Job Description

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

Additional Information

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)

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