Senior AI Engineer

We are looking for a Senior AI Engineer who excels at developing custom AI solutions for clients across diverse industries.

Your work will involve designing, implementing, and optimizing chat-based systems, Q&A tools, and agent-driven applications using the latest advances in generative AI. You will partner closely with client teams, guiding them through best practices and helping them leverage state-of-the-art technologies to achieve their goals.

This position offers hybrid setup with the flexibility to work from any location in Latvia, whether it's your home or our office in Riga.

• Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
• Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
• Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models
• Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations
• Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value
• Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes

• Strong proficiency in Python, experience with web frameworks like FastAPI or similar
• Deep understanding of the AI development lifecycle
• NLP expertise (classification, NER, retrieval, summarization, etc)
• Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks
• Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)
• Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
• Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability
• Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
• Proven experience in AI engineering and delivering ML-based solutions
• Strong problem-solving skills and attention to detail
• Excellent communication, collaboration, and interpersonal skills

Nice to have

• Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback
• Experience with MLflow or alternative MLOps frameworks
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with emerging protocols such as MCP, A2A, ACP, etc.
• Experience deploying to cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)
• Experience with enterprise AI platforms such as AWS AgentCore, Databricks Agent Bricks, Google Agents Space, or Azure AI Foundry
• Experience with observability and monitoring tools and frameworks
• Knowledge of model training and fine-tuning techniques
• Proven ability to build and maintain reliable data pipelines and workflows using Airflow, Argo Workflows, or similar tools

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
• Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.