Founding ai Engineer - Fintech Up To 90K Hybride Paris - les Nouvelles Recrues H/F Les Nouvelles Recrues

We believe AI can dramatically simplify the lives of accountants, freeing them from mundane tasks and empowering them to provide higher-value strategic advice. Allia relies on 3 key value drivers:

- Copilot: An intelligent agent that answers employees' business-related questions or performs simple tasks.
- Emails management: An intelligence layer on top of email systems to manage client communications efficiently, avoiding information loss or overload.
- Spotlight: A continuous case analysis engine that detects weak signals and enhances the firm's advisory role

Join us in building the next generation of tools that will help accounting firms focus on where lies the highest value : their customer relationship.

Tech at Allia

At Allia, we are building an intelligent platform designed to be the indispensable copilot for accounting professionals. Our core product will leverage AI to automate complex processes, provide instant insights, and offer intelligent support.

Our tech stack and focus areas include:

- Large Language Models (LLMs): Utilizing and fine-tuning state-of-the-art LLMs to understand and process accounting-specific language and queries.
- Retrieval Augmented Generation (RAG): Building robust RAG systems to connect our AI models with vast and diverse sources of accounting knowledge, regulations, and client data.
- AI copilot & agents: Developing an intuitive AI copilot to assist accountants in their daily tasks and intelligent agents capable of proactively answering questions and automating workflows.
- Scalable model and platform infrastructure: Designing and implementing the infrastructure required to collect data, train, deploy, and manage our AI models efficiently and reliably, based on various data sources, with a strong focus on model reliability and security.
- Great UX: integrating smoothly in the accountants tools and workflow will be key to drive adoption. Providing

We are just getting started, the founding engineering team will take part of the technical decisions.

Our vision is to use a cutting-edge stack (TypeScript, Python) to make it future-proof and rely on managed services (AWS, Vercel, Supabase, OpenAI, ...) to focus on our core product.

Your Mission

You are anAI Engineer/Software Engineer/ML Engineer/Data Scientistwith solid software engineering skills and real experience shipping AI-powered features.

Your mission at Allia: transform the complex accounting reality (emails, documents, client history, processes) intorobust AI features that accountants can trust and rely on every day.

We are not looking for someone who only builds PoCs. We're looking for someone who can:

- understand a business problem,
- design a pragmatic AI solution,
- implement it with clean production code,
- measure it, improve it, and ship it.

You will work closely with our co-founders and a team of full-stack and AI engineers, as well as design partners, to build the initial versions of our product and rapidly iterate based on real user feedback.

What We Need From You

We are open to different levels of seniority, as long as you arenot completely juniorand can own meaningful features. You likely havea minimum of 3-5 years of experiencein engineering, data science, or machine learning.

This role is for you if:

- Solid software engineering skills

- Strong experience inPython, with a strong emphasis on writing clean, maintainable code. You prioritize testing, reliability, and performance, and are comfortable working with production backends and APIs.
- Familiar with backend frameworks (e.g.FastAPI or similar), testing and tooling (pytest, linters, type checkers, CI/CD), cloud platforms (AWS) and containerization (Docker).
- Applied AI / ML experience

- Hands-on experience withLLMsandNLP(prompting, orchestration, evaluation). You understand the limitations of LLMs and how to mitigate them (grounding, constraints, evaluation).
- You have already built and shipped AI-powered features or products to real users.
- Experience withLangChain,LangGraph,LangFuse, or similar AI tooling. Experience withRAG systemsand vector databases (e.g.pgvector, Qdrant, turbopufferor similar).
- Ability to ship

- You can take a problem from idea to production autonomously: scope it, design it, implement it, and iterate.
- You are pragmatic: you know when to hack a quick experiment and when to build something more robust.
- Collaboration & mindset

- You enjoy working closely with product and business stakeholders.
- You are proactive, curious, and comfortable with ambiguity.
- You like small teams, fast feedback loops, and high impact.
- Nice-to-have. Exposure toaccounting, finance, or legaldata or workflows. (Great if you have it, absolutely not a blocker if you don't.)

Language:

Fluency in English is required.

Interview Process

Our interview process is designed to be thorough, transparent, and respectful of your time. It typically includes the following stages:
- Initial screening call (30 minutes): A brief conversation with our Talent Acquisition Manager to discuss your background, motivation, and learn more about Allia.
- Technical deep dive (60-90 minutes): A discussion with our CTO focusing on your AI/ML and engineering experience, problem-solving skills, and technical depth in relevant areas.
- Take-home assignment: A practical exercise designed to assess your ability to tackle real-world challenges relevant to the role, followed by a debrief call on the project.
- Meeting with the Founding team (1 hour): An opportunity to meet the entire founding team, discuss the company vision, your potential role in more detail, and ensure a mutual fit in terms of culture and ambition.

Offer:

If successful, we will extend an offer to join Allia.

Life at Allia

Why Join Allia early?

