Senior software engineers (AI)

Priority is Knowledge, Character and Capability to be flexible - Finds solutions, always finds a way but will get support if needed.

Buy Out Option is there they are looking to fill ASAP

Min 3yrs fully on AI, Preferred 5-7 Yrs

Priority on a persons capability not how long they worked if 3 years can do better than a 6 year senior they will pick the 3 years.

URGENT - 2HC is replacements

3 Priorities - Phyton Coding, AWS preferred Azure is fine, AI coding Claude or any latest.

JD Link - https://www.linkedin.com/jobs/view/4336571224/

Why this role is different

· You will have access to leading AI coding assistants (Claude Code Max as primary, plus Jules, Codex, GitHub Copilot, CodeRabbit, and others) - use what works best for each task for coding, refactoring and debugging work.

· Everyone, including non-technical teammates, uses AI tools (ChatGPT, Gemini, Claude, Perplexity, etc.) and is encouraged to prototype workflows and AI agents themselves. AI isn’t a separate team – it’s the default way we work.

· Our CEO and CTO are both technical founders who code, build AI products, and run monthly deep-dive AI workshops on topics like advanced prompting, AI agents, model temperature, vector embeddings, MCP, context engineering, RAG, DSPy, and more.

· You’ll collaborate with our Data Science team on generative AI products that use both frontier and open-source models (ChatGPT, Claude, Gemini, Mistral, DeepSeek, Qwen, GLM, etc.) and modern AI infrastructure (Databricks, OpenRouter, AWS SageMaker, Google Vertex AI).

· If you want to ship real software while levelling up as an AI-native engineer, this is the kind of environment you’re joining.

The Role

As a Senior Software Engineer, you will help design and build the next generation of Pantas’ climate and ESG platform. You’ll own meaningful parts of our backend and/or full stack, work closely with product, business analysts, and data science, and help define what “AI-first engineering” looks like for the team.

You’ll like this role if you enjoy hands-on coding, system design, and working directly with LLMs and AI tooling to deliver features faster and smarter.

How you’ll work with AI at Pantas

This is what “AI-first” means in practice for you:

· AI-driven product workflow

• Our Business Analysts and product team use an AI PRD Agent to turn ideas into structured PRDs.
• AI then helps generate a technical implementation plan, which you refine and turn into production-ready code.

· AI-assisted coding as default

• You’ll use tools like Claude Code Max, GitHub Copilot, CodeRabbit, Google Jules and others for writing and refactoring code, generating tests and improving coverage, debugging and performance tuning.

· Design-to-code with Figma MCP

• We use Claude Code + Figma MCP to convert Figma/front-end designs into starter code, which you then clean up, harden, and ship.

· Building generative AI features

• Work with our Data Science team to build genAI-powered features for climate and ESG: data extraction via LLM, document understanding, smart workflows, decision support, etc. You’ll work with LLMs and orchestration (prompting, retrieval, agent flows) across both proprietary and open-source models.

·. Continuous AI upskilling

• Join monthly AI workshops led by both the CEO and CTO on topics like advanced prompting, AI agents, RAG, embeddings, MCP, DSPy, and new toolkits. Experiment with new AI infra and platforms (Databricks, OpenRouter, SageMaker, Vertex AI, etc.) as we evolve our stack.

What you’ll get to do

· Design, build, and maintain scalable backend and/or full-stack services for our platform.

· Turn AI-generated PRDs and implementation plans into secure, robust, production-grade systems.

· Integrate with external systems (banks, partners, customer data sources) and ensure data is clean, consistent, and auditable.

· Ship AI-assisted workflows and features that help customers collect, validate, and analyse their data.

· Collaborate with product, business analysts, and data science to rapidly prototype via AI, then iteratively refine into stable features.

· Contribute to system architecture, coding standards, and our AI engineering playbook for Pantas.

· Mentor other engineers in using AI tools effectively and help raise the bar for AI-native engineering across the team.

What you’ll need to succeed

· Solid experience (typically 3-5 years) as a software engineer in backend or full-stack roles, comfortable owning features end-to-end.

· Strong skills in at least one modern backend stack (e.g. Python/Django, Node.js, etc.) and experience with SQL databases.

· Experience building web applications or APIs used in production environments.

· A habit of writing cl