LLM/GenAI engineer at Accenture in Vilnius, Vilnius County, Lithuania

Apply for a highly demanded new age job – a Data Scientist/ GenAI LLM Engineer. Be part of Accenture team working in Lithuania and delivering projects to world leaders in various fields, like TV & Entertainment, Telecommunication, Finances, Insurance, Industry, Logistic & Supply Chain, and others.

Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information.

As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients.

Benefits:

• Flexible vacation + health & travel insurance + relocation
• Hybrid work model: flexible hours with the possibility to combine office and remote work.
• Work with Fortune 500 companies from different industries all over the world
• Skills development and training opportunities, company-paid certifications
• Opportunities to advance career
• An open-minded and inclusive company culture

Compensation at Accenture varies depending on a wide array of factors including but not limited to role, location, effort, responsibility, skillset, and level of experience. We are hiring at the following management levels, and any offer will align with the gross base pay range according to the level at which you are assessed:

Analyst: EUR 1710 - 4200

Senior Analyst: EUR 2100 - 4700

Team Lead: EUR 2500 - 5300

Associate manager: EUR 2900 - 6900

Key responsibilities:

• Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing
• CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support.
• Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution.
• Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.
• Provide technical guidance to clients adopting LLM technologies.

Required Qualifications:

• Bachelor’s Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields
• 3+ years of hands-on Python development experience; 2+ years building and maintaining production APIs (FastAPI, Flask); strong software engineering fundamentals including testing, version control, and code quality
• 2+ years with AI/ML/NLP/LLM technologies; 1+ year production experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI); hands-on experience with LLM frameworks (LangChain or similar); proficiency in prompt engineering, RAG implementation, and vector databases
• 2+ years with cloud platforms (AWS, GCP, or Azure); 2+ years of experience with LLMOps/MLOps, model evaluation, CI/CD pipeline development, containerization, model deployment in test and production environments, familiarity with LLM observability tools
• Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders.
• Due to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer.

Desired Qualifications:

• M.Sc. or Ph.D. in Computer Science, AI/ML, or related field
• Experience with fine-tuning techniques (LoRA, QLoRA, PEFT), quantization, and model optimization; hands-on with open-source models (Llama, Phi, Gemma) and frameworks (HuggingFace Transformers, vLLM)
• Proficiency with additional languages (Bash, TypeScript); experience with data platforms (Databricks, Snowflake); knowledge of graph databases (Neo4j) for advanced RAG
• Expertise in agentic frameworks (LangGraph, AutoGen, Semantic Kernel), multi-agent systems, tool use/function calling, and complex orchestration patterns
• Strong understanding of Responsible AI, including bias detection, guardrails implementation, content safety, data privacy, and AI governance; applied research experience in NLP/LLM domains

#LI-EU

About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.