Sr Fullstack Engineer - Generative AI Solutions (Nagpur)

Sr Fullstack Engineer - Generative AI Solutions (Nagpur)

23 Sep
|
Qloron Technology
|
Nagpur

23 Sep

Qloron Technology

Nagpur

Job Summary

Job Title - Senior Fullstack Engineer - Generative AI Solutions

Location: Remote (Anywhere in India)

Experience: 7+ years

Candidate Skills

- Frontend Craftsmanship - Contemporary JavaScript/TypeScript expertise - you understand the language, not just the framework.
- Deep experience with React (or Vue/Svelte) and state management patterns that don't become spaghetti at scale.
- You've built complex, interactive UIs: real-time updates, streaming content, optimistic updates, and graceful error states.
- Understanding of web performance: bundle optimization, lazy loading, Core Web Vitals - and knowing when to actually care about them.
- Experience with AI-specific UI patterns: chat interfaces, streaming text responses, inline suggestions, human-in-the-loop workflows.
- Accessibility isn't an afterthought - you build interfaces that work for everyone.
- Backend Proficiency - Strong backend experience in Python, familiarity with C# is a plus - you can own the full request lifecycle.
- API design that developers want to use: REST, GraphQL, or WebSockets depending on what the problem actually needs.
- Database fluency: PostgreSQL, MongoDB, Redis - and understanding when each is the right tool.
- Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector) for semantic search and RAG implementations.
- Message queues and async processing patterns - because not everything should block the user.
- Generative AI Integration - You understand prompting as an engineering discipline: structure, token efficiency, context window constraints, and output consistency.
- Experience integrating LLM APIs: OpenAI, Anthropic, Azure OpenAI, or self-hosted models (Llama, Mistral, Qwen).
- You know models aren't interchangeable - structured output support, instruction-following quality, and quirks vary significantly.
- Familiarity with streaming responses and how to build UIs that feel responsive while tokens trickle in - understanding of RAG patterns: document chunking, embedding strategies, retrieval optimization, and reranking.
- Experience implementing AI guardrails on the frontend and backend: input validation, output filtering, content moderation UIs, AI security privacy awareness.
- You've thought about prompt injection - and built defenses against it.




- Understanding of PII handling in AI contexts: what should never reach an external model, masking strategies, and audit requirements.
- Experience building user-facing controls for AI features: consent, transparency, and correction mechanisms.
- Agent Conversational AI Understanding - Familiarity with building conversational interfaces that maintain context across turns.
- Understanding of tool/function calling patterns and how to surface agent actions in the UI.
- Experience with memory patterns: conversation history management, summarization triggers, and long-term context retrieval.
- You've seen (or built) multi-agent systems and understand the UX challenges of surfacing complex AI workflows to users.
- Engineering Standards - Testing is how you ship with confidence: unit, integration, E2E, and you've probably added visual regression testing too.
- CI/CD pipelines are part of your workflow - you contribute to them, not just use them.
- You can provision infrastructure when needed and understand deployment beyond "push and pray".
- Quality is your responsibility - "QA will catch it" isn't in your vocabulary.
- Capabilities - Design and build end-to-end features for AI-powered products - from database schema to polished UI.
- Create responsive, accessible interfaces for AI interactions: chat, suggestions, document processing, human-in-the-loop reviews.
- Implement streaming architectures that make AI responses feel instant, even when they're not.
- Build prompt management systems with versioning, testing, and performance tracking across the stack.
- Develop context window optimization strategies - intelligently selecting what context to include and what to summarize.
- Implement client-side and server-side AI guardrails: input sanitization, output validation, PII detection, and user-facing controls.




- Design abstraction layers that allow model switching without full rewrites - your code shouldn't be married to one provider.
- Build conversational memory systems: context windowing, semantic retrieval, and conversation summarization.
- Create UIs that surface agent behavior transparently - users should understand what the AI is doing and why.
- Optimize for real-world performance: caching strategies, request deduplication, and graceful degradation when AI services hiccup.
- Contribute to design systems and shared components that accelerate AI feature development across teams.

Responsibilities

- Own features end-to-end: from understanding the business need through implementation, testing, deployment, and iteration.
- Build and maintain frontend experiences for our generative AI products - with obsessive attention to responsiveness and usability.
- Develop backend services that integrate LLMs reliably: error handling, retries, fallbacks, cost tracking, and observability.
- Implement AI security patterns: prompt injection prevention, sensitive data masking, output filtering, and compliance logging.
- Create and maintain prompt libraries with proper versioning, A/B testing infrastructure, and regression detection.
- Design APIs that abstract AI complexity appropriately - giving consumers power without exposing implementation chaos.
- Collaborate with AI Engineers on model capabilities, limitations, and production deployment patterns.
- Build monitoring and analytics for AI features: usage patterns, quality metrics, cost attribution, and user feedback loops.
- Maintain comprehensive test coverage: unit, integration, End-to-End, and AI-specific evaluations (output quality, prompt regression).
- Participate in architecture decisions and shape our evolving AI development practices.
- Stay current with the rapidly moving AI + web development landscape - and share what you learn.
- Embrace the pace: features pivot, priorities shift, and yesterday's work might get shelved - you're energized by this, not defeated.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Fullstack Engineer - Generative AI Solutions (Nagpur)
🏢 Qloron Technology
📍 Nagpur

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