Artificial Intelligence Engineer

6 days ago


Bengaluru Hyderabad, India Pragma Edge Software Services Full time ₹ 5,00,000 - ₹ 8,00,000 per year

JD Description: AI/ML Developer (3-5 Years Experience) Agentic AI Assets

Role Overview :

We are seeking a highly skilled developer with 3-5 years of deep, hands-on experience in Artificial Intelligence and Machine Learning to design and build advanced assets for our Agentic AI solutions. The ideal candidate will demonstrate exceptional knowledge in AI/ML algorithms and frameworks, a serious track record in deploying models at scale, and strong expertise working with Large Language Models (LLMs).

Key Responsibilities

  • Design, implement, and optimize complex AI/ML assets and models for agentic AI solutions.
  • Lead research and prototyping efforts in ML and AI algorithm development, with a focus on advancing the core intelligence of agentic AI systems.
  • Develop, fine-tune, and experiment with Gen AI LLMs, working with state-of-the-art architectures and leveraging the latest research in natural language processing and generative AI.
  • Apply advanced techniques such as transfer learning, reinforcement learning, and retrieval-augmented generation (RAG).
  • Collaborate closely with product, engineering, and research teams to benchmark performance, drive technical innovation, and set the direction for AI/ML initiatives.
  • Understand requirements on domain specific use cases and implement AI/ML solutions

Required Skills & Qualifications

  • 3-5 years strong professional experience as an AI/ML engineer, data scientist, or research scientist.
  • Strong knowledge on Agent to Agent communication and development of Agentic AI frameworks
  • Experience with vector search/vector databases, knowledge graphs, and data pipelines for RAG-based systems.
  • Expert-level Python programming skills and fluency in libraries and toolkits such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.
  • In-depth knowledge of classical and advanced machine learning algorithms, deep learning, neural network architectures, and their real-world applications.
  • Demonstrable experience building and fine-tuning LLMs (such as GPT, Llama, Mistral, etc.) and integrating them into robust solutions.
  • Strong background in state-of-the-art ML methodologies: prompt engineering, embeddings, transformers, self-supervised and unsupervised learning, RLHF, etc.
  • Experience with production-level deployment of AI/ML models, cloud-based ML infrastructure (AWS/GCP/Azure/IBM Cloud), containerization (Docker), and scalable MLOps practices.
  • Developing Solutions Aligned with AI Governance and Ethical AI Standards

Good to Have

  • Familiarity with agentic AI frameworks or multi-agent systems.
  • Publications, patents, or open-source contributions in AI/ML.
  • Strong analytical and communication skills.
  • UIUX Knowledge and framework
  • RDBMS and NoSQL database knowledge
  • Knowledge on AIML model finetune
  • Knowledge on MCP


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