Specialist Software Engineer
Tasks
- Add source attribution traceability and grounding
- Build document ingestion semantic chunking embedding and indexing pipelines
- Build integrations with data sources
- Build vector search and semantic retrieval systems
- Design APIs and distributed systems
- Design full stack scalable backend services
- Develop AI powered scientific authoring and knowledge management platforms
- Develop RAG pipelines
- Develop cloud-native applications on AWS
- Implement multi agent workflows for content generation and refinement
- Implement prompt orchestration and agent execution frameworks
- Implement testing and code reviews
- Improve retrieval quality using metadata filtering hybrid search reranking
- Lead architecture decisions for scalability reliability security observability maintainability
- Process structured and unstructured scientific content
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Agent Orchestration | Amazon Bedrock | Anthropic Claude | CI/CD | Cloud Native | Cloud-native computing | CloudFormation | CloudWatch | CrewAI | Database Design | Datadog | DevOps | Docker | Document ingestion | ECS | EKS | Embeddings | EventBridge | Generative AI | Grafana | IAM | Indexing pipelines | Infrastructure as Code | Java | Kubernetes | Kubernetes CKA | Kubernetes CKAD | Lambda | Langgraph | Language Models | Large Language Models | Microservices | Monitoring | OCR | Observability | OpenAI | OpenSearch Vector | PGVector | Pinecone | Prometheus | Prompt engineering | Python | RDS | Retrieval-Augmented Generation | S3 | SQL | Semantic Kernel | Semantic Retrieval | Semantic chunking | Splunk | Terraform | Vector Databases | Vector Search | Weaviate | “as-code”
Education
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