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Senior AI Engineer (6–8 Years)

Description

We are seeking a highly experienced Senior AI Engineer to lead the design and development of advanced AI systems for global enterprise clients. This role requires strong expertise in generative AI, agentic AI systems, and production deployment of AI solutions.

You will be responsible for building scalable AI architectures, leading project implementations, and mentoring engineers while ensuring high-quality deliverables.

Responsibilities

• Lead design and development of end-to-end AI solutions
• Build and scale RAG-based systems and LLM applications
• Design and implement agentic AI and multi-agent systems
• Develop production-grade AI APIs and microservices
• Implement multi-agent orchestration using (Anyone) LangGraph, AutoGen, CrewAI, or Semantic Kernel — selecting the right pattern (ReAct, self-reflection, hierarchical delegation, plan-and-execute) per use case
• Build and maintain MCP (Model Context Protocol) servers; implement A2A (Agent2Agent) integration patterns for enterprise multi-agent environments
• Deploy and manage AI applications on cloud platforms
• Optimize performance, latency, and cost of AI systems
• Mentor junior engineers and conduct code/design reviews
• Collaborate with stakeholders to translate business requirements into AI solutions

Must Have Skills

• 6–8 years of experience in AI/ML engineering
• Strong programming expertise in Python
• Strong experience with LLMs
  • GPT, Gemini, Claude
• Deep expertise in Agentic AI systems
  • LangChain, LangGraph, CrewAI
• Strong experience with RAG pipelines, embeddings, and vector search
• Expertise in Context Engineering, Harness Engineering,
• Build and maintain evaluation harnesses for RAG quality: accuracy, faithfulness, hallucination rate, context precision and recall, latency
• Strong experience in NLP applications
  • Chatbots, Sentiment Analysis, Topic Modeling, Q&A systems
• Strong experience with MLOps  
  • MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines
• Hands-on experience with Docker & Kubernetes
• Strong SQL skills
• Experience with databases
  • PostgreSQL, Snowflake
• Experience with Vector Databases
  • Pinecone, ChromaDB, FAISS
• Integrate AI agents and pipelines with enterprise systems: REST/GraphQL APIs, event streaming , databases, and document stores
• Implement security and compliance controls within AI pipelines: PII redaction, output filtering, prompt injection defence, audit logging, and role-based access to AI capabilities
• Experience with web frameworks
  • Flask, FastAPI, Streamlit
• Experience with at least one cloud platform
  • AWS / Azure / GCP
• Agentic Coding tools (any one) – Claude Code, GitHub Copilot
  • Creating skills, Agents, plugins in Agentic Coding tools
• Experience in model deployment, monitoring, and optimization
• Strong communication + mentoring ability
• Bachelor’s or Master’s degree in Computer Science, Information Technology or related field

Desirable Skills

• Multi-cloud experience (AWS + Azure/GCP)
• Strong foundation in Machine Learning & Data Science
  • scikit-learn, pandas, NumPy
• Deep Learning expertise
  • TensorFlow, PyTorch
•  
• Experience with distributed training frameworks
• Exposure to transformer optimization, RLHF, fine-tuning
• Experience in large-scale enterprise AI systems
• Knowledge of AI ethics and explainability
• Contributions to open-source AI projects

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)