Sr AI ML Developer
Tasks
- Architect AI platforms integrating LLMs RAG streaming vector search CI CD
- Build retrieval pipelines using search vector stores
- Collaborate with stakeholders translate requirements into designs
- Define REST gRPC API standards OAuth2 OIDC security observability
- Deploy AI services using Docker Kubernetes Helm service mesh managed ML services
- Develop LangChain4j pipelines prompts tools agents
- Drive proof of concepts and technical evaluations of GenAI technologies
- Establish ML governance coding versioning monitoring reproducibility
- Integrate Python hosted model endpoints via REST gRPC
- Lead LLM fine tuning evaluation deployment
- Mentor engineers define architecture standards reference implementations
- Optimize embeddings chunking retrieval caching batching circuit breakers
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Azure DevOps | Cassandra | DJL | DVC | Databricks | Databricks MLlib | Docker | Elasticsearch | FastAPI | Flask | GCP Vertex | GCP Vertex AI | GRPC | GitHub Actions | Gradle | Helm | Hibernate | Hugging Face | Hugging Face Transformers | Istio | JPA | Java | Jenkins | KServe | Kafka | Kubernetes | LangChain4J | Langchain | Langfuse | Langgraph | Linkerd | Lucene | MLflow | Maven | Micrometer | Micronaut | MongoDB | Netty | OAuth 2 | OAuth 2 0 | ONNX Runtime | ONNX Runtime Java | Ollama | OpenID Connect | OpenSearch | OpenTelemetry | PGVector | Pinecone | PostgreSQL | PyTorch | Python | Quarkus | Ray | Ray Serve | Redis | Scikit-learn | Seldon Core | Service Mesh | Spark | Spring Boot | TensorFlow | Terraform | TruLens | VLLM | Vector Database | Vertex AI | Vertx | Vespa | Weaviate
Education
N/A
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