Senior AI Agent Developer

2 days ago

Noida, Uttar Pradesh, India In2it Systems And Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Descriptions: AI Agent Developer Roles

Senior AI Agent Developer

We are seeking a Senior AI Agent Developer with a strong technical background in AI, software engineering, and data analytics to build intelligent, autonomous multi-agent systems for real-world use cases.

Key Responsibilities

  • Research, design, and build custom LLM models tailored for specific business or domain-specific use cases.
  • Perform data preprocessing, training, fine-tuning, and evaluation of LLMs using large-scale or proprietary datasets.
  • Collaborate with data scientists and ML engineers to identify optimal architecture and training strategies.
  • Optimize model performance and scalability for production deployment.
  • Stay updated on state-of-the-art techniques in LLMs and generative AI. Design, develop, and deploy
  • Build and maintain MLOps pipelines for continuous training, deployment, and monitoring.
  • Ensure agents meet high standards of performance, security, and compliance.
  • Collaborate with cross-functional teams in engineering, design, and product.
  • Apply advanced prompt engineering techniques to optimize agent behavior and output.

Requirements

  • 5+ years in software engineering, data science, or machine learning.
  • Proficiency in Python and familiarity with LLMs, Prompt engineering.
  • Experience working with MCP client-server architecture for secure communication and integration.
  • Knowledge of multi-agent frameworks (e.g., AutoGen, LangChain).
  • Strong debugging skills and understanding of data security principles.
  • Experience with MLOps, containerization, infrastructure-as-code, and monitoring.

Preferred Skills

  • Experience with vector databases (eg.Pinecone, Weaviate), speech/text processing, and automation workflows.
  • Familiarity with tools such as TensorFlow, PyTorch, and Hugging Face.
  • Knowledge of NLP, RAG, and Knowledge Graphs.
  • Background in customer service automation or predictive analytics.
  • Bachelors degree in statistics, CS, or related field. Certifications in AI are a plus.

Objectives

  • Innovate using statistical models and ML techniques to solve real-world problems
  • Drive impact through AI-powered automation, optimization, and insight delivery.
  • Enhance business processes by integrating actionable data strategies and analytics.

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