AI Engineer
Tasks
- Add observability and tracing
- Architect AI agent RPA handoff logic
- Architect multi-agent systems
- Build RPA task bots
- Define agent tool integrations
- Design memory and context management
- Diagnose hallucination tool misuse and cost issues
- Handle model merging quantization and serving
- Implement agent evaluation frameworks
- Lead use case discovery workshops
- Manage GPU training runs
- Mentor junior engineers
- Own LLM adaptation strategy
- Perform model fine-tuning
- Set up CI CD for model deployments
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | Agent coordination | Amazon Bedrock | Autogen | Automation Anywhere | Azure AI | Azure AI Services | CI/CD | CrewAI | Dataset Preparation | Embeddings | Failure recovery | GPTQ | Gguf | Google Vertex | Google Vertex AI | Guardrails | HuggingFace PEFT | HuggingFace Transformers | Langchain | Langgraph | LoRA | Memory Management | Model Evaluation | Model versioning | Multi-Agent | Multi-Agent Coordination | OpenAI | Pinecone | Power Automate | Python | QLoRA | Qdrant | Retrieval evaluation | Tool use | UiPath | Unsloth | VLLM | Vector Databases | Vertex AI | Weaviate
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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