Company

Technology

TechLead/SolutionsArchitect(Python&GenAI,AWS)

$1500–2500k ~AI est. Ukraine FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“TechLead / Solutions Architect (Python & GenAI, AWS). Skills: Python, GenAI, AWS, Solutions Architecture. Write production-grade Python. Implement RAG systems”

Industry & Context.

Technology
Problems you'll solve

Decomposing requirements; Architectural trade-offs

What They're Looking For.

Must Have

7+ years building production systems, Python proficiency, Experience building RESTful APIs, Experience with Docker and Kubernetes, Hands-on experience building LLM applications, Experience with LLM APIs, Experience building RAG systems, Experience deploying AI/ML models, Hands-on experience with AWS, B2+ English

Nice to Have

Experience with Streamlit or Gradio, Modern Python tooling experience, CI/CD pipeline experience, Experience in Go, Node.js, or Rust, Front-end experience, GCP considered, AWS and Claude Code Certifications

What You'll Do.

Write production-grade Python

Implement RAG systems

Design LLM-based solutions

Build LLM-based solutions

Design agentic AI solutions

Build agentic AI solutions

Address client business challenges

Own technical direction

Conduct discovery calls

Write technical proposals

Deliver client-facing demos

Lead architecture reviews

Produce technical design documents

Contribute to standards

Build client relationships

Maintain client relationships

Decompose ambiguous requirements

Produce scoped delivery plans

Produce phased delivery plans

How You'll Work.

Team & Collaboration

Distributed teams; Multicultural teams

Communication Scope

Client-facing demos; Technical proposals; Client-facing

Process & Methodology

Scoping, Phased delivery plans

Full Job Description

## What You’ll Do Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs Implement and optimize RAG systems for production use cases Design and build LLM-based and agentic AI solutions that address real client business challenges Own the technical direction of client engagements from discovery through delivery Support presales: discovery calls, technical proposals, scoping, and client-facing demos Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice Mentor engineers, lead code reviews, and share knowledge across the team Build and maintain strong relationships with key client stakeholders as a trusted technical advisor ## What You’ll Bring Mindset Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure Already using AI tools in your daily workflow (Claude Code, Copilot, or similar) Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you B2+ English, comfortable collaborating across distributed, multicultural teams Presales & Client Engagement Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks Experience with cost estimation and cloud architecture cost optimization Python, AI & Cloud 7+ years building and running production systems not only demos and POCs Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization Experience building RESTful APIs with FastAPI, Django REST, or Flask Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs No

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