collaboration. - Familiarity with Agile practices and tools like Jira and Trello. Bonus Skills: - TypeScript, Testing frameworks like Jest, Docker basics, and understanding of GraphQL. Join us at EmployAbility.AI and be a part of creating solutions that drive equitable, data-driven, and scalable employability.,