Software Architect - Enterprise AI
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Clera
NewBuild and deploy end-to-end AI agents for sales automation, working across full stack with LLMs, embeddings, and data pipelines. Requires 2+ years of engineering experience with substantive AI/LLM depth, strong NLP and ML expertise, hands-on RLHF or DPO experience, and full-stack skills in React, TypeScript, and cloud infrastructure. On-site in Munich. €80,000–€130,000 annually.
Written from this posting by Neural Jobs AI. The full description is below.
This is a hands-on AI engineering role at a fast-growing, Y Combinator-backed B2B SaaS startup building AI-powered sales automation for distributors and manufacturers. You will work across the full stack to design and ship end-to-end AI systems that directly drive product growth and customer impact.
Build, deploy, and optimize AI agents end-to-end across the full stack.
Work with embeddings and fine-tune LLMs for classification and reranking tasks.
Optimize algorithms for product search and discovery.
Apply RLHF and DPO techniques to align LLMs with human feedback.
Build data pipelines to process large-scale unstructured data efficiently.
Improve backend scalability, stability, and performance.
2+ years of engineering experience, with substantive AI/LLM or backend-oriented depth (not frontend-focused).
Strong experience with NLP, LLMs, embeddings, ML, and AI-powered applications.
Demonstrated experience building and scaling data and ML pipelines, including large-scale unstructured data.
Hands-on experience applying RLHF or DPO to align LLMs with human feedback.
Full-stack development skills using React, TypeScript, and Next.js.
Experience with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform).
Strong computer science fundamentals.
Ability and willingness to work on-site in Munich on a regular basis.
Salary range: 80,000 to 130,000 EUR annually. Visa sponsorship is available.
On-site in Munich, Bavaria, Germany. This is not a remote or heavily hybrid position; regular in-person presence is expected.
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