Improveit Solutions

About the role

We are looking for a Senior Full-Stack AI Engineer to join a healthcare technology project and become the technical anchor of a small, three-person engineering team.

You will take ownership of both the AI agent architecture and the full-stack application, working closely with two other engineers. This is a hands-on senior role combining backend development, AI orchestration, system architecture, and frontend engineering.

The project focuses on building AI-powered clinical workflow automation tools that help healthcare professionals process information and prepare clinical documentation while keeping all critical decisions under human control.

What you'll do

• Design and build production-ready AI agent pipelines, including intake triage, chart retrieval, cross-referencing, flag detection, protocol matching, and preparation assembly.
• Develop and maintain AI orchestration across models such as Anthropic and OpenAI, optimizing token usage, cost, and latency.
• Build and integrate MCP (Model Context Protocol) servers and tool interfaces, ensuring secure and scope-limited access to healthcare data.
• Implement robust guardrails and human-in-the-loop review workflows. All patient-facing information and chart updates must go through the appropriate clinical approval process.
• Develop the clinician-facing application using React and TypeScript, including nurse workspaces, protocol libraries, and physician summary views.
• Build and maintain backend services using Python and FastAPI.
• Integrate with healthcare systems and EMR vendor APIs for chart retrieval and draft-only document filing.
• Establish monitoring, logging, evaluation, and testing practices for AI agents and application workflows.
• Provide technical guidance and coordinate implementation across a team of three engineers.

Requirements

• 5+ years of commercial full-stack engineering experience.
• Strong hands-on experience with Python and FastAPI.
• Solid production experience with React and TypeScript.
• Proven experience building and deploying AI agentic systems in production, including:
  • Tool use and function calling.
  • Multi-step agent workflows and pipelines.
  • Guardrails, validation, and fail-closed mechanisms.
  • LangChain, LangGraph, or equivalent frameworks.
• Practical experience building or integrating MCP servers and designing secure tool interfaces.
• Experience delivering software under HIPAA or equivalent healthcare data privacy and security requirements.
• Understanding of least-privilege access, audit logging, data protection, and secure system design.
• Experience with multi-model orchestration, including routing tasks between different LLM providers based on cost, latency, and capabilities.
• Strong architectural thinking and the ability to make technical decisions independently.
• Upper-Intermediate or higher English communication skills.

Will be a plus

• Experience with speech-to-text systems and transcript-processing pipelines.
• Production integrations with EMR systems, FHIR, or other healthcare APIs.
• Experience with local model serving, such as vLLM or Ollama.
• Familiarity with AI evaluation and monitoring tools such as LangSmith, promptfoo, or custom evaluation frameworks.
• Experience building clinical workflow automation or EMR-adjacent products.
• Understanding of clinical workflows and the importance of keeping AI-generated outputs subject to physician review.

We are partnering with an AI-focused technology company that builds intelligent automation solutions for businesses, including AI-powered workflows and agent-based systems. The team works on practical AI applications designed to streamline complex processes and improve operational efficiency.

About the role

We are looking for a Middle-level Engineer to join a team developing AI-powered solutions and automation workflows for healthcare-related products. You will work under the guidance of the existing technical team, contributing to implementation, integrations, and product development.

Requirements

• 2+ years of relevant software development experience.
• Hands-on experience working on healthcare or HealthTech projects.
• Knowledge of HIPAA and SOC 2 requirements, with experience handling sensitive personal and healthcare data.
• Familiarity with LangChain or comparable AI development frameworks and platforms.
• Experience with one or more of the following technologies: Python, TypeScript, Java, React.
• Understanding of AI integrations, automation workflows, or LLM-powered applications.
• For Front-End Engineers: experience building enterprise dashboards and a solid understanding of UI/UX principles.
• Ability to work collaboratively and deliver production-ready code.
• Upper-Intermediate English or higher.
• Availability to overlap with US business hours for team syncs and meetings.

Nice to have

• Experience with agentic workflows, AI agents, or multi-step automation.
• Familiarity with voice AI solutions, LLM performance optimization, or token optimization.
• Experience implementing security, privacy, or compliance-related features in healthcare applications.

Work setup and availability

• 100% remote.
• Full-time engagement.
• Expected start date: early November 2026.
• Regular overlap with US business hours for team syncs and meetings.
• Opportunity to work on practical AI-driven products alongside an experienced technical team.

We are looking for a Full Stack Engineer to join enterprise AI projects focused on intelligent automation, AI integrations, and modern internal platforms.
You’ll work on scalable web applications powered by Python, React, cloud technologies, and LLM-based features.

