AI Solutions Engineer

Strength. Care. Growth

Did you know that A1 Bulgaria is working on international projects as well?

Our wide portfolio has long past the telecom services, and we are now offering digital solutions to millions of corporate, public, and private customers.

State-of-the-art technology, the latest innovations, and extremely talented professionals in various areas help us deliver the best-in-class products, services, and customer experience.

You’ll know A1 Bulgaria is the right place for you if you are driven by:

• Opportunities to learn and build your career;
• Meaningful work in a stable and fast-paced company;
• Diversity of people, projects, and platforms;
• A supportive, fun, and inspiring place to work.

Would you like to join us?

Georgi Velev is looking for a new team member.

Job Overview:

We are looking for a motivated AI Solutions Engineer to turn business challenges into practical AI solutions. You will work directly with business stakeholders to identify valuable use cases, build solutions hands-on, and take them from initial concept to production. This is a role for someone who combines strong engineering skills with business understanding and takes ownership of the solutions they build - from defining the right problem to measuring the impact after launch.

Your daily routine would include:

• Working directly with business teams to identify, assess, and prioritize AI use cases.
• Defining solution scope together with business stakeholders, balancing business value, technical feasibility, delivery time, and cost.
• Building and deploying LLM-based applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions on the team’s infrastructure.
• Taking use cases from Proof of Concept (PoC) through pilot to production and ensuring they deliver value to real users.
• Monitoring and improving deployed solutions, troubleshooting issues, and taking responsibility for their ongoing performance.
• Developing repeatable evaluation methods to measure AI quality and verify whether changes to prompts, models, or architectures improve results.
• Agreeing on measurable business outcomes with business owners before implementation and tracking the impact after launch.
• Developing reusable components that help accelerate future AI use cases and enable solutions to scale across the organization.
• Collaborating with the team on technology choices, architecture, and engineering standards.
• Selecting the right models and approaches based on quality, cost, latency, and data sensitivity.

We’ll know you can make it if you have:

• Hands-on experience building and deploying LLM-based systems used by real users, including the ability to troubleshoot issues that arise after launch.
• Strong Python skills and experience developing maintainable, production-ready services.
• Experience with an AI agent framework in production. We use LangGraph, but equivalent experience with other frameworks is also relevant.
• Experience developing APIs and services using FastAPI or similar technologies, working with containers, and deploying applications in a production environment.
• Practical knowledge of RAG and the ability to investigate incorrect answers, identify root causes, and demonstrate improvements.
• Experience working with both frontier models from major cloud providers and open-weight models, choosing the right option for each use case.
• Experience evaluating LLM-based systems systematically, using repeatable quality checks rather than relying on demos or subjective impressions.
• Strong analytical and problem-solving skills, with the ability to understand business needs and translate them into workable technical solutions.
• Confidence in communicating directly with non-technical stakeholders, challenging assumptions constructively, and agreeing on realistic scope.
• A proactive and independent approach, combined with strong collaboration skills and a sense of ownership.
• A practical understanding of cost and the ability to deliver effective solutions without unnecessary complexity.
• Fluency in Bulgarian and good working proficiency in English.

Nice to have:

• Experience with Azure and cloud-based AI services.
• Knowledge of Kubernetes and PostgreSQL.
• Experience with Microsoft Copilot Studio or other low-code agent-building platforms.
• Familiarity with Model Context Protocol (MCP) and self-hosted inference.
• Experience with LLM evaluation frameworks and tools.
• Knowledge of telecommunications or experience working in a large enterprise environment.

Our gratitude for the job done will be eternal, but we’ll also offer you:

• Innovative technologies and platforms to “play” with.
• Modern working environment for your comfort.
• Friendly, ambitious, and motivated teammates to support each other.
• Thousands of online and in-person learning opportunities to grow.
• Challenging assignments and career development opportunities in multinational environment.
• Attractive remuneration package.
• Flexible working schedule and opportunity for home office.
• Numerous additional goodies, including, but not limited to free A1 services, discounts, health insurance and services, sports center, childcare, team and family events, etc.

Not sure yet? See us in action in our A1 Blog.

Any questions? Contact Svetlina Vazharova.

Sounds good? Apply now!

Only shortlisted candidates will be contacted.