Sr AI Engineer
BRL 319K-412K (estimate) Senior-level Full Time
Tasks
- Build and integrate MCP servers and tools
- Build integrations with APIs and enterprise systems
- Collaborate with cross-functional teams
- Create AI agents and automation pipelines
- Deploy monitor test and troubleshoot AI automation solutions
- Design and develop AI automation solutions with LLMs
- Design and query knowledge graphs
- Develop backend logic data pipelines and automation scripts
- Develop prompt engineering strategies for production workflows
- Ensure AI solutions are secure scalable and maintainable
- Lead and manage teams
- Orchestrate AI workflows for business process automation
- Translate business requirements into AI technical solutions
- Write and optimize SQL queries for data tasks
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | API Gateway | API Integration | AWS | AWS Lambda | AWS Neptune | Airflow | Amazon Bedrock | Athena | Autogen | Azure | CI/CD | Classification | Claude | CloudWatch | Clustering | Containerization | Cost monitoring | CrewAI | Data Quality | Databases | Django REST | Django REST Framework | Docker | ECS | EKS | ELT | ETL | FastAPI | Feature Engineering | Flask | Gemini | Generative AI | Git | Glue | Graph Databases | IAM | Langchain | Language Models | Large Language Models | Latency monitoring | Llama | Llamaindex | Logging | MCP | Machine Learning | Mistral | Model Evaluation | N8n | Observability | OpenAI | OpenSearch | Power Automate | Prompt engineering | Python | REST APIs | REST Framework | Regression | Retrieval-Augmented Generation | S3 | SQL | SageMaker | Semantic Kernel | Semantic Search | ServiceNow | Step Functions | Tracing | Zapier
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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