Requirements

• Strong experience with Python
• Experience with FastAPI or similar backend frameworks
• Commercial experience with React.js
• Experience building REST APIs and full stack applications
• Familiarity with cloud platforms (preferably Azure)
• Understanding of scalable architectures and software engineering best practices

Nice to Have

• Experience with AI/LLM integrations
• Familiarity with LangChain, LangGraph, or AI agent frameworks
• Experience with Azure OpenAI or similar AI services
• TypeScript, Docker, CI/CD experience
• Experience with async processing, queues, or event-driven systems

Responsibilities

• Develop and maintain full stack applications
• Build backend services and frontend interfaces
• Integrate AI capabilities into enterprise products
• Collaborate with engineering and product teams
• Contribute to architecture, deployment, and performance improvements

We are looking for a DevOps / Platform Engineer to join a large-scale enterprise technology team.

You will work on cloud infrastructure, CI/CD, Kubernetes platforms and DevSecOps, helping build secure, scalable and automated systems.

Responsibilities

• Build and operate cloud infrastructure (Azure / GCP / AWS)
• Develop and maintain CI/CD pipelines
• Manage Kubernetes, Docker, Helm environments
• Implement Infrastructure as Code (Terraform)
• Work with GitOps (ArgoCD / Flux)
• Automate infrastructure using Python / Bash / Go
• Improve monitoring, logging and alerting
• Support DevSecOps (scanning, secrets, security controls)
• Ensure reliability, performance and incident support
• Contribute to platform engineering and automation initiatives

Requirements

• 3+ years in DevOps / SRE / Platform Engineering
• Strong experience with cloud (Azure / GCP / AWS)
• Hands-on with Kubernetes + Docker
• Strong Terraform / IaC experience
• Experience with CI/CD and GitOps
• Good Linux + networking knowledge
• Scripting skills (Python / Bash / Go)
• Experience with DevSecOps practices
• Experience with monitoring & observability
• Experience with AI-assisted tools (Cursor / Copilot / Claude Code)

We’re looking for a Data Engineer (3+ years of experience) to join a project for a client in the energy industry.

What you’ll do

• Design, develop, and improve data pipelines within an Azure Data Platform
• Integrate new data sources into existing Data Lake and analytics environments
• Work with Azure Databricks and build scalable data solutions
• Develop and improve KPI and reporting solutions
• Consolidate and transform data from multiple sources
• Contribute to data modeling, data preparation, and optimization of existing data structures
• Support the development of new KPI dashboards
• Build and deploy solutions following CI/CD practices
• Collaborate closely with Data Analysts, Business Stakeholders, and Product Owners

What we’re looking for

• 3+ years of experience in Data Engineering
• Strong hands-on experience with Microsoft Azure
• Strong expertise in Databricks / Azure Databricks
• Experience building and operating Data Lakes
• Good understanding of CI/CD for data environments
• Experience working with enterprise-scale data platforms
• Strong English communication skills
• Independent, pragmatic, and result-oriented approach

Nice to have

• Experience with AWS data services
• Background in KPI, reporting, or analytics projects
• Experience in the energy or utilities sector

ImproveIT Solutions is looking for Senior Kubernetes Platform Engineers (m/f/d) to support the evolution and scaling of a large-scale Kubernetes platform environment.

The project focuses on scaling Kubernetes clusters, building and configuring new cluster environments, developing Kubernetes Operators, and driving platform automation using modern cloud-native technologies.

The current platform is based on Gardener, although prior Gardener experience is not mandatory.

Responsibilities

• Scale, enhance, and optimize existing Kubernetes cluster environments
• Design, build, and configure new Kubernetes clusters
• Develop and maintain Kubernetes Operators and Custom Controllers using Go and Kubebuilder
• Implement and improve platform automation capabilities
• Automate infrastructure and platform lifecycle processes
• Apply GitOps principles for deployment, configuration management, and operational consistency
• Design and implement GitOps workflows using FluxCD
• Work with Crossplane for infrastructure and platform automation
• Perform testing, validation, and reliability improvements across the Kubernetes platform
• Contribute to the continuous evolution of cloud-native platform engineering practices
• Collaborate with an international, English-speaking engineering team

Requirements

• Strong hands-on experience with Kubernetes in enterprise-scale environments
• Experience operating and scaling large Kubernetes cluster landscapes
• Strong proficiency in Go (Golang)
• Hands-on experience with Kubebuilder
• Proven experience developing Kubernetes Operators and Custom Controllers
• Strong understanding of GitOps methodologies
• Hands-on experience with FluxCD
• Experience with Crossplane
• Strong background in Platform Engineering and Platform Automation
• Fluent English communication skills

Nice to Have

• Experience with Gardener
• Experience with SAP Business Technology Platform (SAP BTP)
• Public cloud experience with AWS, Azure, or GCP
• Experience working with large-scale cloud-native platforms
• Background in international Platform Engineering or SRE environments

Project Details

Start: ASAP
Duration: Until the end of 2026, with strong potential for extension
Capacity: 100%
Location: Remote within Europe
Working Hours: German business hours
Project Language: English