What are the responsibilities and job description for the Sr AI Engineer position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Venusgeo, is seeking the following. Apply via Dice today!
Job Title: AI Engineer (Mid-Level)
Location: Warren, NJ - 4 days onsite
Education
Generative AI & LLMs
Job Title: AI Engineer (Mid-Level)
Location: Warren, NJ - 4 days onsite
Education
- Bachelor's degree in Computer Science, Data Science, Machine Learning, Software Engineering, or a related quantitative field. Master's degree is a plus.
- 3 5 years of professional experience in AI/ML engineering, with demonstrated delivery of production-grade AI systems.
- Hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
- Proven experience implementing MLOps pipelines in cloud environments (Azure preferred).
- Experience developing AI agents or automation workflows using agentic frameworks.
- Prior experience in financial services, insurance, or regulated industries is strongly preferred.
Generative AI & LLMs
- OpenAI / Azure OpenAI (GPT-4o, GPT-4 Turbo), Claude, Mistral, or open-source LLMs (Llama 3, Falcon)
- RAG architectures, vector search, embeddings (OpenAI, Cohere, SentenceTransformers)
- LangChain, LlamaIndex, Semantic Kernel
- Prompt engineering, few-shot learning, instruction tuning, RLHF concepts
- Agentic frameworks: ReAct, Tool-Augmented Agents, LangGraph, AutoGen, CrewAI
- Workflow orchestration: Apache Airflow, Databricks Workflows, Azure Logic Apps
- API design and integration: REST, GraphQL, Webhooks
- MLflow (experiment tracking, model registry, model serving)
- Azure Machine Learning, Databricks AutoML & Feature Store
- Docker, Kubernetes (AKS), Azure Container Apps
- CI/CD: Azure DevOps, GitHub Actions
- Model monitoring: Evidently AI, Azure ML monitoring, or equivalent
- Python (expert level): PyTorch, Hugging Face Transformers, scikit-learn, Pandas, NumPy
- PySpark and Delta Lake for large-scale data processing
- SQL (T-SQL / Spark SQL) for feature engineering and data validation
- Git for version control and collaborative development
- Microsoft Azure (Azure OpenAI, Azure AI Search, AKS, Azure Data Factory, Azure Key Vault)
- Databricks (Unity Catalog, Delta Live Tables, Workflows)
- Microsoft Fabric / OneLake (familiarity a strong plus)
- Experience with P&C insurance workflows such as FNOL processing, claims triage, underwriting decisioning, or actuarial modeling.
- Familiarity with insurance regulatory requirements including NAIC guidelines and data privacy standards (CCPA, GDPR).
- Experience implementing responsible AI principles fairness, explainability, and bias mitigation in regulated environments.
- Microsoft certifications: Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100) preferred.
- Exposure to Data Mesh patterns and publishing AI model outputs as domain data products.
- Familiarity with Databricks Model Serving and Mosaic AI capabilities.