Principal Forward Deployed Engineer

We are looking for a Principal Forward Deployed Engineer to join our team with eventual relocation to Latvia. The company is renowned for delivering cutting-edge technological solutions to transform businesses worldwide. In this role, you will be part of a team focused on building AI-native solutions for our clients, where LLM (Large Language Models) is central to the value provided. This position is a builder's role; you and your team will be responsible for developing agentic systems, writing production code, and establishing evaluations and observability processes. You will collaborate closely with subject matter experts (SMEs) and end-users to identify true value and design effective feedback loops.

Location: Al Khobar, Eastern, Saudi Arabia (with eventual relocation to Latvia)

Work Conditions: Hybrid, Full-time

Responsibilities:

• Design, build, and ship end-to-end AI-native systems, including agents, workflows, RAG (Retrieval-Augmented Generation), and integration harnesses.
• Write production-grade Python code for integrations, APIs, data access, and deployment.
• Work directly with SMEs and end-users through interviews, user acceptance testing, and workflow observations.
• Engage early in projects to shape use cases and assess technical feasibility.
• Build evaluation pipelines to demonstrate system utility.
• Implement designs for failure in agent loops, including retries, model fallbacks, cost limits, and human-in-the-loop actions.
• Capture domain expertise and repeatable workflows to ensure success across engagements while troubleshooting technical challenges in collaboration with the broader team.
• 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 of 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, including containerization and CI/CD.
• Proven experience evaluating generative AI quality using custom evaluation frameworks and observability tools.
• Proven capability to work closely with clients, lead discovery conversations, and explain technical trade-offs to diverse audiences.
• Strong judgment in agent design and sound engineering judgment in ambiguous situations to balance speed, quality, and scope.
• C1 level English language 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.
• Strong background in NLP, Data Science, or applied machine learning with experience deploying models in 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.

Salary Range: €5K-€7K gross, based on experience and interview results.

Benefits:

• Medical insurance.
• Additional vacation and trust days.
• Private health insurance.
• Employee Stock Purchase Plan.
• Opportunities for professional growth and support for career development.
• Innovative projects in AI, cloud, data, and other emerging technologies.
• A flexible hybrid work environment with the option to work from any location in Latvia, either from home or our office in Riga.

Application Deadline: 01.12.2026.