Senior AI Software Engineer
About Amp Assist:
We are an early stage
- up seeking to make a real impact in the e
Mobility sector, by providing intelligent services that shape the EV drivers experience while reducing operational costs.
With that goal in mind, we are building AI-native systems that keep EV charging infrastructure running smoothly and intelligently. Our two main products are:
Amp Nexus – an
- channel contact center powered by AI Agents (voice, chat, and email) that helps EV drivers in real time to solve any reported issues and to do an auto incident escalation.
Amp Pulse – our AI operations brain, monitoring thousands of charge points 24/7, detecting issues early, automating maintenance workflows, and performing predictive diagnostics across entire networks.
We're hiring a Senior AI Software Engineer with strong
- solving skills and a drive to build impactful systems. If you're looking for a role where your technical decisions shape the direction of the product and truly matter — this is your opportunity.
What You’ll Do:
Build and maintain scalable backend services that orchestrate AI agents across chat, email, and voice channels (Amp Nexus) and across diagnostics, monitoring, and actions (Amp Pulse).
Use agentic friendly frameworks like Pydantic AI and Pipecat to define agent protocols, memory structures, and tool schemas for structured agent workflows.
Apply emerging standards like Google A2A (Agents-to-Agents) and Anthropic MCP (Model Context Protocol) to ensure agents communicate effectively and maintain shared memory/state.
Contribute to the design of APIs that connect agents to external systems (CRMs, MQTT brokers, diagnostic tools, ticketing systems, etc. ).
Collaborate on agent evaluation tooling , from
- regression tests to live replay pipelines and performance dashboards.
Have the opportunity to influence the product direction and to integrate workflows that bring value to our customers.
What We’re Looking For:
Must-Have:
5+ years of experience as a software engineer, with strong backend or
- stack exposure.
Deep proficiency in Python and modern API development (Fast
API, asyncio, type hints, etc. ).
Experience with tools like Pydantic AI , Pipecat , Lang
Chain , or
- built agent frameworks.
Practical experience building or integrating AI/LLM-powered systems.
Strong understanding of
- based design patterns, tool use, and
- driven workflows.
Experience working
-
- end in production environments — from observability to deployment and testing.
Incorporate AI tools (Claude Code, Cursor, Aider) into your workflows.
Bonus Points For:
Familiarity with LLM
- tuning , RAG pipelines , or model hosting (e. g. , v
LLM, Hugging Face).
Exposure to protocols like Google A2A and Anthropic MCP for interoperable agent systems.
Experience building internal evaluation tools for agents (e. g. ,
- based tests, regression tracking).
Knowledge of the e
Mobility transportation industry is a plus.
Why Join Amp Assist?
Work on systems that make a
- world impact by improving EV infrastructure reliability and user experience.
Help scale intelligent agents across support channels and operational automation — no "demo-ware", just deployed intelligence.
Collaborate with a tight,
- level team solving hard engineering challenges with real AI.
Fully remote team with flexible hours, high autonomy, and fast
- making.
Have a direct impact on product direction — we foster a flat, collaborative environment where engineers are deeply involved in design decisions and roadmap planning.
Competitive salary, equity opportunities, and learning/development support.
If you're an engineer who loves building robust systems, and you're excited about working at the intersection of AI, automation, and
- world infrastructure , we’d love to talk.
- Informações detalhadas sobre a oferta de emprego
Empresa: Amp Assist Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 6. 8. 2025
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