AI Engineer - Tieto Tech Consulting (m/f/d)

AI Engineer (3–4 Years)

Description

We are seeking a skilled AI Engineer to design, build, and deploy AI-powered applications and intelligent systems for global clients. This role focuses on developing production-grade AI solutions using modern AI frameworks, including generative AI, LLM-based systems, and agentic AI architectures.

You will work on building scalable AI services, integrating AI models into applications, and developing end-to-end AI pipelines including RAG and multi-agent systems.

Responsibilities

• Design and develop AI-powered applications using LLMs and modern AI frameworks
• Build and optimize RAG pipelines for enterprise use cases
• Develop agentic AI systems with multi-agent orchestration
• Implement basic retrieval evaluation: relevance scoring, top-k result quality, and pipeline latency benchmarking
• Build tool-use integrations for AI agents: REST API connectors, database query tools, file system tools, and enterprise system adapters
• Write and maintain agent evaluation test suites: unit tests for tool calls, integration tests for agent workflows, and regression tests against eval datasets
• Integrate AI models with APIs, backend systems, and enterprise applications
• Perform data preprocessing, feature engineering, and model evaluation
• Develop REST APIs and microservices for AI applications
• Deploy models on cloud environments (AWS/Azure/GCP)
• Collaborate with cross-functional teams to deliver AI solutions for global customers
• Develop and maintain AI application layers: chat interfaces, document processing pipelines, semantic search, and AI-assisted workflow automation
• Implement multi-agent orchestration using (Anyone) LangGraph, AutoGen, CrewAI, or Semantic Kernel — implement the right pattern (ReAct, self-reflection, hierarchical delegation, plan-and-execute) per use case
• Investigate and resolve production incidents in AI systems: trace agent call chains, identify failure modes, and implement fixes
• Implement and maintain PII detection and redaction controls within AI pipelines
• Monitor model performance and improve system efficiency

Must Have Skills

• 3–4 years of experience in AI/ML or AI engineering
• Strong proficiency in Python
• Strong understanding of AI/LLM-based application development
• Hands-on experience with LLMs: GPT, Gemini, Claude
• Experience in Agentic AI systems
  • LangChain, LangGraph, CrewAI
• Experience in RAG pipelines and embeddings
• Strong knowledge of NLP techniques
  • Sentiment Analysis, Topic Modeling, Q&A Chatbots, Text Classification
• Experience building APIs and web apps
  • Flask, FastAPI, Streamlit
• Strong SQL skills
• Experience with databases
  • PostgreSQL, Snowflake
• Hands-on experience with Vector Databases
  • Pinecone, ChromaDB, FAISS
• Experience with at least one cloud platform
  • AWS / Azure / GCP
• Understanding of model deployment and monitoring
• Bachelor’s or Master’s degree in Computer Science, Information Technology or related field

Desirable Skills

• Exposure to MLOps tools (MLflow, Kubeflow)
• Strong foundation in Machine Learning & Data Science
  • scikit-learn, pandas, NumPy
• Experience in Deep Learning frameworks
  • TensorFlow, PyTorch
• Experience with Docker and CI/CD pipelines
• Knowledge of microservices architecture
• Familiarity with prompt engineering and evaluation frameworks
• Understanding of Responsible AI principles

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Diversity, equity and inclusion (tietoevry.com)