Req ID: 364403

We are currently seeking a Python Gen AI Developer- Hybrid/Client Site to join our team in Irving, Texas (US-TX), United States (US).

Python GenAI Developer

Role Overview

We are seeking an experienced Python GenAI Developer to design, develop, and implement generative AI and machine learning solutions that support business and technology objectives. The ideal candidate will have strong Python development skills, hands-on experience with Generative AI/LLMs, and experience building AI-powered applications using modern frameworks, APIs, databases, and cloud technologies.

The successful candidate will work closely with engineering, product, and leadership teams throughout the solution lifecycle-from functional and technical design through prototyping, development, testing, deployment, and ongoing optimization.

Key Responsibilities

• Design, develop, test, and optimize Generative AI and machine learning solutions using Python and modern AI/ML frameworks.
• Develop and integrate LLM-based applications, including conversational AI, retrieval-augmented generation (RAG), embeddings, and vector-based search solutions.
• Work with frameworks and technologies such as LangChain, vector databases, embeddings, and related GenAI platforms.
• Build production-ready AI applications and services using Python web frameworks such as FastAPI, Flask, or Django.
• Integrate AI/ML solutions into enterprise applications through APIs, microservices, and cloud-based platforms.
• Apply machine learning techniques using frameworks such as scikit-learn, TensorFlow, PyTorch, or JAX.
• Develop and optimize machine learning models, including understanding of LLMs, GANs, VAEs, and other generative AI architectures.
• Select and prepare appropriate datasets and determine effective data representation and preprocessing approaches.
• Perform model testing, statistical analysis, evaluation, tuning, and retraining to improve performance and reliability.
• Extend or integrate existing machine learning libraries, frameworks, and AI services to meet project requirements.
• Work with Neo4j and MongoDB to support AI/ML applications, knowledge graphs, and data-driven solutions.
• Deploy and integrate AI solutions within cloud environments, with a focus on Google Cloud Platform (GCP).
• Collaborate with engineering and leadership teams on functional design, technical design, prototyping, development, testing, deployment, and user training.
• Participate in Agile/Scrum ceremonies and contribute to estimation, sprint planning, backlog refinement, demonstrations, and retrospectives.
• Stay current with emerging Generative AI, machine learning, LLM, and AI application development technologies and recommend opportunities to incorporate them into the organization's AI strategy.

Required Skills & Experience

• 5+ years of overall software development or technology experience.
• 3+ years of hands-on Python development experience, including libraries such as NumPy and Pandas.
• 2+ years of hands-on experience with Generative AI and/or LLM technologies, including a solid understanding of underlying concepts and architectures.
• Strong experience developing AI/ML applications and solutions using Python.
• Hands-on experience with LangChain, embeddings, vector databases, RAG, or related GenAI frameworks and technologies.
• Experience with FastAPI, Flask, Django, or another Python-based web development framework.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or JAX.
• Strong experience with MongoDB and Neo4j.
• Experience integrating AI/ML capabilities into applications using REST APIs, microservices, and cloud services.
• Working knowledge of Google Cloud Platform (GCP) and cloud-based AI/ML services.
• Experience working in an Agile/Scrum development environment.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and collaboration skills, with the ability to work effectively with both technical and business stakeholders.

Preferred / Nice-to-Have Skills

• Experience developing conversational AI, chatbots, virtual assistants, or IVR solutions.
• Experience working within the banking or financial services industry.
• Experience with enterprise-scale Generative AI implementations.
• Knowledge of knowledge graphs and graph-based AI applications using Neo4j.
• Experience with cloud-based MLOps, model deployment, monitoring, and lifecycle management.
• Familiarity with emerging LLM platforms, AI agents, prompt engineering, and RAG architectures.

Pay Transparency

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $75,168-$113,600. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use [redacted].com and [redacted].nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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