Principal Forward Deployed Engineer (Relocation to Bulgaria)

We are looking for a Principal Forward Deployed Engineer to join our team with eventual relocation to Bulgaria. The company is renowned for delivering cutting-edge technological solutions to transform businesses worldwide. We are building AI-native solutions for our clients—products where LLM and its harness are core to the value. This is a builder's role: you and your team will be responsible for building agentic systems, writing production code, and establishing evaluations and observability. Your close collaboration with subject matter experts and end-users will be essential to understanding where real value lies and designing effective feedback loops.

Responsibilities:

• Design, build, and ship end-to-end AI-native systems including agents, workflows, retrieval-augmented generation (RAG), and integration harnesses.
• Write production-grade Python code for integrations, APIs, data access, and deployment.
• Work directly with subject matter experts and end-users through interviews, user acceptance testing, and workflow observations.
• Engage early in projects to shape use cases and determine technical feasibility.
• Build evaluation pipelines and use them to demonstrate system utility.
• Design for failure in the agent loop by implementing retries, model fallbacks, cost limits, and human-in-the-loop actions.
• Collaborate with the team to troubleshoot and resolve technical challenges while adhering to engineering excellence standards, including test-driven development and continuous integration practices.

Requirements:

• 7+ years of software engineering experience with a strong track record in building production AI and LLM applications.
• Expert-level Python skills and solid software engineering fundamentals.
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, or Semantic Kernel, and major LLM providers.
• Strong RAG and retrieval skills, including vector databases, embeddings, hybrid search, and context management.
• Production deployment experience on major cloud platforms like AWS, Azure, or GCP with containerization and CI/CD.
• Proven experience evaluating generative AI quality using custom evaluation frameworks and observability tools.
• Strong capability to work closely with clients, lead discovery conversations, and explain technical trade-offs to diverse audiences.
• Strong agent-design judgment and sound engineering judgment under ambiguity to balance speed, quality, and scope.
• Language Requirement: C1 level English proficiency.
• An academic degree in Computer Science, Software Engineering, or a related field.

Nice to Have:

• Experience designing experiments, A/B testing, and iterating on AI products based on real user behavior.
• A strong background in NLP, Data Science, or applied machine learning with experience moving models into production.
• Familiarity with Model Context Protocol (MCP), Agent-to-Agent (A2A), Agent Skills, and emerging agent standards.
• Experience with enterprise AI platforms such as AWS Bedrock AgentCore, Databricks Genie, or Microsoft Foundry.
• Exposure to AI governance, security, and compliance, including guardrails and prompt-injection prevention.

We Offer:

• Opportunity to engineer your future and drive the world’s digital transformation with top industry clients.
• Personal development program that values your strengths.
• A wide range of professional training and workshops.
• A collaborative, fast-growing, and innovative design team.
• Established growth paths toward different career roles and competencies.
• Diverse projects with potential mobility between assignments.
• Collaboration in a multicultural environment and exchange of best practices globally.
• Various social benefits, including sports, transportation, and health programs.
• Work-life balance and a flexible schedule, including team-building activities and sports opportunities.
• A modern office/collaboration spaces, including the new Infinity Tower business center in Sofia.
• Hybrid by Design: Enjoy the flexibility of working from the modern the company office for part of the week while maintaining productivity from home.