Role: Sr. GenAI Developer 

Location: Jersey City, NJ/Plano, TX(Need Local candidate only)

Look for Financial/Banking domains candidate.

Position Summary

We are 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.