About Delpha

Delpha builds AI agents that clean, enrich, and de-duplicate CRM data so revenue teams can trust Salesforce, Snowflake, and ServiceNow. We automate complex data tasks and ship measurable impact fast. 

Our values: Trust, Customer Success, Innovation, Diversity.

The successful candidate will be motivated by an entrepreneurial, fast-paced and highly collaborative environment, have high quality standards and be passionate about SaaS and Artificial Intelligence.

Position Overview

You’ll own the platform and models behind Delpha’s AI Agents—data pipelines, entity resolution, enrichment, orchestration, evaluation—and ship reliable production systems on AWS. The ideal candidate has a solid engineering background, strong skills in AWS and ML operations, and is passionate about delivering tangible, high-impact AI solutions.

Responsibilities

• Design & operate AI agent workflows (tool use/RAG, evaluation, guardrails, observability).
• Build data pipelines and services that process large CRM datasets (Salesforce, Snowflake, Postgres).
• Productionize dedup/entity resolution, normalization, email validation/finder, and data-quality scoring.
• Own MLOps (CI/CD for models & prompts, registries, feature stores, deployment on SageMaker/Bedrock, IaC (Terraform/CDK).
• Define SLAs, monitor drift & quality, and drive incident-free releases with product & GTM.
• Contribute to architecture decisions for scale, cost, and security.

Qualifications

• 2–5+ years building production ML/AI systems (or equivalent impact).
• Strong Python and SQL; PyTorch or TensorFlow.
• Cloud on AWS (or GCP/Azure and ready to move to AWS); Docker/K8s; Terraform or CDK.
• Hands-on MLOps: model serving, CI/CD (GitHub Actions), monitoring/alerts.
• Shipped LLM workloads (Bedrock/OpenAI/Claude) and RAG with vector search.
• Solid CS/ML foundations (data structures, ML algorithms, evaluation).

Nice to Have

• Experience building autonomous AI agents (tooling, policies, eval harness).
• Data engineering (lakes, pipelines) and Snowflake.
• Salesforce data model / Data Cloud / Heroku.
• Open-source contributions or strong GitHub projects.
• Entrepreneurial “ship it” mindset; comfortable with ambiguity.

Why Join Delpha?

• Swile meal vouchers · Alan health coverage
• Hybrid work: 2 days remote/week (Paris 14e, 82 Av. du Maine)
• Learning budget, modern tooling, high ownership
• Competitive package (+ equity)

Application Process

Interested candidates should submit their resume, GitHub profile (if applicable), and a brief cover letter highlighting relevant experiences at [email protected] or via Linkedin.

• 20 minutes Google Meet interview with People & Culture Manager
• 1 hour face-to-face Technical interview with CTO
• A short take-home Practical Challenge
• 30 minutes face-to-face interview with CEO