Why This Role Stands Out
This Gen AI Engineer role offers a fantastic opportunity to build cutting-edge AI applications with a hybrid work model for flexibility. You'll thrive here if you have a strong background in Python, LLMs, RAG, and cloud platforms, eager to contribute to innovative projects. Apply today to shape the future of AI!
Quick Overview
Job Description
Job Title: Gen AI Engineer
Job Description:
We are looking for a Gen AI Engineer to design, develop, and deploy AI-powered applications using modern Generative AI technologies. The ideal candidate will have strong experience with Python, LLMs, RAG, LangChain/LangGraph, vector databases, and cloud platforms.
Key Responsibilities:
Develop and integrate Generative AI/LLM-based applications.
Build RAG pipelines, prompt engineering workflows, and AI agents.
Work with LangChain, LangGraph, MCP, or similar AI frameworks.
Integrate LLMs using OpenAI, AWS Bedrock, Azure OpenAI, or Hugging Face.
Develop AI/ML solutions using Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Work with vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
Deploy and maintain AI applications on AWS/Azure/Google Cloud Platform using containers and Kubernetes.
Optimize LLM performance, reliability, latency, and cost.
Collaborate with data scientists, software engineers, and product teams.
Required Skills:
3+ years of experience in AI/ML or Software Engineering.
Strong Python programming skills.
Hands-on experience with Generative AI, LLMs, RAG, and AI Agents.
Experience with LangChain/LangGraph and/or MCP.
Knowledge of OpenAI, AWS Bedrock, Azure OpenAI, or Hugging Face.
Experience with vector databases and embeddings.
Strong understanding of APIs, microservices, and cloud platforms.
Experience with Docker/Kubernetes and CI/CD is preferred.
Preferred Skills:
NLP and Transformer architectures.
Fine-tuning and model evaluation.
AWS SageMaker / Azure ML.
MLOps and AI observability.
Knowledge of responsible AI and data security.
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