Senior Software Engineer or Solutions Architect Job at Provectus

Senior Software Engineer or Solutions Architect

Provectus

Location:

Category:
IT - Software Development

Contract Type:
B2B

Salary:

Not provided

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Job Description:

Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Forrester's AI Technical Services Landscape, with 15+ years of experience and 400+ engineers. We build production AI for global enterprises in partnership with Anthropic, Cohere, and AWS. We are looking for a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience. Someone who ships Python services, RAG systems, tools, and agents daily, with AI embedded across their entire workflow. You might be an experienced SA ready to hit the ground running, or a Senior Engineer and Tech Lead ready to step into that role. Either way, you will own the technical vision, lead discovery, drive architecture decisions, and become the authority clients and teams rely on.

Job Responsibility:

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

Requirements:

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
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
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 NoSQL
Strong testing practices: pytest, mocking, and integration tests for AI systems
Experience with Docker and Kubernetes
Hands-on experience building production LLM-based applications and agentic workflows
Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
Experience building and optimizing RAG systems
Understanding of LLM evaluation techniques and quality assurance approaches
Experience deploying and maintaining AI/ML models in production environments
Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar)
GCP considered
Experience with React/Vue
AWS and Claude Code Certifications

Nice to have:

Experience with Streamlit or Gradio for AI prototyping
Modern Python tooling (ruff, uv, pyproject.toml, pyright)
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, Node.js, or Rust)
Front-end experience

What we offer:

Opportunity to work with cutting-edge AI and cloud solutions
Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
Career growth: a clear path toward SA or beyond
we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Remote with flexible hours
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work

Additional Information:

Job Posted:
April 11, 2026

Work Type:

Remote work

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