- Company Name
- Iris Software Inc.
- Job Title
- Artificial Intelligence Engineer
- Job Description
-
Job Title: Generative AI Engineer
Role Summary: Designs, develops, and deploys scalable Generative AI solutions leveraging large language models, vector databases, and cloud-native infrastructure to deliver production-grade AI applications. Translates business objectives into end-to-end ML pipelines and collaborative AI tools.
Expactations: - 7+ years in AI/ML engineering, 3+ years in Generative AI development
- Strong AWS expertise (SageMaker, Bedrock, Lambda, ECS/EKS, S3)
- Proficiency in Python, ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers)
- Experience in RAG pipelines, vector databases (Pinecone, FAISS)
- Deep knowledge of NLP, LLM architectures, and MLOps workflows
Key Responsibilities:
- Design and implement GenAI applications (chatbots, summarization tools, copilots).
- Fine-tune and optimize LLMs and foundation models (GPT, Llama, Mistral) for domain-specific use cases.
- Build scalable ML pipelines for data ingestion, training, deployment, and monitoring.
- Integrate vector databases and embedding generation for retrieval-augmented generation.
- Collaborate with cross-functional teams to align AI solutions with business goals.
- Apply prompt engineering, model evaluation, and optimization for performance improvements.
- Ensure secure, compliant AI workflows and data governance.
Required Skills: Advanced Python, AWS cloud infrastructure, ML libraries (PyTorch, TensorFlow, LangChain), RAG pipelines, NLP, LLM architectures, MLOps (MLflow, Kubeflow), CI/CD, containerization (Docker, Kubernetes), API integration.
Required Education & Certifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or equivalent technical field.