Senior Software Engineer - AI Agents

• Indefinite contract.

• Equal pay guaranteed.

• Variable performance bonus.

• Signing bonus.

• We offer work visa sponsorship (If applicable).

• Relocation package (if applicable).

• Private health insurance.

• Flexible remuneration: hospitality and public transportation.

• Eligibility for educational budget according to internal policy.

• Hybrid opportunity.

• Flexible working hours.

• Language classes and discounted lunch options

• Working in a high paced environment, working on cutting-edge technologies.

• Career plan. Opportunity to learn and teach.

• Progressive Company. Happy people culture.

Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

• CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems - such as language models - to make them significantly more efficient and portable.

• Singularity is a quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

We are looking for a Senior Software Engineer with a strong background in backend systems and hands-on experience building AI agents and LLM-powered applications.

In this role, you will own the design and implementation of production-grade agentic systems, including orchestration, tool integration, retrieval, memory, evaluation, observability, and deployment. You will work across customer projects and product initiatives, collaborating with software, ML, data, and product teams to turn complex requirements into reliable systems.

This is a hands-on engineering role for someone comfortable moving from ambiguous requirements and early prototypes to maintainable systems running in production. Where appropriate, you will also help turn successful project patterns into reusable components and capabilities that can be applied across different use cases.

As a Software Engineer for Agent Orchestration, you will:

• Own the technical design and implementation of AI agent systems, from initial architecture and prototyping through deployment, evaluation, and production operation.

• Build robust backend services, APIs, adapters, and connectors that integrate language models, enterprise data, external tools, and customer systems.

• Design agent workflows involving tool use, routing, state management, memory, retrieval, human-in-the-loop steps, and controlled multi-step execution.

• Develop retrieval and knowledge-grounding capabilities, including RAG pipelines, SQL-based agents, web search, reranking, citation, and context management.

• Define and implement evaluation strategies using representative datasets, golden tests, failure taxonomies, regression testing, human review, and production feedback.

• Build reliable and observable execution flows with appropriate validation, retries, fallbacks, tracing, structured logging, metrics, and alerting.

• Deploy and operate AI systems in cloud and customer environments, working with containerisation, CI/CD, model endpoints, data stores, and production infrastructure.

• Improve latency, scalability, and cost through techniques such as caching, concurrency control, asynchronous execution, streaming, model selection, and efficient context management.

• Implement appropriate security and safety controls, including permissions, input and output validation, sensitive-data handling, auditability, and human approval where required.

• Build reusable components, templates, and reference implementations, and contribute successful patterns from customer projects to shared platforms and product capabilities where appropriate.

• Collaborate closely with customers, ML engineers, data engineers, devops engineers, and other software engineers to clarify requirements, evaluate trade-offs, and deliver useful outcomes.

• Contribute to technical direction through design documents, code reviews, engineering standards, and mentoring of other engineers.