Junior Data Scientist (GenAI)

Straive; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Straive is seeking a hands-on FDE to rapidly prototype, build, and deploy agentic AI workflows and full-stack integrations directly into client environments. The role blends software development, technical architecture, and strategic communication to deliver production-ready AI solutions tailored to each client.

You will lead discovery sessions, map technical requirements, and design integration strategies while connecting LLM pipelines to legacy systems and APIs.

Responsibilities

• Architect, build, and deploy production-ready AI solutions, custom agentic workflows, Claude skills/tools, and modern full-stack integrations tailored to client needs.
• Rapidly turn ambiguous, raw client requirements into working proofs-of-concept (PoCs) and transition them into scalable, production-grade codebases.
• Lead client-facing discovery sessions to map out technical requirements, evaluate customer system landscapes, and design integration strategies.
• Connect modern LLMs and custom AI pipelines with legacy customer databases, APIs, and enterprise software systems.
• Act as the technical point of contact, presenting solutions, demonstrating product capability, and communicating technical trade-offs to both engineering teams and executive stakeholders.

Job description

As an FDE, you will rapidly prototype, build, and deploy custom agentic workflows, RAG systems, and integrations directly into client environments. You are equal parts hands-on developer, technical architect, and strategic communicator.

Key Responsibilities

• Technical Solution Delivery: Architect, build, and deploy production-ready AI solutions, custom agentic workflows, Claude skills/tools, and modern full-stack integrations tailored to client needs.
• Rapid Prototyping: Rapidly turn ambiguous, raw client requirements into working proof-of-concepts (PoCs) and transition them into scalable, production-grade codebases.
• Technical Discovery & Architecture: Lead client-facing discovery sessions to map out technical requirements, evaluate customer system landscapes, and design integration strategies.
• Full-Stack & API Integration: Connect modern Large Language Models (LLMs) and custom AI pipelines with legacy customer databases, APIs, and enterprise software systems.
• Stakeholder Engagement: Act as the technical point of contact, presenting solutions, demonstrating product capability, and communicating technical trade-offs to both engineering teams and executive stakeholders.