Senior Applied Analytics Engineer
Hartford CT- Home Office, United States
USD 117K-175K Senior-level Full Time
Tasks
- Apply domain taxonomies and access controls
- Author prompts and structured outputs
- Automate regulatory filing support with GenAI
- Build RAG pipelines
- Build agentic analytics workflows
- Build and maintain domain knowledge bases
- Deploy and operate AI solutions in production
- Design conversational AI solutions
- Design retrieval strategies with embeddings
- Develop MLOps and CI/CD pipelines
- Enforce safety filters and guardrails
- Evaluate retrieval and chat performance
- Implement observability and monitoring
- Implement responsible AI practices
- Integrate AI with business intelligence data
- Mentor engineers and lead technical best practices
- Monitor drift and test model performance
- Own AI solution lifecycle
- Prepare and normalize unstructured data
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Airflow | Apache Tika | B testing | Bias Mitigation | CI/CD | CloudFormation | Docker | Embeddings | GCP | Git | GitHub Actions | HNSW | Hybrid search | Infrastructure as Code | JSON Schema | Jenkins | Kubernetes | Langchain | Langgraph | Llamaindex | MLOps | Model Monitoring | NumPy | OCR | Observability | OpenAI | OpenSearch | PGVector | Pandas | Postgres | Python | RAG | Reranking | SQL | SageMaker | Snowflake | Spark | Terraform | Tesseract | Vertex AI | “as-code”
Education
Regions
Countries
States
Cities
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