Gen AI Engineer_Danske

We are looking for a highly skilled GenAI Engineer with 5+ years of overall experience in designing, developing, and deploying AI/ML solutions, with strong hands-on expertise in Generative AI, LLMs, and NLP use cases. The ideal candidate should have experience building scalable AI applications on AWS or Databricks, and should be comfortable working across model development, prompt engineering, RAG pipelines, vector databases, and deployment workflows.

Technical Requirements: 1) Strong hands-on experience in Python
2) Good experience with Generative AI / Large Language Models (LLMs)
3) Solid understanding of NLP, embeddings, transformers, prompt engineering, and LLM application design
4) Experience building RAG pipelines
5) Hands-on experience with orchestration frameworks such as - LangChain / LlamaIndex / Semantic Kernel / AutoGen / CrewAI / LangGraph
6) Experience with vector databases such as - FAISS, Pinecone, Chroma, Weaviate, Milvus, Elasticsearch/OpenSearch
7) Exposure to REST APIs / FastAPI / Flask for serving AI applications
8) Strong understanding of ML lifecycle, deployment, testing, and performance tuning

Additional Responsibilities: Cloud / Platform Skills
Candidate should have hands-on experience in either AWS or Databricks:
AWS - AWS Bedrock, SageMaker, Lambda, ECS/EKS, S3, API Gateway, CloudWatch, IAM
Experience deploying scalable AI/ML workloads on AWS
OR
Databricks - Databricks notebooks, MLflow, Model Serving, Delta Lake, Unity Catalog
Experience building and deploying AI/ML / GenAI use cases on Databricks platform

Exposure to MLOps / LLMOps concepts
Knowledge of model monitoring, evaluation, experimentation, and versioning
Experience with Docker, Kubernetes, CI/CD pipelines
Familiarity with guardrails, AI safety, content filtering, and governance
Exposure to multimodal AI, agentic workflows, or autonomous AI systems
Understanding of structured/unstructured data processing pipelines