Senior Full-Stack Developer

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
  , , and modern backend frameworks (Express, NestJS, FastAPI).
• Proficiency in
  React,
  , 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"