AI Engineer

23 hours ago

Bengaluru, Karnataka, India Shashwath Solution Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Summary:

We are seeking a highly skilled and hands-on AI Engineer with 3+ years of proven experience in building and deploying solutions using Generative AI and Large Language Models (LLMs). You will work on cutting-edge applications leveraging transformer-based architectures, fine-tuning, prompt engineering, and scalable AI deployments.

This role is ideal for engineers passionate about AI research and real-world productization of generative AI technologies.

Key Responsibilities:

  • Design, develop, and deploy solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude, PaLM, etc.) for various NLP and content generation tasks.
  • Work on fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) pipelines.
  • Integrate LLMs into enterprise applications with APIs and orchestrate workflows using Python, LangChain, or similar frameworks.
  • Optimize model performance, latency, and cost for production use.
  • Collaborate with data scientists, MLOps engineers, and product managers to deliver scalable AI features.
  • Conduct experiments, analyze results, and publish internal findings or contribute to whitepapers.
  • Ensure ethical, secure, and responsible use of AI technologies in all implementations.

Required Skills & Experience:

  • 3+ years of hands-on experience working with Generative AI, LLMs, and NLP technologies.
  • Strong programming skills in Python and experience with libraries like Transformers (Hugging Face), LangChain, PyTorch, TensorFlow, etc.
  • Proven track record of fine-tuning LLMs, developing embeddings, and working with vector databases (e.g., FAISS, Pinecone, Weaviate).
  • Experience deploying models on cloud platforms (AWS, Azure, GCP) and using ML pipelines or MLOps tools.
  • Solid understanding of deep learning, NLP architectures, tokenization, and evaluation metrics for generative models.
  • Experience in API development and integration of LLMs into user-facing applications.

Preferred Qualifications:

  • Masters or PhD in Computer Science, AI/ML, Data Science, or related field.
  • Experience with OpenAI APIs, Anthropic, Cohere, or open-source LLMs (e.g., Mistral, Falcon, LLaMA 3).
  • Understanding of RLHF (Reinforcement Learning from Human Feedback) and model alignment techniques.
  • Contributions to open-source AI projects or publications in GenAI/LLM.

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