Back
Strong employer brand, metro location, and generic senior engineering title increase applicant competition.
LLM, Python, and cloud skills are transferable, though agent-specific experience narrows fit.
Multiple mandatory LLM, vector DB, cloud, and CI/CD skills make technical filtering stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy AI agent systems leveraging modern AI/ML frameworks and technologies.
Implement and optimize NLP workflows, LLM-based solutions, and prompt engineering strategies.
Integrate AI models with REST APIs and microservices to build scalable, production-ready applications.
Proficiency in Python and/or Java with experience in frameworks like LangChain, LlamaIndex, Hugging Face Transformers, FastAPI, Flask.
Experience with LLM APIs such as OpenAI GPT, Anthropic Claude, Meta Llama, Google Gemini.
Work Experience Required: Not explicitly mentioned in the JD.
Knowledge of cloud platforms (AWS, Azure, GCP), containerization (Docker), version control (Git), and CI/CD for AI applications.
Experienced in AI agent or multi-agent system development with solid understanding of prompt engineering and RAG pipelines.
Comfortable working with vector databases like Milvus or Chroma and deploying applications in cloud environments.
Effective in collaborating with cross-functional and global teams to deliver innovative, high-quality AI solutions.