TechBiz Global

Responsibilities

• Refactor a single-agent prototype into a multi-agent architecture (orchestrator + specialized agents).
• Design orchestration logic, agent communication, and state/session management.
• Implement guardrails (prompt-injection protection, output validation).
• Integrate external APIs with resilient error handling.
• Optimize performance and latency (<2–4 seconds).
• Implement monitoring, telemetry, and observability for production systems.
• Collaborate with cross-functional teams to ensure robust API design and integration.

Job requirements

• Strong experience with LLM systems and multi-agent architectures.
• Proficient in Python, including FastAPI, async programming, and Pydantic.
• Experience with function calling and JSON schema outputs.
• Strong API design skills and integration experience.
• Experience in Azure environment: AI Foundry, Key Vault, Managed Identity, monitoring.
• Solid experience in system architecture and production deployment.
• English: conversational; German: A2 comprehension.

Nice to Have:

• MCP certification or relevant Azure certifications.

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Go Engineer to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
 

Responsibilities:

• Design, develop, and maintain high-performance backend services in Golang.
• Build and scale microservices-based architectures.
• Implement event-driven and asynchronous processing systems using messaging technologies.
• Develop and integrate RESTful APIs for internal and external services.
• Work with PostgreSQL and Redis for data storage and caching.
• Deploy and manage services using Docker and Kubernetes.
• Collaborate with engineering teams to build reliable and scalable systems.
• Monitor and optimize system performance using observability and monitoring tools.
• Ensure high availability, scalability, and performance optimization of backend systems.

Job requirements

• 7+ years of experience in backend software development
• Strong programming expertise in Golang
• Experience designing and building microservices architectures
• Hands-on experience with Kafka or other messaging systems
• Strong understanding of asynchronous processing and event-driven architectures
• Experience working with PostgreSQL and Redis
• Production experience with Docker and Kubernetes
• Experience deploying applications on AWS or Azure cloud platforms
• Experience using monitoring and observability tools such as Prometheus, Grafana, or ELK stack
• Strong understanding of high availability, scalability, and performance optimization

• Experience designing and integrating RESTful APIs

  Nice to Have

• Experience working in fintech or payment systems
• Familiarity with KYC or compliance-related workflows

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior AI Engineer to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
 

Responsibilities

• Refactor a single-agent prototype into a multi-agent architecture (orchestrator + specialized agents).
• Design orchestration logic, agent communication, and state/session management.
• Implement guardrails (prompt-injection protection, output validation).
• Integrate external APIs with resilient error handling.
• Optimize performance and latency (<2–4 seconds).
• Implement monitoring, telemetry, and observability for production systems.
• Collaborate with cross-functional teams to ensure robust API design and integration.

Job requirements

• Strong experience with LLM systems and multi-agent architectures.
• Proficient in Python, including FastAPI, async programming, and Pydantic.
• Experience with function calling and JSON schema outputs.
• Strong API design skills and integration experience.
• Experience in Azure environment: AI Foundry, Key Vault, Managed Identity, monitoring.
• Solid experience in system architecture and production deployment.
• English: conversational; German: A2 comprehension.

Nice to Have:

• MCP certification or relevant Azure certifications.

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior ML Engineer to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
 

Responsibilities:

• Build, maintain, and optimize end-to-end MLOps pipelines for machine learning workflows.
• Deploy, monitor, and scale machine learning models in production environments.
• Implement CI/CD pipelines for ML workflows and model lifecycle management.
• Manage and optimize ML infrastructure using Docker, Kubernetes, and cloud platforms.
• Collaborate closely with Data Scientists and Engineering teams to productionize ML models.
• Ensure reliability, monitoring, and performance of ML systems in production.
• Maintain best practices for model versioning, experiment tracking, and reproducibility.

Job requirements

Must-Have:

• Senior-level experience in Machine Learning / MLOps engineering
• Strong programming skills in Python
• Hands-on experience with ML frameworks such as:
  • TensorFlow
  • PyTorch
  • scikit-learn
• Experience with MLOps platforms/tools such as:
  • MLflow
  • Kubeflow
  • TFX or similar
• Experience implementing CI/CD pipelines using tools such as:
  • Jenkins
  • GitLab CI
  • CircleCI
• Strong experience with containerization and orchestration:
  • Docker
  • Kubernetes
• Experience deploying and managing ML solutions on cloud platforms (AWS, GCP, or Azure)
   

Nice to Have:

• Experience with big data technologies such as:
  • Apache Spark
  • Hadoop
  • Kafka
• Experience with data visualization tools:
  • Tableau
  • Power BI