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.
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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.
