About the Role:

Provectus is a consulting and professional services firm with a focus on AI/ML based solutions. Provectus is an AWS Premier Partner and an Anthropic partner, helping enterprise clients move from AI experimentation to AI running in production.

We are changing how we deliver. Instead of handing a client a design and waiting for someone else to build it, our engineers embed directly inside the client's team and ship the system themselves. We call this Forward Deployed delivery. Before you design anything, you spend real time with the people who do the work the system is meant to change, so the architecture reflects how the work actually happens, not how a requirements document described it.

We are looking for a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience who wants to work this way: deep in the code, close to the client, and directly accountable for whether the system gets used. Direct client communication sits at the center of this role. Prior presales experience is a strong plus.

What You’ll Do:

Embed with the client team for the length of the engagement, working inside their environment rather than alongside it from a distance

Spend time with the people who do the job the system is meant to change before you design anything, so the architecture is grounded in how the work actually happens

Write clean, production grade Python across AI integrations, backend services, and RESTful APIs (Flask, Django, or FastAPI)

Design, build, and optimize RAG systems and agentic AI solutions running in production, not demos or notebooks

Own system design and architectural decisions across the engagement: microservices vs monolith, sync vs event driven, SQL vs NoSQL

Own the technical direction of the engagement from discovery through delivery

Act as the client's direct technical point of contact: present architecture, defend trade offs, and push back on scope when it does not match timeline or budget

Support presales activities where relevant, including discovery calls, technical proposals, scoping, and client facing demos

Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice

Feed what you learn back into Provectus's blueprint library, so the next engagement starts further ahead

Mentor engineers, lead code reviews, and share knowledge across the team

What You’ll Bring:

7+ years building and running production systems; hands on production experience is required, demo only or POC only backgrounds will not be considered

Production experience with RAG systems and LLM based agentic workflows that are live and running, not prototypes

Backend development experience with Flask, Django REST, or FastAPI

Recent, hands on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered

Experience with LLM APIs (OpenAI, Anthropic Claude, or AWS Bedrock)

Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization

Demonstrated experience making and defending system design and architectural trade off decisions

Comfortable owning direct communication with client stakeholders, without a project manager relaying the conversation

Genuine willingness to spend time close to the people who do the job before you design a system to change it, and comfort with an engagement that starts underspecified by design

Strong testing practices: pytest, mocking, and integration tests for AI systems

Experience with Docker and Kubernetes

Understanding of LLM evaluation techniques and quality assurance approaches

Experience deploying and maintaining AI/ML models in production environments

Already using AI assisted development 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 are handed to you

B2+ English, comfortable collaborating across distributed, multicultural teams

Nice to Have:

Exposure to Financial Services or Healthcare and Life Sciences, our two primary practice verticals

Presales experience: cost estimation, cloud architecture cost optimization, scoped and phased delivery plans

Prior consulting, professional services, or other embedded client facing delivery

Experience with React or Vue

AWS or Claude Code certifications

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)

What We Offer:

• A growing AI delivery practice where you help build the tooling and frameworks, not just use them
• Remote-friendly culture
• High-impact role with direct visibility to leadership
• Strong earning potential with performance-based bonuses
• Opportunity to work with cutting-edge AI and cloud solutions
• B2B contract model or full-time model
• Unlimited Vacation policy
• Generous health, vision, and dental insurance
• 401(K) matching plan