Applied AI Engineer at Swantide

Job description

Engineering Remote Full-time Apply Swantide is the leading vertical AI platform purpose-built for Salesforce management and professional services automation. Our platform of specialized AI agents handles the mind-numbing complexity of Salesforce, from initial planning through deployment and beyond. Why This Matters AI unlocks the potential to disrupt the professional services market. Billion-dollar consulting companies and Fortune 500 companies now use Swantide to deliver the same amount of work in a fraction of the time and with better margins. The Role: Applied AI Engineer We are looking for a driven backend-focused engineer with a passion for AI to join our early engineering team. You'll take ownership of the services, pipelines, and infrastructure that power our AI Admin and customer-facing products. This isn't just another backend role. You'll be architecting the foundation for AI agents that handle complex, multi-step workflows. You'll build the infrastructure that allows our AI to understand enterprise context, execute changes safely, and scale to handle billions in transaction value. If you're excited about building the backend systems that will power the future of professional services, this is your opportunity to make a massive impact. You will • Design, build, and own Python microservices that power new AI Agents to automate the ownership of Salesforce • Create and optimize data pipelines (Prefect) and vector/NoSQL/SQL databases that feed our LLM-based products • Champion scalability, observability, and automated testing to keep Swantide reliable as we grow • Drive projects from zero to production • Collaborate with product, design, and customer-success teams to ship features end-to-end and unblock customers quickly • Participate in an on-call rotation, triaging and resolving production issues • Contribute to our GCP/Kubernetes infrastructure and CI/CD pipelines as bandwidth and interest allow You have • 4+ years of professional software-engineering experience with a focus on backend systems • A passion and curiosity for cutting edge AI, you're reading the latest blogs and posts about best practices and what the best companies are doing to push the boundaries of building agents • Strong desire to build solutions for customers that make their life better • Proven track record of building and operating cloud-native microservices in Python • Hands-on experience with at least two of: MongoDB, Postgres/SQL, vector databases • Solid understanding of system design & scale, trade-offs, and performance tuning • Comfortable working in a fast-moving, early-stage startup environment • Attention to detail and an attitude of ownership over the product and code you produce Nice to have but not necessary • Experience building AI Agents and/or products on top of enterprise grade models • Familiarity with modern data-pipeline frameworks and distributed messaging/queueing • Experience with Kubernetes, Terraform, GCP, or other cloud-infra tooling • Exposure to SRE/observability best practices • Exposure to TypeScript/React for occasional full-stack projects • Knowledge of Salesforce or other CRM ecosystems Our stack • Python (FastAPI, Prefect) • GCP + Kubernetes • Postgres, MongoDB, vector stores • TypeScript / React (web app) • Pub/Sub, Terraform How to apply If you're interested in applying send an email to hello@swantide.com with your resume and why you're interested.

Requirements

Must-haves

Engineering Remote Full-time
Why This Matters
The Role: Applied AI Engineer
If you're excited about building the backend systems that will power the future of professional services, this is your opportunity to make a massive impact.
Design, build, and own Python microservices that power new AI Agents to automate the ownership of Salesforce
Create and optimize data pipelines (Prefect) and vector/NoSQL/SQL databases that feed our LLM-based products
Champion scalability, observability, and automated testing to keep Swantide reliable as we grow
Drive projects from zero to production
Collaborate with product, design, and customer-success teams to ship features end-to-end and unblock customers quickly
Participate in an on-call rotation, triaging and resolving production issues
Contribute to our GCP/Kubernetes infrastructure and CI/CD pipelines as bandwidth and interest allow
4+ years of professional software-engineering experience with a focus on backend systems
A passion and curiosity for cutting edge AI, you're reading the latest blogs and posts about best practices and what the best companies are doing to push the boundaries of building agents
Strong desire to build solutions for customers that make their life better
Proven track record of building and operating cloud-native microservices in Python
Hands-on experience with at least two of: MongoDB, Postgres/SQL, vector databases
Solid understanding of system design & scale, trade-offs, and performance tuning
Comfortable working in a fast-moving, early-stage startup environment
Attention to detail and an attitude of ownership over the product and code you produce
Experience building AI Agents and/or products on top of enterprise grade models
Familiarity with modern data-pipeline frameworks and distributed messaging/queueing
Experience with Kubernetes, Terraform, GCP, or other cloud-infra tooling
Exposure to SRE/observability best practices

Nice-to-haves

Nice to have but not necessary

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonsqlllmgcpkubernetesci/cdpostgrestypescriptreact

Platform: careers-html
Effort: medium