Akvelon, Inc

The team is looking for an experienced DevOps Engineer to support and automate hosted-agent environments within a large-scale CI/CD infrastructure. The engineer will improve reliability, performance, and automation for build and deployment systems, working closely with engineering and DevOps teams to maintain infrastructure for continuous delivery pipelines and virtualized environments across multiple operating systems.

Requirements:

• Intermediate English and good communication skills;
• Strong Linux administration and troubleshooting experience;
• Strong debugging and problem-solving skills;
• CI/CD familiarity, preferably with GitHub Actions or Azure Pipelines;

• Knowledge of Bash.

   

Responsibilities:

• Support and automate CI/CD infrastructure for hosted agents across Linux, Windows, and macOS;
• Help maintain and improve pipeline and workflow automation;
• Troubleshoot build, deployment, and infrastructure issues and drive long-term fixes;
• Collaborate with cross-functional teams to improve reliability, scalability, and operational quality;

• Maintain automation scripts and operational documentation for the environment.

   

Nice to Have:

• Windows or macOS administration experience;
• Knowledge of PowerShell;
• Experience with Azure services such as Scale Sets, Key Vault, Service Principals, and Storage;

• Familiarity with Git workflows including branches, forks, and pull requests.

   

Working Conditions:

• Overlap: CET Business Hours;
• Target start date: 2026-03-04.

Locations: Serbia, Poland, Croatia, Portugal.

We are looking for a Junior Software Development Engineer with strong algorithmic and problem-solving foundations to join engineering teams working on real product and platform challenges. This role is aimed at candidates with little to no commercial experience, but with a strong programming olympiad background, solid technical education, and the ability to learn quickly in a professional environment.

Tasks

• Contribute to engineering tasks under mentorship from more senior team members;
• Solve algorithmic and implementation problems across different domains;
• Learn internal tools, codebases, and development processes quickly;
• Deliver clean, maintainable code and improve through feedback and reviews.

Requirements

• Bachelor's or Master's degree in a technical specialization;
• Strong programming olympiad, competitive programming, or similar algorithmic background - must have;
• Willingness to work with AI tools and practices;
• Strong fundamentals in data structures, algorithms, and problem solving;
• Ability to code in at least one programming language, with language choice not being a limiting factor;
• High learning ability and readiness to grow in a professional engineering environment.

Nice to Have:

• Good English;
• Open-source, hackathon, research, or other non-academic technical activity;
• Experience adapting quickly across different programming languages.

Locations: Serbia, Poland, Armenia, Kazakhstan, Georgia.

We are looking for a Legal Support to support legal and administrative operations within the company. The role focuses on working with documents, handling routine administrative requests, maintaining accurate records, and supporting day-to-day legal back office processes. .

Tasks

• Work with legal and administrative documents, including preparation, review, formatting, filing, and organization;
• Support internal administrative requests and help resolve routine operational questions;
• Maintain accurate documentation, records, and internal files;
• Communicate with internal stakeholders regarding document status, required information, and administrative follow-ups;
• Assist with coordination of office-related and legal back office processes;

• Ensure that documentation is handled in a timely, structured, and confidential manner.

   

Requirements

Must have:

• Bachelor’s or Master's Degree;
• Experience or strong ability to work with documentation and administrative tasks;
• Confident user of Microsoft Word and Microsoft Excel;
• Good organizational skills and attention to detail;
• Ability to communicate in English; 

• Readiness to work from the office on a mandatory basis.

   

Nice to have:

• Knowledge of Serbian language;
• Previous experience in a legal, administrative, or back office assistant role;

• Basic understanding of legal documentation workflows.

   

Working conditions:

• Location: Serbia, office-based work;
• Office visits: mandatory, then hybrid is possible.

This engagement is focused on building an internal AI platform that enables developers to ship AI-powered services efficiently. Scope includes model connectivity, prompt testing and evaluation, monitoring/observability, and the underlying AI infrastructure layer.

The objective is to improve DevEx and reduce time-to-market for AI features.

Location: Serbia (relocation support available), Croatia, Poland, Portugal

Tasks:

• Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster.
• Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads.
• Manage infrastructure as code with Terraform (modules, environments, CI/CD automation).
• Support LLM workflows: RAG, agents, prompt experimentation, evaluations, and deployment patterns.
• Integrate and operate tooling such as Azure AI Foundry, LiteLLM, Langfuse, MLflow.
• Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build, deploy, evaluate).
• Improve platform reliability and observability (monitoring, logging, tracing, cost/perf signals).
• Collaborate closely with developers to streamline DX (APIs, templates, docs, golden paths, automation).

Requirements:

• Strong hands-on experience with Kubernetes in production (preferably AKS).
• Solid Terraform expertise (IaC best practices, multi-env setups).
• Practical experience supporting ML/LLM workloads in a platform or DevOps/MLOps context.
• Proficiency in Python for automation, scripting, and supporting APIs/evaluation tooling.
• Understanding of CI/CD, release processes, and production-grade operations.
• Ability to work under tight timelines and deliver pragmatically.

