About Alphanext

Alphanext Technology Solutions is an AI first product company with its own products and services offerings to customers spanning in 5 continents and multiple industry domains.

With headquarters in London and operational presence across India, Alphanext enables global organizations to hire, build, and scale technology teams faster and more efficiently.

Primary Roles & Responsibilities

▸  At SDE-I you will build, and maintain end-to-end RAG pipelines — from ingestion and chunking to retrieval and LLM response synthesis 

▸ Design and develop MCP (Model Context Protocol) servers that power AI agents and multi-step workflows 

▸ Development on Next.js / React.js frontend modules for our AI product suite 

▸ Own PostgreSQL database design — schema modelling, indexing strategy, query optimisation, and migration management 

▸ Integrate third-party AI APIs (Gemini, OpenAI, Anthropic, etc.) and open-source models into production-grade applications  

▸ Work directly with Founders for product and leadership to scope features, estimate effort, and make architectural recommendations 

▸ Stay ahead of the AI engineering curve — evaluate new tools, frameworks, and models and bring recommendations to the team 

Mandatory Technical Skills

▸ Minimum 2 year of combined internship + corporate experience in software engineering 

▸ Deep hands-on experience with RAG: multi-stage retrieval, re-ranking, hybrid search, prompt engineering 

▸ Experience building or extending MCP servers — understanding of tool calling, context passing, and agent orchestration 

▸ Strong proficiency in Next.js and React.js — you've built production UIs with proper state management, routing, and performance considerations 

▸ PostgreSQL expertise: advanced queries, indexing, schema design for complex domains, migrations in production 

▸ TypeScript proficiency — you write it by default, not as an afterthought 

▸ Experience with at least one vector database (pgvector, Pinecone, Weaviate, Qdrant) 

Good to Have: 

▸ Experience with streaming LLM responses, tool/function calling, and multi-agent frameworks 

▸ Familiarity with LangChain, LlamaIndex, or custom agentic implementations 

▸ Exposure to cloud infrastructure (AWS / GCP / Azure) and containerisation (Docker) 

▸ Knowledge of frontend design systems, Tailwind CSS.

▸ Prior experience working directly with product or business stakeholders