Description

Key Responsibilities:

• Ability to design thorough test cases and support reliability testing across the tools and agents you build.
• Ability to manage your own development work effectively.
• Ability to translate non-technical team needs into working software.

Key Requirements and Technology Experience: 

• Key skills: RAG, MODEL CONTEXT PROTOCOL, LLMs, AWS SERVICES, ETL, SQL.
• Hands-on experience building with LLMs — prompt engineering, agent frameworks, tool-use patterns, or RAG systems.
• Experience with the Model Context Protocol (MCP) or similar agent-tool integration patterns.
• 3+ years of software engineering experience with production applications (TypeScript/JavaScript, Python, or similar).
• Active AWS certification and demonstrated knowledge of AWS services.
• Experience with SQL and data platforms (Athena, Spark, or equivalent).
• Strong software debugging skills, including ability to diagnose issues across distributed systems, data pipelines, and AI agent workflows.
• Strong written and verbal communication skills.
• Experience building knowledge graphs, context graphs, or semantic layers for enterprise data
• Familiarity with Tableau, data visualization tools, or BI platform APIs
• Background in data engineering or analytics, understanding ETL pipelines, data quality, and validation workflows
• Experience with CI/CD, Gitlab, and infrastructure-as-code
• Familiarity with Jira APIs, Confluence, or project management tool integrations
• Experience with job monitoring, log analysis, or operational alerting systems

Key Skills

Education

Any Graduate