Nice to Have

• Experience building internal developer platforms or “paved roads” for engineering teams.
• Familiarity with LLM evaluation frameworks, prompt testing workflows, and LLM observability.
• Exposure to RAG architectures, vector databases, and agentic patterns.
• Experience with Kubeflow, Argo, and ML lifecycle tooling.

Engagement Type

• Long-term B2B contract.

Team

• You will join a team of 5, with 3 AI Platform Engineers being added.

Location / Timezone

• Remote work from Croatia, Poland, Portugal, and Serbia.
• European working hours.
• Occasionally available for meetings up to 10:00 AM PST (US overlap).

This engagement is focused on building an internal AI platform that enables developers to ship AI-powered services efficiently. Scope includes model connectivity, prompt testing and evaluation, monitoring/observability, and the underlying AI infrastructure layer.

The objective is to improve DevEx and reduce time-to-market for AI features.

Location: Serbia (relocation support available), Croatia, Poland, Portugal

Tasks:

• Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster.
• Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads.
• Manage infrastructure as code with Terraform (modules, environments, CI/CD automation).
• Support LLM workflows: RAG, agents, prompt experimentation, evaluations, and deployment patterns.
• Integrate and operate tooling such as Azure AI Foundry, LiteLLM, Langfuse, MLflow.
• Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build, deploy, evaluate).
• Improve platform reliability and observability (monitoring, logging, tracing, cost/perf signals).
• Collaborate closely with developers to streamline DX (APIs, templates, docs, golden paths, automation).

Requirements:

• Strong hands-on experience with Kubernetes in production (preferably AKS).
• Solid Terraform expertise (IaC best practices, multi-env setups).
• Practical experience supporting ML/LLM workloads in a platform or DevOps/MLOps context.
• Proficiency in Python for automation, scripting, and supporting APIs/evaluation tooling.
• Understanding of CI/CD, release processes, and production-grade operations.
• Ability to work under tight timelines and deliver pragmatically.

Nice to Have

• Experience building internal developer platforms or “paved roads” for engineering teams.
• Familiarity with LLM evaluation frameworks, prompt testing workflows, and LLM observability.
• Exposure to RAG architectures, vector databases, and agentic patterns.
• Experience with Kubeflow, Argo, and ML lifecycle tooling.

Engagement Type

• Long-term B2B contract.

Team

• You will join a team of 5, with 3 AI Platform Engineers being added.

Location / Timezone

• Remote work from Croatia, Poland, Portugal, and Serbia.
• European working hours.
• Occasionally available for meetings up to 10:00 AM PST (US overlap).

We are looking for an AI Engineer to join a product engineering team focused on introducing LLM-based capabilities into enterprise software and building systems such as MCP servers and agents. The role involves working on AI-driven product features, backend services, and integrations that connect models with tools and data in a scalable production environment.

Location: Serbia (relocation support available), Croatia, Poland, Portugal

Tasks:

• Design and develop AI-powered product features with a focus on LLM-based capabilities;
• Build and maintain MCP servers and agent-based components;
• Develop enterprise-grade web services and backend integrations;
• Work with tools, data sources, and model interfaces across cloud environments;
• Collaborate with engineering teams to deliver production-ready AI solutions.

Requirements:

CORE

• AI Engineer profile with strong SDE background;
• Proficiency in C# or Python;
• Knowledge of Model Context Protocol (MCP) for connecting tools and data into models;
• Experience in developing enterprise-grade web services;
• Experience working with cloud platforms such as Azure, AWS, or GCP.

Nice to have

• Hands-on experience with LLM and RAG engineering, including retrieval design, chunking, vector stores, and structured outputs, using tools such as OpenAI, LangChain, or LlamaIndex;
• Experience in building and orchestrating agentic systems that call tools and reason over retrieved context, using frameworks such as LangGraph or AutoGen, and OpenAI tool calling or the Responses API;
• Familiarity with LLM evaluation and observability tools such as LangSmith or Langfuse;
• Experience with guardrails and security measures such as prompt injection defense and output validation.

We are looking for a Senior or Lead Software Development Engineer to join a cloud data platform initiative focused on managed Kafka connectors. The role centers on accelerating onboarding of first-party connectors, improving reliability and launch readiness, and helping expand a managed connector ecosystem used in data-intensive cloud services.

Tasks

• Accelerate onboarding of new first-party managed Kafka connectors;
• Improve connector quality, reliability, and operational readiness;
• Integrate authentication and platform-specific cloud requirements;
• Translate connector behavior into implementation details, UI specs, and documentation inputs;
• Support launch gates such as probers, load testing, playbooks, and launch reviews.

