AI Engineer

1 week ago

Bengaluru Hyderabad, India Pragma Edge Software Services Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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

Nice 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

Mandatory skills

Python

Machine Learning (ML)

Deep Learning (DL)

Natural Language Processing (NLP)

Generative AI

Agentic AI

multi Agent frame works

Crew AI Approaches

Generative AI

• Prompt engineering

• LLM fine-tuning (e.g., using Hugging Face, LoRA) and other models/ approaches

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