AI Engineer – Financial Services Hybrid
USD 150K-200K (estimate) Mid-level Full Time
Tasks
- Build chatbots knowledge assistants and workflow automation agents
- Build multi agent validation and refinement systems
- Deploy AI applications using AWS services
- Design AI powered applications
- Design RAG pipelines for embeddings and retrieval
- Design agent workflows with tool function calling and retries
- Evaluate model performance and improve grounding and output consistency
- Implement end-to-end AI solutions
- Implement human-in-the-loop workflows
- Integrate AI systems with internal APIs and data pipelines
- Monitor and improve accuracy latency cost and reliability
- Process structured and unstructured data using SQL and S3
- Validate structured outputs and enforce schemas with guardrails
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS Bedrock | AWS Glue | AWS Lambda | AWS Step Functions | Agent systems | Amazon ECS | Amazon Redshift | Amazon S3 | Amazon SNS | Amazon SQS | Automated testing | CI/CD | Containerization | Embeddings | Function Calling | Guardrails | Infrastructure as Code | LLM Evaluation | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | RAG | SQL | Schema Validation | Semantic Search | Step Functions | Structured Output | Tool-Calling | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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