Sr. GenAI Developer
Jersey City NJ/Plano TX(Need Local candidate only)
Look for an ex-Bank of America /Financial/Banking domains candidate.
Position Summary
Looking for a highly skilled Generative AI (GenAI) Developer with deep expertise in Python development to design build and deploy AI-powered applications.
The ideal candidate will have a strong background in large language models (LLMs) machine learning and enterprise-grade Python solutions.
This role requires hands-on experience in integrating GenAI technologies with robust production-ready Python systems
Responsibilities
- Design and develop GenAI applications leveraging LLMs (OpenAI Hugging Face Anthropic Llama etc.).
- Build and maintain Python-based APIs microservices and pipelines for GenAI integration.
- Fine-tune and optimize pre-trained models for domain-specific use cases.
- Implement prompt engineering strategies to improve model performance.
- Work with vector databases (Pinecone Weaviate FAISS Milvus) to enable RAG-based solutions.
- Collaborate with cross-functional teams (data scientists engineers business) to deliver scalable AI-driven solutions.
- Deploy and monitor GenAI models in cloud environments (AWS Azure GCP).
- Apply MLOps best practices (CI/CD Docker Kubernetes MLflow Kubeflow) for model lifecycle management.
- Conduct research on emerging Python libraries and GenAI frameworks (LangChain LlamaIndex Transformers PyTorch TensorFlow).
Required Skills & Qualifications:
- 5 years of Python development experience with strong expertise in object-oriented design data structures and algorithms.
- Proven experience in machine learning / deep learning with PyTorch or TensorFlow.
- Strong knowledge of LLMs and GenAI frameworks (LangChain Hugging Face Transformers LlamaIndex).
- Hands-on experience in API development (FastAPI Flask Django).
- Proficiency in working with databases (SQL/NoSQL) and vector databases.
- Experience with cloud AI services (AWS Sagemaker Azure OpenAI GCP Vertex AI).
- Strong debugging performance optimization and testing skills in Python.
- Knowledge of data pipelines ETL and orchestration (Airflow Prefect Luigi) is a plus