AI Engineer

1 - 2 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities

  • Design and implement AI-driven solutions across domains such as LLMs, Generative AI, NLP, and Computer Vision.
  • Research, prototype, and evaluate state-of-the-art AI models and architectures for real-world applications.
  • Build retrieval-augmented generation (RAG) pipelines and integrate AI models into customer-facing products.
  • Work with engineers and product teams to embed AI capabilities into platforms and workflows.
  • Optimize AI models for accuracy, scalability, and efficiency in production.
  • Stay up to date with advancements in Generative AI, foundation models, and applied AI frameworks.

Requirements

  • Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 1-2 years of experience in building and deploying AI applications.
  • Strong proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and Scikit-learn.
  • Hands-on experience with LLMs, embeddings, prompt engineering, or fine-tuning foundation models.
  • Familiarity with cloud platforms (AWS, GCP, Azure)and containerization (Docker, Kubernetes a plus.
  • Understanding of vector databases (Pinecone, Qdrant, Weaviate, FAISS)is desirable.
  • Strong problem-solving skills with the ability to translate business needs into applied AI solutions
  • Excellent communication and cross-team collaboration skills.
  • Experience with Generative AI (LLMs, diffusion models, multimodal AI).
  • Familiarity with RAG, orchestration frameworks (LangChain, LlamaIndex, Haystack).
  • Exposure to MLOps/AI Ops practices and CI/CD pipelines for AI workflows.
  • Contributions to AI/ML open-source projects.
This job was posted by Jancy Alice Challam from GeoIQ.

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