- Make a real impact: Help shape our product, culture, and company from the start.
- Strong team: Work with experienced, driven co-founders who know how to build success.
- Autonomy: take ownership of critical aspects of our product development
- Grow fast: Learn and advance quickly as the company expands.
- Flexible work: We care about results, and offer flexibility in how you work
- Startup energy: Be part of an exciting journey, building something from scratch

Perks

- Nice office in Paris
- Tailor-made remote work policy depending on the job you apply for and where you live
- Competitive salary package
- Meal voucher
- Public transportation reimbursement (50%) or Green mobility allowance
- A great health insurance
- Team events

Ready to build the future of accounting?

If you are an ambitious AI Engineer excited by this challenge, we would love to hear from you. Let's chat!

Allia is an early-stage, ambitious SaaS startup based in the heart of Paris, founded by a team of three experienced co-founders. We are on a mission to revolutionize the accounting industry by harnessing the power of Artificial Intelligence.

We believe AI can dramatically simplify the lives of accountants, freeing them from mundane tasks and empowering them to provide higher-value strategic advice. Allia relies on 3 key value drivers:

- Copilot: An intelligent agent that answers employees' business-related questions or performs simple tasks.
- Emails management: An intelligence layer on top of email systems to manage client communications efficiently, avoiding information loss or overload.
- Spotlight: A continuous case analysis engine that detects weak signals and enhances the firm's advisory role

Copilot: An intelligent agent that answers employees' business-related questions or performs simple tasks.

Emails management: An intelligence layer on top of email systems to manage client communications efficiently, avoiding information loss or overload.

Spotlight: A continuous case analysis engine that detects weak signals and enhances the firm's advisory role

Join us in building the next generation of tools that will help accounting firms focus on where lies the highest value : their customer relationship.

At Allia, we are building an intelligent platform designed to be the indispensable copilot for accounting professionals. Our core product will leverage AI to automate complex processes, provide instant insights, and offer intelligent support.

Our tech stack and focus areas include:

- Large Language Models (LLMs): Utilizing and fine-tuning state-of-the-art LLMs to understand and process accounting-specific language and queries.
- Retrieval Augmented Generation (RAG): Building robust RAG systems to connect our AI models with vast and diverse sources of accounting knowledge, regulations, and client data.
- AI copilot & agents: Developing an intuitive AI copilot to assist accountants in their daily tasks and intelligent agents capable of proactively answering questions and automating workflows.
- Scalable model and platform infrastructure: Designing and implementing the infrastructure required to collect data, train, deploy, and manage our AI models efficiently and reliably, based on various data sources, with a strong focus on model reliability and security.
- Great UX: integrating smoothly in the accountants tools and workflow will be key to drive adoption. Providing

Large Language Models (LLMs): Utilizing and fine-tuning state-of-the-art LLMs to understand and process accounting-specific language and queries.

Retrieval Augmented Generation (RAG): Building robust RAG systems to connect our AI models with vast and diverse sources of accounting knowledge, regulations, and client data.

AI copilot & agents: Developing an intuitive AI copilot to assist accountants in their daily tasks and intelligent agents capable of proactively answering questions and automating workflows.

Scalable model and platform infrastructure: Designing and implementing the infrastructure required to collect data, train, deploy, and manage our AI models efficiently and reliably, based on various data sources, with a strong focus on model reliability and security.

Great UX: integrating smoothly in the accountants tools and workflow will be key to drive adoption. Providing

We are just getting started, the founding engineering team will take part of the technical decisions.

Our vision is to use a cutting-edge stack (TypeScript, Python) to make it future-proof and rely on managed services (AWS, Vercel, Supabase, OpenAI, ...) to focus on our core product.

You are anAI Engineer/Software Engineer/ML Engineer/Data Scientistwith solid software engineering skills and real experience shipping AI-powered features.

Your mission at Allia: transform the complex accounting reality (emails, documents, client history, processes) intorobust AI features that accountants can trust and rely on every day.

We are not looking for someone who only builds PoCs. We're looking for someone who can:

- understand a business problem,
- design a pragmatic AI solution,
- implement it with clean production code,
- measure it, improve it, and ship it.

understand a business problem,

design a pragmatic AI solution,

implement it with clean production code,

measure it, improve it, and ship it.

You will work closely with our co-founders and a team of full-stack and AI engineers, as well as design partners, to build the initial versions of our product and rapidly iterate based on real user feedback.

What We Need From You

We are open to different levels of seniority, as long as you arenot completely juniorand can own meaningful features. You likely havea minimum of 3-5 years of experiencein engineering, data science, or machine learning.

- Solid software engineering skills

- Strong experience inPython, with a strong emphasis on writing clean, maintainable code. You prioritize testing, reliability, and performance, and are comfortable working with production backends and APIs.
- Familiar with backend frameworks (e.g.FastAPI or similar), testing and tooling (pytest, linters, type checkers, CI/CD), cloud platforms (AWS) and containerization (Docker).
- Applied AI / ML experience

- Hands-on experience withLLMsandNLP(prompting, orchestration, evaluation). You understand the limitations of LLMs and how to mitigate them (grounding, constraints, evaluation).
- You have already built and shipped AI-powered features or products to real users.
- Experience withLangChain,LangGraph,LangFuse, or similar AI tooling. Experience withRAG systemsand vector databases (e.g.pgvector, Qdrant, turbopufferor similar).
- Ability to ship

- You can take a problem from idea to production autonomously: scope it, design it, implement it, and iterate.
- You are pragmatic: you know when to hack a quick experiment and when to build something more robust.
- Collaboration & mindset

- You enjoy working closely with product and business stakeholders.
- You are proactive, curious, and comfortable with ambiguity.
- You like small teams, fast feedback loops, and high impact.
- Nice-to-have. Exposure toaccounting, finance, or legaldata or workflows. (Great if you have it, absolutely not a blocker if you don't.)

