We are looking for an experienced Cloud & Network Engineer/Architect to support the design, setup, and operationalization of the cloud and network infrastructure required for a production-grade AI Voicebot solution built on Microsoft Azure.

The consultant will work closely with AI engineers, platform teams, security specialists, and enterprise architects to establish a secure, scalable, and resilient foundation for real-time voice and generative AI services.

Key responsibilities

• Design and implement the cloud architecture required to support AI and voice services on Azure.
• Configure network connectivity between Azure services, enterprise systems, APIs, and customer-facing channels.
• Set up and manage Private Endpoints, Private Link, VNET integration, DNS configuration, and secure service-to-service communication.
• Design secure connectivity patterns for Azure OpenAI, Azure AI Search, Speech Services, Microsoft Foundry, and related Azure services.
• Configure load balancing, traffic routing, API exposure, and networking components supporting real-time voice communication.
• Support implementation of WebSocket-based and low-latency communication patterns required for voice interactions.
• Establish monitoring, logging, alerting, and observability capabilities across the platform.
• Ensure platform resilience, scalability, high availability, and disaster recovery considerations are addressed.
• Collaborate with security and risk teams to ensure compliance with enterprise and regulatory requirements.
• Troubleshoot networking, connectivity, performance, and infrastructure-related issues during implementation and production rollout.

Required experience

• Strong hands-on experience designing and deploying enterprise solutions on Microsoft Azure.
• Deep expertise in Azure networking, including VNETs, NSGs, Private Link, ExpressRoute, VPN connectivity, DNS, and firewall configurations.
• Experience implementing secure cloud architectures for customer-facing applications and APIs.
• Experience supporting AI and data platforms within Azure environments.
• Strong understanding of network security, identity management, authentication, and authorization patterns.
• Experience with Azure Monitor, Application Insights, Log Analytics, and operational monitoring frameworks.
• Experience with Infrastructure as Code (Terraform, Bicep, or ARM templates).
• Proven ability to troubleshoot complex networking and cloud infrastructure challenges.

Preferred experience

• Experience supporting real-time communication platforms, voice applications, telephony integrations, or contact center technologies.
• Familiarity with WebSocket architectures, streaming APIs, and low-latency application design.
• Experience with Azure OpenAI, Azure AI Search, Speech Services, and Microsoft Foundry environments.
• Experience working within regulated industries such as banking, insurance, or financial services.
• Knowledge of enterprise security frameworks, zero-trust principles, and cloud governance practices.
• Experience supporting GenAI and agent-based AI platforms in production.

Expected outcome

The consultant will establish a secure, scalable, and enterprise-ready cloud and network foundation that enables the deployment and operation of a voice-enabled AI Assistant. This includes ensuring reliable connectivity between Microsoft Foundry, Voice Live API, Azure AI services, internal systems, and customer channels while meeting performance, security, and compliance requirements.

We are looking for an experienced consultant to support the setup, configuration, and operationalization of a voice-based AI assistant built on the Microsoft AI ecosystem.

The consultant will work closely with our internal AI engineering and product teams to establish a scalable and production-ready architecture leveraging Microsoft Foundry and related Azure AI services.

Key responsibilities:

• Configure and deploy solutions using Microsoft Foundry and Azure AI services.
• Design and implement voicebot capabilities utilizing Voice Live API and real-time speech technologies.
• Set up and configure Azure AI Search, including indexing, retrieval strategies, grounding, and integration with enterprise knowledge sources.
• Configure and optimize supporting services such as Azure OpenAI, Speech Services, content safety, monitoring, logging, and orchestration components.
• Implement best practices for authentication, security, networking, and compliance within an enterprise banking environment.
• Support integration with backend APIs, business services, and customer-facing channels.
• Advise on architecture decisions, scalability, performance optimization, and operational readiness.
• Assist with troubleshooting, testing, and production hardening of voice and conversational AI solutions.
• Collaborate with internal engineers to upskill the team and ensure long-term maintainability.

