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Spericorn Technology (P) Ltd

Spericorn Technology Private Limited, Amstor Building, Technopark Phase I, Trivandrum , 695581

AI Engineer

Closing Date:31,May 2026
Job Published: 12,May 2026

Brief Description

Spericorn Technology is seeking a highly skilled AI Implementor & Transformation Lead to spearhead the integration of Artificial Intelligence across our products, services, and internal operations. Minimum 4 years of hands-on experience in AI/ML engineering — not just theoretical exposure. This is a dual-purpose role: hands-on technical development and driving company-wide AI adoption. The ideal candidate is a builder, strategist, and educator — someone who can design and ship production-grade AI systems while also coaching teams and converting workflows into AI-augmented equivalents.

Key Responsibilities
  • Design, build, and deploy end-to-end AI and ML solutions integrated into our products and client projects
  • Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases (Pinecone, Weaviate, pgvector) and LLM backends
  • Build and maintain Agentic AI systems — autonomous agents, multi-agent pipelines, tool-use frameworks, and task orchestration
  • Implement solutions using Claude (Anthropic), GPT-4, Gemini, and other frontier models via APIs and SDKs
  • Develop with Cursor AI and other AI-native IDEs; leverage GitHub Copilot, Codeium, and similar tools for accelerated development
  • Build MCP (Model Context Protocol) servers and integrations to extend AI capabilities across internal and client-facing tools
  • Architect robust AI infrastructure — prompt engineering, fine-tuning, evaluation frameworks, and monitoring pipelines
  • Implement AI-augmented workflows including automated reporting, intelligent document processing, code review bots, and AI-assisted client communication

Preferred Skills

       • Proven track record of taking AI projects from ideation to production
  • Hands-on experience with LLMs, prompt engineering, and fine-tuning (LoRA, RLHF, PEFT)
  • Proficiency in ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex
  • RAG architecture: chunking strategies, embedding models, re-ranking, hybrid search
  • Agentic AI: ReAct agents, CrewAI, AutoGen, LangGraph, tool-use, memory systems
  • Claude (Anthropic API) — including Claude 3 family, function calling, and system prompt design, OpenAI GPT-4 / GPT-4o, Azure OpenAI Service
  • Cursor IDE — AI-assisted development, inline code generation, and refactoring workflows
  • MCP (Model Context Protocol) — building and consuming MCP servers for tool-augmented LLMs
  • Flowise, Dify, n8n, or similar no-code/low-code AI orchestration platforms

Note: Kindly mention in the email subject "Application for the post of AI Engineer”