Software Engineer, AI-Powered Advertising Agents 1-2 year Experiece
Tasks
- Build RAG-based AI agents
- Create and fine-tune prompts
- Create scalable secure AI architectures
- Deploy pre trained models
- Design develop and deploy AI-driven features
- Drive end to end ownership of AI implementations
- Evaluate generative model performance
- Fine-tune language models
- Implement and optimize large language models
- Implement vector databases
- Integrate AI capabilities into products
- Integrate external knowledge sources
- Mentor engineering teams
- Monitor and optimize model performance
- Optimize vector search indexing
- Provide technical leadership
- Stay current with LLM and generative AI research
- Use evaluation frameworks and metrics
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Agent memory | Agent observability | Agent planning | Attention Mechanisms | Autogen | Azure | Cloud deployment | CrewAI | Data Preprocessing | Docker | Evals | Faiss | Fine Tuning | GCP | Generative AI | Graph Based Architectures | Graph Embeddings | Graph Neural Networks | Graph-based | Guardrails | Hugging Face | Hugging Face Transformers | Hyperparameter Tuning | Knowledge Graph Embeddings | Knowledge graph | Kubernetes | Langfuse | Langgraph | Language Models | Large Language Models | Machine Learning | Milvus | Model Context Protocol | Multi-Agent | Multi-agent orchestration | Neural Networks | Pinecone | Prompt engineering | PyTorch | Python | RAG Pipelines | Retrieval-Augmented Generation | TensorFlow | Tool use | Tracing | Transformer Architecture | Vector Databases | Vector indexing | Vectorization | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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