AI Agents & LLM Engineer

AI Agents & LLM Engineer

Description:

We are seeking an experienced AI agents & LLM Engineer to join our core development team. You will be responsible for the end-to-end lifecycle of our cutting-edge models - from design and training to integration into customer-facing products. If you thrive on solving complex problems using AI agents & LLMs, possess expert-level Python skills and are driven by delivering tangible production value, this is your opportunity to shape our product innovation.

Key responsibilities:

• Design, build and deploy solutions based on Machine Learning, LLMs and AI agents with a focus on enterprise production applications

• Develop and implement AI-powered applications utilizing RAG, agentic workflows, multi-agent architectures and tool-calling frameworks.

• Build and optimize data pipelines for training, validation and inference

• Optimize models for performance, scalability and cost-effectiveness

• Build scalable and cost-effective AI solutions leveraging cloud-native architectures.

• Conduct integration with applications (FastAPI, microservices)

• Implement MLOps and LLMOps processes, including automated training, testing, deployment, monitoring, evaluation, guardrails, and model retraining.

• Design agent orchestration frameworks and advanced reasoning workflows for autonomous and semi-autonomous AI systems.

• Integrate different AI models into production systems working closely with other engineering teams

• Collaborate with data science, POs and IT teams to define requirements into implementation

• Ensure security, compliance, reliability, and observability of deployed AI solutions.

Key competencies:

• Minimum 5 years of experience in Software Engineering, Machine Learning, Data Science or AI-related roles.

• Strong hands-on experience designing and deploying AI agents and LLM-based applications in production environments.

• Deep understanding of Transformer architectures, RAG systems, embeddings, vector databases, prompt engineering, context management and agent orchestration.

• Expert-level proficiency in Python and modern AI frameworks.

• Strong experience with LangChain, LangGraph, SmolAgents, Google ADK, CrewAI or similar agent frameworks.

• Practical knowledge of building autonomous and multi-agent systems.

• Experience implementing advanced reasoning patterns, planning strategies and tool-augmented AI workflows.

• Strong understanding of software architecture, API development, microservices and distributed systems.

• Experience with SQL, data preprocessing, ETL pipelines, feature engineering and large-scale data processing.

• Experience with CI/CD pipelines and DevOps practices.

• Knowledge of MLflow, Airflow or similar MLOps platforms.

• Strong analytical, communication, and problem-solving skills.

• Fluent English communication skills, both written and spoken.

Nice to Have:

• Experience with Generative AI evaluation frameworks and observability platforms (LangSmith, Arize, Galileo, Phoenix, etc.).

• Experience fine-tuning open-source models and working with model serving frameworks.

• Knowledge of graph-based AI architectures and knowledge graphs.

• Experience implementing AI governance, guardrails, and Responsible AI practices.