phData
Forward Deployed AI Product Engineer
US-Remote
Sponsorship not specifiedDetected 1 day ago
JavaScriptTypeScriptPythonReactFull-Stack DevelopmentSQLPostgreSQLSnowflakeDatabricksVector DatabasesAWSGCPAzureCI/CDMachine LearningdbtData EngineeringLLMsRAGAgentic AIAI OrchestrationEmbedded SystemsCommunication
About the role
- Identify and shape AI use cases that were previously considered too messy, too manual, or too cross-functional to tackle.
- Rapidly prototype full-stack, MVP-grade agents, applications, and workflows that demonstrate value in weeks, not quarters.
- Productionize the most impactful solutions, integrating with the client's AI Data Platform, existing systems, and operational workflows.
Responsibilities
- Design and build full-stack, MVP-grade prototypes for AI-native applications, agents, and workflows that can be validated quickly with end users.
- Deliver end-to-end solutions using a mix of Python, SQL, and TypeScript/JavaScript, including APIs, back-end services, and front-end experiences.
- Build high-fidelity, production-ready user interfaces (e.g., Streamlit/Gradio/React or similar) that make AI capabilities usable and intuitive for business users.
- Capture and contribute technical patterns, best practices, and anti-patterns back into the client's platform and phData's internal playbooks to build long-term leverage.
- Lead or support discovery sessions with business stakeholders to surface high-impact AI opportunities, unconstrained by legacy processes or "the way we've always done it."
- You will own the end-to-end lifecycle of AI-native solutions in your business area: discovery, value articulation, design, implementation, iteration, and handoff.
- You will act as a lead engineer within one or more "fusion pods," collaborating with data engineers, ML engineers, activation specialists, and client teams to deliver outsized business impact.
- Rapid Prototyping: Design and build full-stack, MVP-grade prototypes for AI-native applications, agents, and workflows that can be validated quickly with end users.
Requirements
- You must be equally comfortable whiteboarding with executives about KPIs and ROI, sitting side-by-side with frontline operators to understand real-world constraints, and diving deep into code to ship features quickly.
- You are obsessed with business outcomes, not just technology.
- You think in terms of KPIs, ROI, and time-to-value, and you can sit across from a VP, GM, or CTO to recommend architectures, workflows, and tools that directly tie to their goals.
- You are a builder.
- You have strong business curiosity.
- You have empathy to sit with business users, observe how they actually work, and listen carefully to their pain points.
- You are comfortable working in ambiguity.
- You have shipped production-grade applications that connect powerful data and AI back ends with intuitive front-end experiences (web apps, internal tools, or operational interfaces).
- Technologies (experience with several of the following, and the ability to learn others quickly):
- experience with modern data and AI platforms and APIs.
Nice to have
- 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
- Recognized as an award-winning workplace in the US, India and LATAM
- Cloud orchestration tools, CI/CD pipelines, and AI-native workflow systems
- familiarity with tools like Microsoft Copilot or similar is a plus.
- BA/BS in computer science, engineering, mathematics, operations, or related fields preferred.
- Equivalent practical experience considered.
- Travel up to 50% (client-dependent).
Skills
- Frontend: Streamlit, Gradio, React, or similar.
- Databases and Storage: Postgres, cloud-native warehouses, Vector DBs, Graph DBs.
- Platforms: Snowflake and major cloud providers (AWS, Azure, GCP); experience with modern data and AI platforms and APIs.
- Agentic AI
- BA/BS in computer science, engineering, mathematics, operations, or related fields preferred. Equivalent practical experience considered.
- Prior consulting, customer-embedded engineering, or product engineering experience in data/AI-heavy environments strongly preferred.
- phData celebrates diversity and is committed to creating an inclusive environment for all employees.
This listing is sourced directly from phData's careers page and normalized into a canonical job model.