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.

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

Benefits

• 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 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