Senior AI Engineer (Agentic AI)
Tasks
- Architect agentic and generative AI systems
- Build production agents and automations
- Contribute to agentic AI practice
- Contribute to pre sales solutioning
- Define best practices for AI engineering
- Deliver PoCs demos and production solutions
- Implement evaluation pipelines
- Implement observability
- Integrate agents with enterprise systems via APIs
- Lead platform and tooling decisions
- Manage prompt and versioning
- Mentor engineers and interns
- Optimize latency cost and accuracy
- Research new models and frameworks
- Set CI CD and AI and MLOps practices
- Support proposals and client conversations
- Translate business objectives into AI solutions
Perks/Benefits
- Coaching
- Continuing education
- Flexible work from home
- Health insurance
- Language courses
- Paid vacation
- Retirement plan contribution
- Telecommunication reimbursement
- Wellness allowance
Skills/Tech-stack
API Gateway | APIs | AWS | Agent systems | Amazon Bedrock | CI/CD | Embeddings | Evaluation | Function Calling | GDPR | Guardrails | Human-in-the-loop | Hybrid search | IAM | Lambda | Langchain | Langgraph | MLOps | Memory Management | Microservices | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | RAG | React | Reranking | S3 | Salesforce | Salesforce Agentforce | Semantic Search | State management | Testing | The Loop | Tool-Calling | Vector Databases | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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