Position Details
About this role
This role involves designing, building, and deploying large language model-powered agents and applications, working closely with data science teams to operationalize AI solutions in cloud environments.
Key Responsibilities
- Build agentic applications and workflows using LLM frameworks
- Design and implement tool integrations and orchestration
- Translate specifications into deployable services
- Implement RAG pipelines and retrieval optimization
- Own the full lifecycle of agent systems
Technical Overview
The technical scope includes large language models, API integrations, cloud deployment (GCP, AWS, Azure), prompt engineering, vector store integration, and production monitoring.
Ideal Candidate
The ideal candidate is a mid-level AI engineer with 3+ years of experience working with large language models, API integrations, and deploying AI solutions in cloud environments such as GCP, AWS, or Azure. They are skilled in prompt engineering, orchestration, and monitoring AI systems in production.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of software engineering experience, Lack of experience with large language models, No cloud deployment experience, No API integration skills, No experience with prompt engineering
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