🔔 FCM Loaded

Senior AIML Engineer

iTCart

5 - 10 years

Bengaluru

Posted: 10/01/2026

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Job Description

Were Hiring | AI/ML Engineer Generative AI & Multi-Agent Systems

Location: Bengaluru (Onsite)

Employment Type: Full-Time


AiXQP (Powered by iTCart) is an industry-focused upskilling and placement support platform, building a job-ready workforce across Manufacturing, Electronics, Mechatronics, IoT, EV, Solar, Logistics, Healthcare, BFSI, and Digital sectors .


AI/ML Engineer Generative AI & Multi-Agent Systems

Role Overview

We are looking for an experienced AI/ML Engineer skilled in designing, building, and deploying LLM-powered multi-agent and RAG (Retrieval-Augmented Generation) systems. The ideal candidate has strong expertise in LangChain, LangGraph, and LangSmith, with proven experience in LLM fine-tuning, speech-to-text (STT) and text-to-speech (TTS) integration, and scalable deployments using modern cloud platforms.

Mandatory Skills

  • Deep hands-on experience with LangChain , LangGraph , and LangSmith .
  • Strong understanding of LLM prompt engineering , tool usage , and multi-agent orchestration .
  • Proven experience in RAG pipeline design document loaders, retrievers, embeddings, and vector stores (Postgres, Chroma, Pinecone, etc.).
  • LLM fine-tuning using OpenAI, Azure OpenAI, or HuggingFace.
  • Integration of STT/TTS services (Azure Speech, Whisper, ElevenLabs, etc.).
  • Experience deploying AI services on Azure , using Docker , FastAPI , or similar frameworks.
  • Familiarity with LangSmith for evaluation, monitoring, and tracing agent performance.


Optional / Nice-to-Have

  • Experience building or deploying ML/DL models using Scikit-Learn , TensorFlow , or PyTorch .
  • Knowledge of neural network architectures , transfer learning , and MLOps pipeline


Technical Stack

  • Core: LangChain, LangGraph, LangSmith
  • LLM Providers: Azure OpenAI, OpenAI, HuggingFace
  • Supporting: STT/TTS APIs, Vector Databases, FastAPI, Docker
  • Optional: Scikit-Learn, TensorFlow, PyTorch


Experience

  • 6+ years of total experience in AI/ML development.
  • Minimum 4+ years working directly with LLM systems , RAG architectures , or agentic AI applications .


Soft Skills

  • Strong problem-solving and analytical mindset.
  • Clear communication and documentation ability.
  • Rapid prototyping.




What We Offer

  • Competitive remuneration
  • Opportunity to contribute to Indias skilled manufacturing workforce
  • Exposure to emerging technologies and industry-aligned programs
  • Professional growth in a fast-evolving skill development ecosystem


Apply Now

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Subject : Application for Trainer Manufacturing Programs

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