Build and enhance tools for AI-powered data systems using Python or Go.
We are looking for Software Engineers to work with a leading Frontier LLM Lab to help accelerate their Agentic Data Cloud roadmap by building and scaling tools for next-generation AI-powered data systems. You will work on developing MCP tools, improving AI-assisted developer workflows, and expanding platform capabilities across the Data Cloud ecosystem.
Key Responsibilities
Build and enhance MCP tools for both proprietary and open-source environments
Expand test coverage for tools used by AI coding assistants (e.g., Gemini CLI, Claude Code)
Refactor, maintain, and improve existing test frameworks and codebases
Convert technical blogs into production-ready sample code and documentation
Develop real-world data applications (e.g., using QueryData) to support product R&D and experimentation
Collaborate with cross-functional teams to accelerate adoption of agentic AI capabilities
Must-Have Requirements
Minimum of 4–8 years of software engineering experience
Strong proficiency in Python or Go (ideally both)
Solid experience with SQL (intermediate minimum)
Prior experience working in Google3 / Google engineering environments
Experience building or contributing to agentic AI systems
Hands-on experience with AI coding tools (e.g., Claude Code, Gemini CLI)
Strong coding, testing, and debugging skills
Good technical writing and documentation skills
Nice-to-Have
Experience contributing to open-source projects on GitHub (at least some team members expected)
Advanced SQL expertise (preferred for some team members)
Offer details
Commitments required: 40 hours per week with overlap with PST
Engagement type: Contractor
Duration of contract: 6 months (expected start date is 1st week of Jun, 2026)
... development, delivering the next generation of retail systems software to some of the largest retailers in the world. Our global engineering teams work on product domains and customer solutions, addressing mobility, high-volume systems, integrations, and large-scale data challenges. Agentic engineering is now part of how we work. ...
... observability, automated evaluation and retraining. - Lead feature engineering on complex workstreams so that data assets are reliable, reusable and ready for AI. - Govern and secure data. Implement access controls, PII/PHI handling, authentication and RBAC across cloud environments. - Make sound engineering trade-offs ...
... experience in software engineering, with deep hands-on experience designing, coding, testing, and operating scalable, resilient, production-grade backend systems and cloud-native services - Expert-level coding capability in modern programming languages such as Python, TypeScript, Go, or similar, with the ability to personally contribute ...
... Support - Python - RAG - Security - https://jobeax.com/link/GrYTXLZMpxEMJknV - Cloud - Agentic AI More: We are supporting a global IT consultancy expanding its AI and Software Engineering function in response to increased Public Sector project work. This Senior AI Software Engineer role involves innovative projects in secure, ...
... risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. Skills And Competencies - 8+ years of experience in software engineering, with deep hands‑on experience designing, coding, testing, and operating scalable, resilient, production‑grade backend systems and cloud‑native ...
... business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams - Represents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution design - Contributes to the team's GenAI education programme ...
... What you'll be doing - Building and scaling backend services using https://jobeax.com/link/JSd7UYCSg572jJDY and TypeScript. - Developing AI-powered features, agentic workflows, and automation tools. - Working closely with engineering leadership on technical strategy and architecture. - Using Python to support AI, data, and ...
... Proficiency in Python and AI/agentic frameworks, FastAPI, Flask, Pandas, LangChain, LangGraph, MCP Servers, RAG systems - Good understanding of data structures, data pipelines, SQL databases – MS SQL Server / Postgres, Snowflake - Solid software engineering fundamentals — version control (Git), CI/CD, testing, and containerization ...
... data analysis skills to work collaboratively with business colleagues to understand underlying business problems and friction points. - Using your excellent Agentic AI, Software Engineering and Architecture skills to identify and explore options for addressing the most important business issues. - Exploring short term solutions ...