Gen AI Engineer

Benefits:

• Bonus based on performance
• Competitive salary
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Qualifications:

• 10+ years of software engineering and development experience
• Strong experience in building and deploying GenAI applications in production.
• Strong programming with Python and familiar with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
• Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC.
• Hands-on experience designing and building cloud-native solutions (preferably on AWS)
• GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock) will be a PLUS
• Familiar with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) is a PLUS
• AWS AI certification
• Financial Services experience

Responsibilities:

• Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG).
• Fine-tune foundation models using domain-specific data.
• Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).
• Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools.
• Implement responsible AI practices including bias detection, hallucination mitigation, and explainability.
• Drive experimentation with new models, agents, and frameworks (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.).