The Role
Design, build, and operate production AI agents for automated supplier analysis. Develop NLP and RAG pipelines, integrate agent systems with Python and GCP backend services, and own MLOps including CI/CD, monitoring, evaluation, cost control, and inference efficiency. Establish quality benchmarks, maintain engineering standards, and share knowledge across the team. The role requires hands-on production experience with LLM or agentic systems and strong software engineering practices.
Summary Generated by Built In
About Alpas
Alpas is a Y Combinator portfolio company building agentic sourcing technology for direct procurement. Our AI agents find, qualify and enrich suppliers so procurement teams reach objectives such as cost reduction, risk mitigation, resilience and innovation. We are based in Berlin, Prenzlauer Berg, and work hybrid.
The role
You join our Engineering team as a senior individual contributor and report directly to the CTO. We work in small, cross-functional product teams without middle management; you own your projects end to end, from design to production operation. Your mission: Enable fully-automated supplier analysis at stellar quality.
Your responsibilities
* Design, build and operate production AI agents with LangGraph, including agentic workflow patterns (planning, tool use, reflection, human-in-the-loop)
* Build NLP and RAG pipelines (vector databases, retrieval strategies, evaluation) that feed the agents
* Integrate agents reliably with our backend services (Python, FastAPI, Pub/Sub, GCP) and keep agent-to-agent and agent-to-backend interfaces scalable
* Own MLOps for agentic workloads: CI/CD, monitoring, evaluation pipelines, cost control and inference efficiency
* Set and meet quality targets (for example under 1% failure rate for the search agent) and benchmark models and approaches
* Keep the codebase healthy and share knowledge across the team through reviews and documentation
What we are looking for
If you match most of these requirements and not all of them, you should still apply.
* At least 5 years of professional experience as an AI, ML, MLOps or backend engineer (working-student time does not count)
* Hands-on experience shipping LLM-based or agentic systems to production, not only prototypes
* Degree in computer science, AI or a closely related field, or equivalent practical background
* Strong Python and software-engineering practices (testing, CI/CD, Docker, cloud; GCP preferred)
* Experience with LangGraph or comparable agent frameworks, vector databases and evaluation of LLM systems
* Fluent English (C1); based in the EU, able to work hybrid from Berlin
* PyTorch and NLP model training, Kubernetes, Terraform, Argo
* Experience with procurement, supply chain or B2B data products
Your benefits
* Work on an AI-core product, develop cutting-edge ML models and NLP systems for automating the supplier search that drive innovation and deliver real impact
* High ownership and responsibility to manage your own projects
* See your work deliver immediate results for stakeholders and collaborate closely with our Product team
* Work in a fast-paced environment with challenging tasks (zero-boredom-guarantee)
* Rapid development with a steep learning curve
* Awesome team events and an inclusive company culture with a diverse team
* A hybrid work environment and a nice office in Berlin, Prenzlauer Berg
* Honest, fast, and open collaboration as well as strong communication skills
* We hire you because you are the subject-matter expert in your fields, we appreciate being challenged
* Ability and willingness to commit to goals and tangible impact
* Resourceful self-starters who hold themselves to high standards, have attention to detail, are intrinsically motivated & eager to learn on a daily basis
* Proactive hands-on working style with passion for customer-facing tasks
* Team members who are excited about our mission & tech
Alpas is a Y Combinator portfolio company building agentic sourcing technology for direct procurement. Our AI agents find, qualify and enrich suppliers so procurement teams reach objectives such as cost reduction, risk mitigation, resilience and innovation. We are based in Berlin, Prenzlauer Berg, and work hybrid.
The role
You join our Engineering team as a senior individual contributor and report directly to the CTO. We work in small, cross-functional product teams without middle management; you own your projects end to end, from design to production operation. Your mission: Enable fully-automated supplier analysis at stellar quality.
Your responsibilities
* Design, build and operate production AI agents with LangGraph, including agentic workflow patterns (planning, tool use, reflection, human-in-the-loop)
* Build NLP and RAG pipelines (vector databases, retrieval strategies, evaluation) that feed the agents
* Integrate agents reliably with our backend services (Python, FastAPI, Pub/Sub, GCP) and keep agent-to-agent and agent-to-backend interfaces scalable
* Own MLOps for agentic workloads: CI/CD, monitoring, evaluation pipelines, cost control and inference efficiency
* Set and meet quality targets (for example under 1% failure rate for the search agent) and benchmark models and approaches
* Keep the codebase healthy and share knowledge across the team through reviews and documentation
What we are looking for
If you match most of these requirements and not all of them, you should still apply.
* At least 5 years of professional experience as an AI, ML, MLOps or backend engineer (working-student time does not count)
* Hands-on experience shipping LLM-based or agentic systems to production, not only prototypes
* Degree in computer science, AI or a closely related field, or equivalent practical background
* Strong Python and software-engineering practices (testing, CI/CD, Docker, cloud; GCP preferred)
* Experience with LangGraph or comparable agent frameworks, vector databases and evaluation of LLM systems
* Fluent English (C1); based in the EU, able to work hybrid from Berlin
* PyTorch and NLP model training, Kubernetes, Terraform, Argo
* Experience with procurement, supply chain or B2B data products
Your benefits
* Work on an AI-core product, develop cutting-edge ML models and NLP systems for automating the supplier search that drive innovation and deliver real impact
* High ownership and responsibility to manage your own projects
* See your work deliver immediate results for stakeholders and collaborate closely with our Product team
* Work in a fast-paced environment with challenging tasks (zero-boredom-guarantee)
* Rapid development with a steep learning curve
* Awesome team events and an inclusive company culture with a diverse team
* A hybrid work environment and a nice office in Berlin, Prenzlauer Berg
* Honest, fast, and open collaboration as well as strong communication skills
* We hire you because you are the subject-matter expert in your fields, we appreciate being challenged
* Ability and willingness to commit to goals and tangible impact
* Resourceful self-starters who hold themselves to high standards, have attention to detail, are intrinsically motivated & eager to learn on a daily basis
* Proactive hands-on working style with passion for customer-facing tasks
* Team members who are excited about our mission & tech
Skills Required
- At least 5 years of professional experience as an AI, ML, MLOps, or backend engineer
- Hands-on experience shipping LLM-based or agentic systems to production
- Degree in computer science, AI, or a closely related field, or equivalent practical experience
- Strong Python and software engineering practices, including testing, CI/CD, Docker, and cloud
- Experience with LangGraph or comparable agent frameworks, vector databases, and LLM system evaluation
- Fluent English at C1 level
- Based in the EU and able to work hybrid from Berlin
- Experience with PyTorch and NLP model training
- Experience with Kubernetes, Terraform, and Argo
- Experience with procurement, supply chain, or B2B data products
- Strong communication skills
- Ability and willingness to commit to goals and tangible impact
- Proactive, hands-on working style with attention to detail and intrinsic motivation
- Passion for customer-facing tasks
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The Company
What We Do
Alpas provides an AI-powered sourcing intelligence platform designed to optimize procurement for manufacturing companies. By automating manual, data-intensive workflows, it enables procurement departments to identify and benchmark suppliers for technical components and services up to ten times faster than traditional methods, significantly reducing sourcing time and decreasing purchasing costs.
