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Lead AI Engineer Full-time Job

3 weeks ago   Engineering   Riga   2 views Reference: BDbDRWL6el2
Job Details

We are looking for a Lead AI Engineer to design and deliver AI solutions, including chatbots, Q&A systems, and workflow systems for agents.This position requires staying informed about LLM advancements and driving innovation in AI projects. Join us to expand your expertise in AI engineering and create impactful solutions tailored to client needs. Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.

ResponsibilitiesDesign AI applications such as chatbots, Q&A platforms, and agent workflowsCollaborate with clients to identify needs, opportunities, and recommend LLM-based solutionsDevelop data pipelines, prompt strategies, and datasets to support effective AI modelsEvaluate AI systems to ensure accuracy, security, scalability, and compliance with industry standardsResearch and validate technical feasibility while demonstrating business valueStay informed about LLM technologies, frameworks, and methodologies to improve solutions RequirementsProficiency in Python and experience with web frameworks like FastAPIBackground in leading and mentoring engineering teamsUnderstanding of AI development lifecyclesFlexibility to use rapid UI prototyping tools like Streamlit or GradioFamiliarity with LLM platforms and APIs such as OpenAI, Anthropic, Amazon Bedrock, and Gemini, along with frameworks like LangGraph and LlamaIndexKnowledge of advanced AI integration patterns like RAG and AgentsSkills in deploying AI solutions at scale with a focus on performance and cost-efficiencyExperience assessing generative AI quality using retrieval, classification, or LLM-based metricsProven background in AI engineering and delivering machine learning-based solutionsCompetency in problem-solving with strong attention to detailStrong written and verbal English communication skills (B2+) Nice to haveBackground in designing experiments and conducting A/B testing for model optimizationUnderstanding of retrieval systems, vector search, and ranking algorithmsFamiliarity with protocols like MCP, A2A, and ACPExperience deploying AI solutions to cloud platforms such as Azure OpenAI, Amazon Bedrock, or GCP Vertex AI; flexibility to leverage on-premise options like vLLMBackground in enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, or Azure AI FoundrySkills in using observability and monitoring frameworks and tools We offerEngineering 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 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. About EPAMEPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.With offices in 55+ countries, EPAM has grown in Latvia to over 150+ talented innovators in 3 years.

We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us. Salary range €4.5K-€6.3K gross, based on your experience and interview results.

Company Description
We are looking for a Lead AI Engineer to design and deliver AI solutions, including chatbots, Q&A systems, and workflow systems for agents.This position requires staying informed about LLM advancements and driving innovation in AI projects. Join us to expand your expertise in AI engineering and create impactful solutions tailored to client needs. Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office. ResponsibilitiesDesign AI applications such as chatbots, Q&A platforms, and agent workflowsCollaborate with clients to identify needs, opportunities, and recommend LLM-based solutionsDevelop data pipelines, prompt strategies, and datasets to support effective AI modelsEvaluate AI systems to ensure accuracy, security, scalability, and compliance with industry standardsResearch and validate technical feasibility while demonstrating business valueStay informed about LLM technologies, frameworks, and methodologies to improve solutions RequirementsProficiency in Python and experience with web frameworks like FastAPIBackground in leading and mentoring engineering teamsUnderstanding of AI development lifecyclesFlexibility to use rapid UI prototyping tools like Streamlit or GradioFamiliarity with LLM platforms and APIs such as OpenAI, Anthropic, Amazon Bedrock, and Gemini, along with frameworks like LangGraph and LlamaIndexKnowledge of advanced AI integration patterns like RAG and AgentsSkills in deploying AI solutions at scale with a focus on performance and cost-efficiencyExperience assessing generative AI quality using retrieval, classification, or LLM-based metricsProven background in AI engineering and delivering machine learning-based solutionsCompetency in problem-solving with strong attention to detailStrong written and verbal English communication skills (B2+) Nice to haveBackground in designing experiments and conducting A/B testing for model optimizationUnderstanding of retrieval systems, vector search, and ranking algorithmsFamiliarity with protocols like MCP, A2A, and ACPExperience deploying AI solutions to cloud platforms such as Azure OpenAI, Amazon Bedrock, or GCP Vertex AI; flexibility to leverage on-premise options like vLLMBackground in enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, or Azure AI FoundrySkills in using observability and monitoring frameworks and tools We offerEngineering 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 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. About EPAMEPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.With offices in 55+ countries, EPAM has grown in Latvia to over 150+ talented innovators in 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us. Salary range 4.5K-6.3K gross, based on your experience and interview results.