Data Scientist/AI ML Engineer

3 days ago

Indore, Madhya Pradesh, India iMentus Technologies Private Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Position Overview:

We are seeking a Senior AI Engineer with deep LLM expertise to design and implement advanced

multi-agent AI systems, RAG pipelines, and AI infrastructure as part of an early engineering team.

Key Responsibilities:

  • Build multi-agent AI systems orchestrating complex workflows and intelligent automation
  • Develop advanced RAG pipelines with hybrid search capabilities using vector and keyword-based

retrieval

  • Design prompt engineering frameworks ensuring consistent, high-quality outputs across multiple LLMs

such as Claude, GPT, and Qwen

  • Create context management systems optimizing token usage and maintaining conversation coherence
  • Fine-tune models specialized for domain-specific knowledge and terminology
  • Implement vector search infrastructure leveraging OpenSearch for semantic similarity and knowledge

retrieval

  • Develop LLM evaluation frameworks with automated quality metrics and regression testing
  • Work on orchestration with LangChain for autonomous decision-making and task delegation
  • Implement advanced prompt engineering including chain-of-thought and tree-of-thought reasoning
  • Optimize context windows for long-form content generation and multi-turn conversations
  • Build hybrid retrieval systems combining dense and sparse search with intelligent ranking
  • Fine-tune models using PEFT techniques for domain adaptation
  • Implement cost optimization through model routing, caching, and token management
  • Collaborate with AI and backend teams to integrate AI systems into production environments
  • Establish engineering standards for AI platform development

Required Skills:

  • 3-5+ years building production AI systems
  • 2+ years focused on LLM applications
  • Production experience with Amazon Bedrock or similar managed LLM services
  • Expert-level prompt engineering
  • Context window and memory management for long conversations
  • RAG development and vector search expertise using OpenSearch or similar databases
  • Fine-tuning models such as Llama or Mistral using LoRA and QLoRA
  • LangChain expertise for custom chains, agents, and tools development
  • Proficiency in Python and TypeScript
  • Experience with AWS ecosystem and managed services
  • API design for LLM services with SSE streaming support
  • Testing strategies for non-deterministic AI systems
  • Security awareness including prompt injection prevention and data privacy

Preferred (Bonus) Skills:

  • Experience with CrewAI or similar multi-agent frameworks
  • Knowledge of supervisor, collaborative, and competitive agent patterns
  • Familiarity with LangGraph for workflow orchestration
  • Experience with Axolotl or similar fine-tuning frameworks
  • Knowledge graph integration
  • Experience with Pulumi for infrastructure as code
  • Experience with microservices architecture and K8s
  • Familiarity with NestJS and FastAPI frameworks
  • Experience with PostgreSQL, Prisma ORM, and Redis caching
  • Min 1 year experience in Agentic AI solutions like: Cursor AI or LangChain or AutoGen

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