Description

You will design, build, and deploy AI-powered applications using large language models and enterprise-grade Python solutions.

This role is on-site.

Responsibilities

• Design and develop GenAI applications leveraging LLMs such as OpenAI, Hugging Face, Anthropic, and Llama.
• Build and maintain Python-based APIs, microservices, and pipelines for GenAI integration.
• Fine-tune pre-trained models for domain-specific use cases and implement prompt engineering strategies.
• Implement RAG-based solutions using vector databases like Pinecone, Weaviate, FAISS, or Milvus.
• Deploy and monitor GenAI models in cloud environments including AWS, Azure, or GCP.

Required Skills

• 5+ years of Python development experience with expertise in object-oriented design, data structures, and algorithms.
• Proven experience in machine learning and deep learning using PyTorch or TensorFlow.
• Strong knowledge of LLMs and GenAI frameworks including LangChain, Hugging Face Transformers, and LlamaIndex.
• Hands-on experience in API development with FastAPI, Flask, or Django.
• Proficiency with SQL/NoSQL and vector databases.
• Experience with cloud AI services such as AWS SageMaker, Azure OpenAI, or GCP Vertex AI.
• Competency with Python, Transformers, PyTorch, TensorFlow, AWS, Azure, GCP, CI/CD, Docker, and Kubernetes.

Preferred Skills

• Knowledge of data pipelines, ETL, and orchestration tools like Airflow, Prefect, or Luigi.

Key Skills

Education

Any Gradute