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# Python AI Developer

- **Company:** Citi
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Microsoft Basic Data Partition, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Stores, Software Debugging, Django Web Framework, JSON, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Scrum Methodology, OpenAI, Cloud Services, Tensorflow, Software Engineering, SQL Databases, Unstructured Data, Web Application Frameworks, Workflow Management Systems, Enterprise Search, Pinecone, Data Processing, Google Cloud, Pytorch, LangChain, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, Model Validation, Software Troubleshooting, Llamaindex, Generative AI, Agentic-AI, Git, Fastapi, Scikit Learn, Kubernetes, Data Analytics, Weaviate, Machine Learning Operations, FAISS, Claude, Evaluation of Large Language Models, Api Design, Restful APIs, Semantic Kernel, GPT, Docker, Service Stack, ChromaDB, Databricks, Web Api
- **Published:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/180e059b-768a-4f2b-bc87-7f898f45483e

## About the Role

* 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI.
 * Strong programming experience with Python, REST APIs, JSON, and object-oriented programming.
 * Hands-on experience developing Generative AI applications using LLMs.
 * Strong understanding of LLMs, prompt engineering, embeddings, vector databases, RAG, and context management.
 * Experience with LangChain, LlamaIndex, Semantic Kernel, or equivalent LLM orchestration frameworks.
 * Experience with AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent.
 * Experience with vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, or Chroma.
 * Experience working with Azure/AWS/Google Cloud Platform AI and cloud services, preferably Azure OpenAI in an enterprise environment.
 * Good understanding of ML lifecycle, model evaluation, AI/LLM evaluation techniques, and MLOps concepts.
 * Experience with SQL, databases, data processing, and integration with enterprise data sources.
 * Understanding of AI security, responsible AI, data privacy, and governance.
 * Familiarity with Git, CI/CD, Docker, Kubernetes, and Agile/Scrum practices.
 * Strong analytical, problem-solving, communication, and collaboration skills.
 * Experience in Banking services or other regulated environments is a plus, 1) Databricks Certified Generative AI Engineer Associate
2) Google Cloud Professional Machine Learning Engineer
3) NVIDIA Certified Professional - Agentic AI (NCP-AAI)
4) AWS Certified AI Practitioner, * Minimum 7+ years of experience in software engineering or data analytics roles.

 * Strong programming skills in Python (mandatory)or Java
 * Proven experience in building API-based scalable solutions.
 * Hands-on experience with LLM integration and prompt engineering.
 * Familiarity with modern AI frameworks and orchestration tools.
 * Preferred Skills:
 * Exposure to Gen AI platforms and advanced AI model experimentation.
 * Strong understanding of data engineering principles.
 * Excellent communication and project management skills.

## Description

We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging modern technology stacks and Generative AI capabilities. You will collaborate closely with cross-functional teams to deliver innovative solutions that meet client requirements, timelines, and budgets., * Design and implement scalable software solutions using modern technology stacks. In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others depending on the specialization.

 * Develop and integrate APIs for Gen AI orchestration and data analytics workflows.
 * Integrate popular Large Language Models (LLMs) such as OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc., via API endpoints.
 * Apply prompt engineering techniques and implement LLM agents (e.g., LangChain).
 * Work with vector databases like Pinecone, Chroma, or FAISS for advanced AI solutions.
 * Conduct rapid experiments to evaluate new LLM versions and features.
 * Collaborate with Gen AI leads and other team members to deliver high-quality solutions.
 * Perform basic data engineering tasks to load structured and unstructured data from source systems to target data stores.
 * Debug and troubleshoot software or design issues effectively.