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Senior Full-Stack Developer (with LLM & Agentic AI Exposure)
Senior Full-Stack Developer (with LLM & Agentic AI Exposure)SandLogic • Bengaluru, Karnataka, India
Senior Full-Stack Developer (with LLM & Agentic AI Exposure)

Senior Full-Stack Developer (with LLM & Agentic AI Exposure)

SandLogic • Bengaluru, Karnataka, India
5 days ago
Job description

Location : Bengaluru (Hybrid)

Experience : 4-6 years

Role Type : Full-Time

About the Role

We are looking for a Senior Full-Stack Developer who is passionate about building scalable products and excited to work at the intersection of Generative AI, Large Language Models (LLMs), and Agentic AI systems .

In this role, you will collaborate closely with LLM developers, Agentic AI engineers, and platform architects to build cutting-edge applications, internal tools, and enterprise products powered by SandLogic’s Shakti LLMs, LingoForge, and advanced AI frameworks.

This is a hands-on role for someone who wants to learn how LLMs work under the hood , contribute to AI-powered product design, and build robust end-to-end systems that integrate modern AI capabilities.

Key Responsibilities Full-Stack Engineering

  • Design, develop, and maintain scalable frontend and backend components for AI-powered applications.
  • Build responsive, performant UI dashboards and web interfaces for model interaction, analytics, and monitoring.
  • Develop backend services, APIs, microservices, and databases that interact with LLMs and agentic systems.
  • Optimize application performance, reliability, and security across the full stack.

LLM & Agentic AI Collaboration

  • Work hand-in-hand with LLM developers to integrate Shakti LLMs, Lexicons, and multimodal models into applications.
  • Collaborate with Agentic AI (Agenti) engineers to build workflows involving autonomous agents, retrieval systems, and state machines.
  • Implement RAG pipelines, prompt-orchestrators, and middleware connecting applications with LLM endpoints.
  • Participate in fine-tuning, evaluation, and testing of LLM-powered features.
  • Product & Platform Development

  • Contribute to design discussions for AI features, model interfaces, analytics layers, and customer-facing capabilities.
  • Build reusable components, code libraries, and DevOps-ready modules for rapid development.
  • Drive clean code practices, documentation, code reviews, and engineering standards.
  • Continuous Learning & Innovation

  • Actively explore LLM fundamentals, inference optimization, embeddings, vector databases, and agentic frameworks (AutoGen, LangChain, Agenti).
  • Stay updated with the latest advancements in Generative AI, web technologies, and engineering best practices.
  • Identify opportunities to enhance system intelligence, automate workflows, and integrate new AI capabilities.
  • Required Skills & Experience Core Full-Stack Skills

  • Strong expertise in JavaScript / TypeScript , Node.js, and modern backend frameworks (Express, NestJS, FastAPI).
  • Proficiency in React, Next.js , or similar frameworks for frontend development.
  • Experience building scalable REST APIs and WebSocket-based services.
  • Hands-on experience with at least one cloud platform (AWS, GCP, Azure).
  • Strong understanding of relational and NoSQL databases (PostgreSQL, MongoDB, Redis).
  • AI & LLM-Related Skills (Preferred / Willingness to Learn)

  • Familiarity with LLM APIs, inference endpoints, embeddings, RAG pipelines , or vector databases (FAISS, Pinecone, Milvus).
  • Exposure to LangChain, AutoGen, Agenti , or agentic workflow orchestration.
  • Understanding of model interactions—prompting, fine-tuning basics, latency optimization (preferred, not mandatory).
  • Ability to work with AI engineers to design and integrate AI-based features.
  • General Requirements

  • 4+ years of full-stack engineering experience.
  • Strong problem-solving skills and ability to design elegant solutions.
  • Experience working in fast-paced, product-driven environments or startups.
  • Curiosity and willingness to explore how LLMs work at the architectural and implementation levels.
  • Excellent communication, documentation, and cross-team collaboration skills.
  • Good to Have

  • Experience with microservices architecture, Docker, Kubernetes.
  • Knowledge of authentication / authorization (OAuth, RBAC).
  • Exposure to realtime systems, WebRTC, or streaming services.
  • Experience building developer tools, internal platforms, or AI-powered workflows.
  • Contribution to open-source projects is a strong plus.
  • Why Join Us

  • Work with one of India's fastest-growing AI companies building enterprise LLMs, multimodal models, agentic workflows, and AI chips .
  • Collaborate with top LLM developers and architect next-generation AI systems.
  • Build impactful solutions used across BFSI, healthcare, retail, Telco, manufacturing, and global enterprises.
  • Be part of a culture rooted in innovation, ownership, and continuous learning.
  • Opportunity to grow into AI-specialized full-stack lead , AI systems engineer , or solution architect roles.
  • Please send your resume to with subject "Senior Full-Stack Developer"

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