Responsibilities

• Strong Java experience, as the core workers and connectors are implemented in Java;
• Practical Go experience for API-facing changes and service integration work;
• Practical experience with GCP cloud;
• Experience integrating, debugging, and improving connector-based or data integration systems;
• Ability to work across performance, stability, authentication, and network-compatibility concerns;

• Strong engineering ownership across delivery, launch readiness, and operational quality.

   

Nice to Have:

• Experience with Kafka Connect ecosystems;
• Experience with CDC-oriented connectors or sink/source integrations;

• Exposure to cloud data systems such as BigQuery, Spanner, Bigtable, Iceberg, or Debezium-based workflows.

   

Engagement Type

• B2B contract.

   

Location / Timezone

• Priority location is Krakow, Poland;
• On-site presence at the Akvelon office

We are looking for a Senior or Lead Software Development Engineer to join a cloud data platform initiative focused on managed Kafka connectors. The role centers on accelerating onboarding of first-party connectors, improving reliability and launch readiness, and helping expand a managed connector ecosystem used in data-intensive cloud services.

Tasks

• Accelerate onboarding of new first-party managed Kafka connectors;
• Improve connector quality, reliability, and operational readiness;
• Integrate authentication and platform-specific cloud requirements;
• Translate connector behavior into implementation details, UI specs, and documentation inputs;
• Support launch gates such as probers, load testing, playbooks, and launch reviews.

Responsibilities

• Strong Java experience, as the core workers and connectors are implemented in Java;
• Practical Go experience for API-facing changes and service integration work;
• Practical experience with GCP cloud;
• Experience integrating, debugging, and improving connector-based or data integration systems;
• Ability to work across performance, stability, authentication, and network-compatibility concerns;

• Strong engineering ownership across delivery, launch readiness, and operational quality.

   

Nice to Have:

• Experience with Kafka Connect ecosystems;
• Experience with CDC-oriented connectors or sink/source integrations;

• Exposure to cloud data systems such as BigQuery, Spanner, Bigtable, Iceberg, or Debezium-based workflows.

   

Engagement Type

• B2B contract.

   

Location / Timezone

• Priority location is Krakow, Poland;
• On-site presence at the Akvelon office

We are looking for a Senior or Lead Software Development Engineer to join a cloud data platform initiative focused on managed Kafka connectors. The role centers on accelerating onboarding of first-party connectors, improving reliability and launch readiness, and helping expand a managed connector ecosystem used in data-intensive cloud services.

Tasks

• Accelerate onboarding of new first-party managed Kafka connectors;
• Improve connector quality, reliability, and operational readiness;
• Integrate authentication and platform-specific cloud requirements;
• Translate connector behavior into implementation details, UI specs, and documentation inputs;
• Support launch gates such as probers, load testing, playbooks, and launch reviews.

Responsibilities

• Strong Java experience, as the core workers and connectors are implemented in Java;
• Practical Go experience for API-facing changes and service integration work;
• Practical experience with GCP cloud;
• Experience integrating, debugging, and improving connector-based or data integration systems;
• Ability to work across performance, stability, authentication, and network-compatibility concerns;

• Strong engineering ownership across delivery, launch readiness, and operational quality.

   

Nice to Have:

• Experience with Kafka Connect ecosystems;
• Experience with CDC-oriented connectors or sink/source integrations;

• Exposure to cloud data systems such as BigQuery, Spanner, Bigtable, Iceberg, or Debezium-based workflows.

   

Engagement Type

• B2B contract.

   

Location / Timezone

• Priority location is Krakow, Poland;
• On-site presence at the Akvelon office

We are looking for a Senior or Lead Software Development Engineer to join a cloud data platform initiative focused on managed Kafka connectors. The role centers on accelerating onboarding of first-party connectors, improving reliability and launch readiness, and helping expand a managed connector ecosystem used in data-intensive cloud services.

Tasks

• Accelerate onboarding of new first-party managed Kafka connectors;
• Improve connector quality, reliability, and operational readiness;
• Integrate authentication and platform-specific cloud requirements;
• Translate connector behavior into implementation details, UI specs, and documentation inputs;
• Support launch gates such as probers, load testing, playbooks, and launch reviews.

Responsibilities

• Strong Java experience, as the core workers and connectors are implemented in Java;
• Practical Go experience for API-facing changes and service integration work;
• Practical experience with GCP cloud;
• Experience integrating, debugging, and improving connector-based or data integration systems;
• Ability to work across performance, stability, authentication, and network-compatibility concerns;

• Strong engineering ownership across delivery, launch readiness, and operational quality.

   

Nice to Have:

• Experience with Kafka Connect ecosystems;
• Experience with CDC-oriented connectors or sink/source integrations;

• Exposure to cloud data systems such as BigQuery, Spanner, Bigtable, Iceberg, or Debezium-based workflows.

   

Engagement Type

• B2B contract or Business Incubator 

   

Location / Timezone

• Priority location is Krakow, Poland;
• On-site presence at the Akvelon office