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.).