Graduate Agentic AI Engineer
USD 71K-100K (estimate) Entry-level Full Time
Tasks
- Apply LLMs to telecom network optimization and fault prediction
- Build RAG pipelines for document ingestion and retrieval
- Build infrastructure as code with Terraform
- Build observability for LLM and retrieval workloads
- Collaborate in Agile sprints and perform code reviews
- Design agentic AI workflows with tool calling
- Develop and deploy GenAI microservices on AWS
- Develop production-grade generative AI applications on AWS
- Implement guardrails and output validation
- Implement multi-agent orchestration
- Implement prompt and model lifecycle management
- Integrate MCP for LLM tool and resource exposure
- Write clean tested production Python code
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS EC2 | AWS Lambda | Amazon ECS | Amazon S3 | Amazon SageMaker | CI/CD | ChromaDB | CloudWatch | Docker | Embeddings | FastAPI | Flask | Function Calling | Git | GitHub Actions | GitLab CI | Guardrails | Human evaluation | Hybrid search | IAM | JSON | Jenkins | LLM-as-judge | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Model Evaluation | OpenSearch | OpenTelemetry | Pinecone | Python | Qdrant | RAG | REST APIs | Reranking | Retrieval-Augmented Generation | Semantic Kernel | Step Functions | Structured Output | Terraform | Tool-Calling | Vector Databases | Weaviate
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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