We are looking for a Principal Forward Deployed Engineer to join our team with eventual relocation to Hungary. The company is renowned for delivering cutting-edge technological solutions to transform businesses worldwide. In this role, you will be responsible for building AI-native solutions where LLM and its harness are at the core. This position requires you and your team to design and implement agentic systems, write production code, and establish evaluation and observability processes. Collaboration with subject matter experts and end-users will be key to understanding and designing feedback loops that drive real value.
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Responsibilities:
- Design, build, and ship end-to-end AI-native systems including agents, workflows, RAG, and integration harnesses.
- Write production-grade Python code for integrations, APIs, data access, and deployment.
- Engage with subject matter experts and end-users through interviews, user acceptance testing, and workflow observations.
- Participate early in projects to shape use cases and assess technical feasibility.
- Build evaluation pipelines to prove system utility.
- Design for failure in the agent loop by implementing features such as retries and model fallbacks.
- Capture domain expertise and repeatable workflows to ensure success across engagements, while troubleshooting technical challenges collaboratively.
- Ensure adherence 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 with solid software engineering fundamentals.
- Hands-on experience with agentic frameworks such as LangChain, LangGraph, or Semantic Kernel, and major LLM providers.
- Strong skills in RAG and retrieval, 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 in evaluating generative AI quality using custom evaluation frameworks and observability tools.
- Capability to work closely with clients, lead discovery conversations, and communicate technical trade-offs to diverse audiences.
- Strong judgment in agent design and engineering under uncertainty, balancing speed, quality, and scope.
- C1 level English language proficiency.
- Academic degree in Computer Science, Software Engineering, or a related field.
Nice to Have:
- Experience in designing experiments, A/B testing, and iterating on AI products based on real user behavior.
- 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.
We Offer:
- A dynamic, entrepreneurial corporate environment.
- A diverse multicultural, multi-functional, and multilingual work environment.
- Opportunities for personal and career growth in a progressive industry.
- Global scope with international projects.
- Widespread training and development opportunities.
- Access to various learning solutions.
- Competitive salary and benefits.
- Advanced wellbeing and CSR programs.
