About ama
Hiring is one of the most important decisions companies make and one of the most broken. Companies spend millions on recruiting yet still rely on expensive intermediaries fragmented tools and gut feeling. Roles stay unfilled for months mis-hires are common bias creeps in and hiring mistakes become incredibly costly at scale.
We started ama to change that.
We are building an AI agent for talent that helps companies truly understand whom they need and objectively assess who fits based on skills likelihood to respond and context not stereotypes. Instead of automating broken processes we rethink hiring from first principles and bring world-class headhunter quality to every hire at enterprise scale.
Founded in 2024 ama raised 2M in funding and started customer pilots in mid-2025. Since then weve moved from beta pilots into enterprise expansion closing our first six-figure ACV enterprise deals. Today we are building for the enterprise market and scaling a product that is already solving real high-stakes hiring problems for our customers.
Tasks
What you will do
Design test and implement AI-driven product features using structured prompt engineering Python scripting and LLM tooling
- Prototype new features fast
Use low-code platforms (e.g. Lovable) coding agents and rapid prototyping techniques to validate product ideas quickly
Set up evaluations test different prompts and model behaviors analyze results and iteratively improve quality
- Work close to users & product decisions
Collaborate closely with product and commercial teams incorporating real customer feedback into product improvements
Requirements
What makes you a great fit
- You care deeply about quality and excellence
- Persistence: You understand that building products means failing often learning fast and iterating
- A lot of creativity and curiosity about how AI can be applied to real-world problems
- Strong attention to detail especially important when working with AI systems
- Basic coding experience (Python is a plus) or experience with low-code / prototyping tools
- First experience with prompt engineering or working with LLMs
- Previous internship experience in consulting startups or fast-paced corporate environments is beneficial
Benefits
Why you will love working here
- Work at the forefront of applied AI
Help build a real AI agent for talent using LLMs structured prompting evaluations and experimentation - Ship early ship real
Youll work on early-stage product features that go live with enterprise customers - Learn how AI products are actually built
From setting up evals and running tests to structured prompt engineering and workflow design - Work directly with founders
Collaborate closely with Pavel (Co-Founder Product) and the founding team - High ownership steep learning curve
Youll be trusted with real responsibility and learn faster than in traditional intern roles
Practical details
- Location: Berlin (on-site / hybrid)
- Language: English required German is optional
- Duration: 6 months
- Type: Full-time paid internship
- How to apply: A link to your LinkedIn profile is sufficient.
About amaHiring is one of the most important decisions companies make and one of the most broken. Companies spend millions on recruiting yet still rely on expensive intermediaries fragmented tools and gut feeling. Roles stay unfilled for months mis-hires are common bias creeps in and hiring mistake...
About ama
Hiring is one of the most important decisions companies make and one of the most broken. Companies spend millions on recruiting yet still rely on expensive intermediaries fragmented tools and gut feeling. Roles stay unfilled for months mis-hires are common bias creeps in and hiring mistakes become incredibly costly at scale.
We started ama to change that.
We are building an AI agent for talent that helps companies truly understand whom they need and objectively assess who fits based on skills likelihood to respond and context not stereotypes. Instead of automating broken processes we rethink hiring from first principles and bring world-class headhunter quality to every hire at enterprise scale.
Founded in 2024 ama raised 2M in funding and started customer pilots in mid-2025. Since then weve moved from beta pilots into enterprise expansion closing our first six-figure ACV enterprise deals. Today we are building for the enterprise market and scaling a product that is already solving real high-stakes hiring problems for our customers.
Tasks
What you will do
Design test and implement AI-driven product features using structured prompt engineering Python scripting and LLM tooling
- Prototype new features fast
Use low-code platforms (e.g. Lovable) coding agents and rapid prototyping techniques to validate product ideas quickly
Set up evaluations test different prompts and model behaviors analyze results and iteratively improve quality
- Work close to users & product decisions
Collaborate closely with product and commercial teams incorporating real customer feedback into product improvements
Requirements
What makes you a great fit
- You care deeply about quality and excellence
- Persistence: You understand that building products means failing often learning fast and iterating
- A lot of creativity and curiosity about how AI can be applied to real-world problems
- Strong attention to detail especially important when working with AI systems
- Basic coding experience (Python is a plus) or experience with low-code / prototyping tools
- First experience with prompt engineering or working with LLMs
- Previous internship experience in consulting startups or fast-paced corporate environments is beneficial
Benefits
Why you will love working here
- Work at the forefront of applied AI
Help build a real AI agent for talent using LLMs structured prompting evaluations and experimentation - Ship early ship real
Youll work on early-stage product features that go live with enterprise customers - Learn how AI products are actually built
From setting up evals and running tests to structured prompt engineering and workflow design - Work directly with founders
Collaborate closely with Pavel (Co-Founder Product) and the founding team - High ownership steep learning curve
Youll be trusted with real responsibility and learn faster than in traditional intern roles
Practical details
- Location: Berlin (on-site / hybrid)
- Language: English required German is optional
- Duration: 6 months
- Type: Full-time paid internship
- How to apply: A link to your LinkedIn profile is sufficient.
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