About Sirma 
Established in 1992, Sirma is one of the leading IT companies in Bulgaria. Since 2015, the company has been listed on the Bulgarian Stock Exchange.
Sirma specializes in software development across multiple industries, including finance, insurance, healthcare, transportation, logistics, hospitality, retail, and e-government. With a team of more than 800+ professionals, the company delivers cutting-edge software solutions tailored to address the specific business needs and challenges of our clients. Our projects range from short engagements to multi-year collaborations on turnkey products.
As we believe that our employees are our greatest asset, we provide them with a collaborative environment and full support for their career and personal growth.

About the role and product
We're seeking an AI / ML Engineer with Domain Expertise to join our core delivery team and help them build Sirma.AI Enterprise. The platform is an advanced enterprise AI platform that enables organizations to build, deploy, and scale intelligent AI Agents, Teams of Agents, and Agentic Workflows. We combine cutting-edge AI innovation with enterprise-grade security and flexible deployment options, delivering both cloud (SaaS) and on-premise solutions that keep organizations in complete control of their data and AI operations.
You'll be responsible for ensuring our AI agents deliver accurate, reliable, and valuable results across multiple industries including finance, hospitality, logistics, retail, healthcare, and insurance. This is a hands-on role where you'll design agent behaviors, optimize performance, implement RAG systems, and ensure AI outputs meet rigorous enterprise standards.

Your responsibilities
• Design and implement AI agents for industry-specific use cases
• Develop advanced prompt strategies and fine-tune agent behavior for accuracy, latency, and cost
• Build multi-agent workflows and RAG architectures
• Create and optimize vector databases, knowledge graphs, and document-processing pipelines
• Integrate data from multiple sources (databases, files, APIs, external systems)
• Evaluate LLM providers, implement model-routing strategies, and configure local/on-prem models
• Build hybrid cloud/local AI architectures with monitoring, testing, and fallback mechanisms
• Establish evaluation metrics, testing frameworks, and A/B experiments
• Monitor production agents and drive continuous improvements
• Ensure output quality, compliance, and alignment with industry regulations
• Translate industry requirements into technical designs and domain-specific datasets
• Adapt and specialize LLMs for business-specific contexts

Role's requirements
• 3+ years of hands-on experience with LLMs and generative AI
• Strong proficiency with OpenAI GPT models, Claude, or Gemini models
• Production experience with RAG architectures, vector databases, and semantic search
• Skilled in prompt engineering, agent optimization, and Python (including ML/AI libraries)
• Experience with LangChain/LlamaIndex, FastAPI, Jupyter, and ML workflow tools (e.g., MLflow, W&B)
• Solid SQL, database design, and ETL/data pipeline knowledge
• Familiarity with document processing/OCR, cloud platforms (AWS/Azure/GCP), and production AI deployments
• Understanding of enterprise security, data privacy, model versioning, and responsible AI practices
• Proactive, self-driven and analytical skills, critical thinking and problem-solving abilities to address data-related challenges
• Bachelor’s degree in Computer Science or a related field
• Excellent verbal and written English

Advantages
• Experience fine-tuning or training custom LLMs
• Knowledge of multi-agent systems, RLHF, and model interpretability
• Familiarity with MCP or similar standards
• Domain expertise in one or more industries: Finance, Healthcare, Insurance, Retail, Logistics
• Experience with speech technologies, real-time AI/WebRTC, graph databases, and distributed/ scalable ML
• Understanding of Kubernetes and containerized ML deployments

What we offer
• Personal career path
• Individual or team professional training
• Flexible working time
• Cooperation with top professionals around the globe
• Regular performance assessment
• Additional health and dental insurance
• Additional paid vacation days for students
• Regular team buildings and office parties
• Private parking zone
• Multisport card
• Game and relax zone

Why Sirma should be your choice
• Knowledge sharing
• Interesting case studies
• Referral bonus scheme
• Working with cutting-edge technologies
• Innovative and dynamic projects
• Sport events
• Charity campaigns
• Fruits at the office
• Opportunity to work from any Sirma office
• Large terrace with great view

Apply now! 
We're looking forward to meeting our next colleague. 

We will contact only the candidates selected for further consideration. Confidentiality is guaranteed. We thank all candidates for applying.