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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
- 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
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- Pinecone, ChromaDB, FAISS
- Experience with at least one cloud platform
- AWS / Azure / GCP
- Understanding of model deployment and monitoring
- Bachelors or Masters degree in Computer Science, Information Technology or related field
- 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)
Skills
PythonData ScienceDeep LearningMachine LearningSnowflakeAi/mlPrompt EngineeringAi EngineerFlaskAiMlSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
We envision a future in which data is the biggest driver of continuously increasing societal and economic value. As digitalization gains speed, personalized services become the new normal and a key success factor for our customers - rapidly increasing the demand for data-driven innovations and new revenue streams. Tieto seeks a pivotal role in this change and aims to capture the significant opportunities of the data-driven world – and by doing this, to become our customers' first choice for business renewal. Our customers are mainly large organizations that offer a range of services to businesses, consumers and citizens in the Nordics and beyond. We ensure our customers’ everyday business and services run smoothly, and help them create future success through smart adoption of technology and utilization of data. Among our global team of 15 000 employees in almost 20 countries, we foster an Open Source culture that promotes respect for every individual, openness, good team work, diversity and equal opportunities. In 2018, we were nominated as a Global 100 Tech Leader by Thomson Reuters as a result of solid, long-term commitment to drive innovation, performance and social responsibility.
Important dates & deadlines?
Application Deadline
03 Aug 26, 04:09 PM IST
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AI Engineer - Tieto Tech Consulting (m/f/d)
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