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Photon

data opportunity

Sr Data Scientist - Gen AI ML - Citi - Irving

The role involves building end-to-end AI applications, including design, deployment, and scaling of generative AI solutions. Responsibilities also include developing RAG pipelines, managing model guardrails, and implementing MLOps practices.

United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Photon?

Core Skill Set:

* Python (advanced, production-grade coding)

* Generative AI (LLMs, prompt engineering, fine-tuning, RAG)

* Agent development using frameworks such as ADK, LangGraph, LangChain

Additional Relevant Skills:

* Experience building end-to-end AI applications (design → deploy → scale)

* Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g.,

Pinecone, FAISS)

* API development and integration (FastAPI, REST, microservices)

* Cloud platforms: AWS / Azure / GCP (especially AI/ML services)

* Model evaluation, guardrails, and Responsible AI practices

* Experimentation frameworks, prompt/version management, and observability

* Working knowledge of data pipelines and engineering (ETL, streaming)

* Familiarity with MLOps / LLMOps (CI/CD for models, monitoring, retraining)

* Strong problem-solving with ability to translate business use cases into AI

solutions

Compensation, Benefits and Duration

Minimum

Compensation

USD 53,000

Maximum

Compensation

USD 188,000

Compensation

is based on actual experience and qualifications of the candidate.

The above is a reasonable and a good faith estimate for the role.

Medical, vision, and dental benefits, 401k retirement plan, variable

pay/incentives, paid time off, and paid holidays are available for full time

employees.

This position is not available for independent contractors

No applications will be considered if received more than 120 days after the date

of this post

Which skills does this role require?

PythonGenerative AILLMsPrompt engineeringFine-tuningRAGLangGraphLangChainFastAPIAWSAzureGCPMLOpsETLData pipelinesResponsible AIPineconeFAISSRESTMicroservicesStreamingLLMOpsCI/CDVector databasesObservabilityREST APIsMachine LearningA/B Testing

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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