Solid software engineering skills

- Strong experience inPython, with a strong emphasis on writing clean, maintainable code. You prioritize testing, reliability, and performance, and are comfortable working with production backends and APIs.
- Familiar with backend frameworks (e.g.FastAPI or similar), testing and tooling (pytest, linters, type checkers, CI/CD), cloud platforms (AWS) and containerization (Docker).

Strong experience inPython, with a strong emphasis on writing clean, maintainable code. You prioritize testing, reliability, and performance, and are comfortable working with production backends and APIs.

Familiar with backend frameworks (e.g.FastAPI or similar), testing and tooling (pytest, linters, type checkers, CI/CD), cloud platforms (AWS) and containerization (Docker).

Applied AI / ML experience

- Hands-on experience withLLMsandNLP(prompting, orchestration, evaluation). You understand the limitations of LLMs and how to mitigate them (grounding, constraints, evaluation).
- You have already built and shipped AI-powered features or products to real users.
- Experience withLangChain,LangGraph,LangFuse, or similar AI tooling. Experience withRAG systemsand vector databases (e.g.pgvector, Qdrant, turbopufferor similar).

Hands-on experience withLLMsandNLP(prompting, orchestration, evaluation). You understand the limitations of LLMs and how to mitigate them (grounding, constraints, evaluation).

You have already built and shipped AI-powered features or products to real users.

Experience withLangChain,LangGraph,LangFuse, or similar AI tooling. Experience withRAG systemsand vector databases (e.g.pgvector, Qdrant, turbopufferor similar).

Ability to ship

- You can take a problem from idea to production autonomously: scope it, design it, implement it, and iterate.
- You are pragmatic: you know when to hack a quick experiment and when to build something more robust.

You can take a problem from idea to production autonomously: scope it, design it, implement it, and iterate.

You are pragmatic: you know when to hack a quick experiment and when to build something more robust.

Collaboration & mindset

- You enjoy working closely with product and business stakeholders.
- You are proactive, curious, and comfortable with ambiguity.
- You like small teams, fast feedback loops, and high impact.

You enjoy working closely with product and business stakeholders.

You are proactive, curious, and comfortable with ambiguity.

You like small teams, fast feedback loops, and high impact.

Nice-to-have. Exposure toaccounting, finance, or legaldata or workflows. (Great if you have it, absolutely not a blocker if you don't.)

Language:

Fluency in English is required.

Our interview process is designed to be thorough, transparent, and respectful of your time. It typically includes the following stages:

Initial screening call (30 minutes): A brief conversation with our Talent Acquisition Manager to discuss your background, motivation, and learn more about Allia.

Technical deep dive (60-90 minutes): A discussion with our CTO focusing on your AI/ML and engineering experience, problem-solving skills, and technical depth in relevant areas.

Take-home assignment: A practical exercise designed to assess your ability to tackle real-world challenges relevant to the role, followed by a debrief call on the project.

Meeting with the Founding team (1 hour): An opportunity to meet the entire founding team, discuss the company vision, your potential role in more detail, and ensure a mutual fit in terms of culture and ambition.

Offer:

If successful, we will extend an offer to join Allia.

Why Join Allia early?

- Make a real impact: Help shape our product, culture, and company from the start.
- Strong team: Work with experienced, driven co-founders who know how to build success.
- Autonomy: take ownership of critical aspects of our product development
- Grow fast: Learn and advance quickly as the company expands.
- Flexible work: We care about results, and offer flexibility in how you work
- Startup energy: Be part of an exciting journey, building something from scratch

Make a real impact: Help shape our product, culture, and company from the start.

Strong team: Work with experienced, driven co-founders who know how to build success.

Autonomy: take ownership of critical aspects of our product development

Grow fast: Learn and advance quickly as the company expands.

Flexible work: We care about results, and offer flexibility in how you work

Startup energy: Be part of an exciting journey, building something from scratch

Perks

- Nice office in Paris
- Tailor-made remote work policy depending on the job you apply for and where you live
- Competitive salary package
- Meal voucher
- Public transportation reimbursement (50%) or Green mobility allowance
- A great health insurance
- Team events

Nice office in Paris

Tailor-made remote work policy depending on the job you apply for and where you live

Competitive salary package

Meal voucher

Public transportation reimbursement (50%) or Green mobility allowance

A great health insurance

Team events

Ready to build the future of accounting?

If you are an ambitious AI Engineer excited by this challenge, we would love to hear from you. Let's chat!