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 Lithuania, whether it’s your home or our dynamic offices in Vilnius and Kaunas.

RESPONSIBILITIES

• Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
• Collaborate directly with clients to understand their unique needs, identify opportunities, and recommend LLM-driven approaches
• Develop and manage robust data pipelines, prompt strategies, and datasets that ensure effective and accurate AI models
• Evaluate and refine the performance of AI systems, 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 methods to continuously improve solutions and client outcomes

REQUIREMENTS

• Strong proficiency in Python
• Deep understanding of the AI/LLM development lifecycle, including CI/CD, version control, testing, MLOps and LLMOps
• NLP expertise (classification, NER, retrieval, summarization) and experience with generative AI evaluation techniques
• Proven ability to build and maintain reliable data pipelines and workflows
• Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, LLAMA) and related frameworks (e.g., LangChain, LLamaIndex)
• Knowledge of advanced AI Integration patterns (e.g., RAG, AgenticRAG, agent flows, tool integration)
• Experience deploying AI solutions at scale with considerations for performance, cost-efficiency, and maintainability
• Proven ability to evaluate generative AI quality, using metrics like retrieval and classification scores and LLM-based evaluation methods
• Proven experience in AI engineering and delivering ML-based solutions
• Strong problem-solving abilities 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
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Experience deploying to cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (vLLM)
• Experience with monitoring tools and frameworks for evaluating long-term model performance and data drift
• Knowledge how to train and fine-tune models
• Experience with extracting and processing text from diverse sources, including PDFs, websites, and other document formats

WE OFFER

• 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 295+ 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 Lithuania, whether it’s your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more