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Full-Stack Developer Trainee (Node.js & Next.js) ? LLM & Agentic AI Track/C++

Bengaluru, Karnataka, India

2 days ago

Applicants: 0

Salary Not Disclosed

3 weeks left to apply

Job Description

Location: Bengaluru (Hybrid) Experience: 0?1 years (Freshers Welcome) Role Type: Full-Time ? Trainee Program (6 Months) No of Positions: 6 About the Role SandLogic is looking for highly motivated Full-Stack Developer Trainees who want to build modern web applications and grow into engineers capable of working with LLMs (Large Language Models) and Agentic AI systems . In this program, you will be trained in Node.js, Next.js, TypeScript , and modern full-stack practices. You will also gain exposure to Shakti LLM, LingoForge, RAG workflows, embeddings, vector databases, and agentic AI frameworks . You will shadow senior full-stack developers, LLM engineers, and Agenti developers, contributing to real-world projects and AI-driven platforms. What You Will Learn Full-Stack Engineering (Core Focus) Building modern frontend applications using Next.js, React, and TypeScript . Writing backend services and APIs using Node.js , Express, NestJS (if applicable), and microservice patterns. Building dashboards, admin tools, and AI-interactive interfaces. Integrating REST APIs, webhooks, and event-driven architectures. AI Integration (Beginner Level Exposure) Basics of LLMs, embeddings, tokenization, and inference workflows. Hands-on exposure to integrating Shakti LLM and Lexicon models into applications. Understanding how RAG (Retrieval-Augmented Generation) pipelines work. Working with Vector DBs like FAISS, Milvus, Pinecone (beginner level). Introduction to Agentic AI frameworks like AutoGen, LangChain, and Agenti. Software Engineering Practices Git, GitHub workflows, code reviews, and documentation. Writing clean, modular code and reusable components. Debugging, testing, and optimizing frontend & backend code. Working in agile teams and sprint-based execution. Key Responsibilities Assist in developing frontend components using Next.js and React . Support backend development using Node.js , TypeScript, and database integrations. Work alongside senior developers to build and maintain scalable API services. Help integrate LLM features into web applications. Participate in internal demos, daily standups, and training sessions. Experiment with new tools, libraries, and AI technologies to learn continuously. Required Skills (Foundational Level) Basic understanding of JavaScript or TypeScript . Knowledge of Node.js OR Next.js (even at beginner or project level). Understanding of web fundamentals: HTML, CSS, REST APIs. Familiarity with SQL or NoSQL databases. Good problem-solving skills and strong willingness to learn. Good to Have (but NOT mandatory) Academic or personal projects built using Node.js, React, or Next.js. Basic exposure to cloud platforms (AWS/GCP/Azure). Awareness of LLMs, chatbots, or AI concepts through coursework or self-learning. Interest in building AI-powered applications and exploring RAG/agentic systems. Who Should Apply Ideal for: Fresh Graduates (B.Tech/B.E./BCA/MCA/B.Sc/M.Sc) looking for a strong technology foundation. Developers who want to quickly grow into full-stack engineers working with GenAI systems . Learners who are curious, passionate, and willing to put in effort to master Node.js, Next.js, and AI integration. Why Join SandLogic Work with India?s leading Full-Stack AI company across Generative AI, Edge AI, Speech AI, and AI chip development . Learn directly from senior full-stack and LLM engineers. Hands-on experience with real AI products powered by Shakti LLM, Lexicons, Lingo, and LingoForge. Fast growth: High-performing trainees can transition into Full-Stack Developer , LLM Integration Engineer , or Agentic AI Developer roles. Culture of innovation, learning, and ownership. Please send your resumes to [email protected] with subject line as "Full-Stack Trainee"

Additional Information

Company Name
SandLogic
Industry
N/A
Department
N/A
Role Category
.NET Developer
Job Role
Internship
Education
No Restriction
Job Types
On-site
Gender
No Restriction
Notice Period
Less Than 30 Days
Year of Experience
1 - Any Yrs
Job Posted On
2 days ago
Application Ends
3 weeks left to apply

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