LLM/GenAI engineer

Apply for a highly demanded new age job – a Data Scientist/ GenAI LLM Engineer. Be part of Accenture team working in Latvia 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.

What we offer:

Competitive salary 2500 - 4500 EUR gross

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

Your responsibilities will include:

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.

Would love to see, but ready to consider without:

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

#LND

LLM/GenAI engineer

Key Skills

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