AI Engineer (Gen AI, Gcp/ snowflake/aws)

Responsibilities

Design, develop, and deploy Generative AI applications using LLMs and foundation models.

Develop AI solutions utilizing RAG (Retrieval-Augmented Generation) architectures.

Build and optimize AI pipelines using Python, LangChain, LlamaIndex, and vector databases.

Integrate AI solutions with AWS, GCP, and Snowflake environments.

Fine-tune and evaluate LLMs for domain-specific business use cases.

Create scalable APIs and microservices for AI model deployment.

Collaborate with data engineers, ML engineers, and business stakeholders.

Implement prompt engineering techniques and model performance optimization.

Ensure data security, governance, and compliance in AI applications.

Monitor and improve AI model performance in production environments.

Technical and Professional Requirements

Strong programming experience in Python.

Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG.

Experience with frameworks such as:

LangChain

LlamaIndex

Hugging Face

OpenAI APIs

Vertex AI / Bedrock

Strong cloud experience in AWS or GCP.

Hands-on experience with Snowflake including data integration and optimization.

Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.

Knowledge of REST APIs, microservices, and containerization (Docker/Kubernetes).

Familiarity with MLOps and CI/CD practices.

Preferred Skills

• PYTHON
• Amazon CodeStar
• GCP Data Analytics
• Snowflake

Educational Requirements

MCA,MSc,MTech,BTech