Required experience:

• Hands-on experience implementing conversational AI solutions on Microsoft Azure.
• Strong experience with Microsoft Foundry and Azure AI services.
• Proven experience configuring and deploying Voice Live API or similar real-time voice AI solutions.
• Deep knowledge of Azure AI Search, Retrieval-Augmented Generation (RAG), indexing strategies, and search optimization.
• Experience with Azure OpenAI, prompt orchestration, grounding, and agent-based AI solutions.
• Knowledge of speech recognition, text-to-speech, real-time audio streaming, and voicebot architecture.
• Experience integrating AI solutions with enterprise systems and APIs.
• Strong understanding of cloud architecture, security, identity management, and operational best practices.

Preferred experience:

• Experience implementing AI assistants within regulated industries such as banking or financial services.
• Familiarity with compliance, risk, and governance requirements related to AI solutions.
• Experience with agent-to-agent orchestration, multi-agent architectures, and enterprise knowledge retrieval patterns.
• Knowledge of monitoring, observability, and evaluation frameworks for generative AI solutions.

Expected outcome:

The consultant will help establish a production-ready foundation for a voice-enabled AI Assistant, including configuration of Microsoft Foundry, Voice Live API, Azure AI Search, and related Azure AI services, while ensuring the solution is scalable, secure, maintainable, and aligned with enterprise standards

We are looking for a Backend Engineer with strong Golang experience to support the development and migration of a fast-growing SaaS product in the marketplace sector. The role involves contributing to scalable backend services in a flexible, collaborative setup. Occasional on-site work in Vilnius may be expected.

Key Responsibilities:

• Develop and maintain backend services using Golang.
• Support migration activities for a growing SaaS product.
• Collaborate with cross-functional teams to ensure scalable and reliable backend delivery.
• Participate in technical and culture-fit interviews as part of the selection process.

Must-Have Requirements:

• Strong hands-on experience with Golang backend development.
• Experience working on SaaS products or scalable backend systems.
• Ability to work flexibly in a changing project environment.
• Lithuanian language skills and availability for occasional office work in Vilnius.

Computer Engineering graduate and current M.Sc. in Artificial Intelligence student at Vilnius Tech, based locally in Vilnius.

I bring hands-on development experience across both game development and web systems:

• Solo-shipped Dropcore on Steam: Architected and developed a 2D multiplayer arena shooter in Unity and C#, implementing real-time networking (Photon PUN 2), synchronization, lag compensation, and Steamworks SDK.
• Web & Backend: Practical experience with ASP.NET Core, React, and REST APIs during my software engineering internship.
• Work Status: Authorized to work full-time (up to 40h/week) in Lithuania and readily available for B2B contracts (Individuali Veikla) or employment.

Seeking roles as a Junior Software Engineer, .NET Developer, or Unity/Game Developer. Passionate about clean code, performance optimization, and solving challenging engineering problems.

I’m really passionate about the tech world, and I take a lot of pride in working hard and pushing through challenges. Motivated to learn and master new technologies.

Team,

I hope you're doing well.

I wanted to introduce myself. I am currently based in Germany and have over 7 years of experience in Cloud Engineering, DevOps, Site Reliability Engineering (SRE), and Infrastructure Automation.and Gen Ai and Agentic Ai ,Ai in development and Testing

My technical expertise includes Azure, AWS, Kubernetes, Docker, Terraform, CI/CD, Infrastructure as Code, monitoring, and building scalable cloud platforms.

In addition, I am a Certified Generative AI Software Professional with hands-on experience in LLMs, RAG, Prompt Engineering, Cursor AI, CrewAI, AI-assisted development, no-code AI automation, and AI-driven software development and testing.

I am currently seeking opportunities as an AI Platform Engineer, DevOps Engineer, Site Reliability Engineer, MLOps Engineer, or Cloud Engineer.