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Mid-level AI Engineer supporting an IC Customer on mission driven applications.
Develop robust, maintainable, and scalable software applications and AI solutions
Design and build AI/ML applications and systems leveraging generative AI, deep learning, neural networks, chatbots, and image processing, integrating cloud or on‑prem pipelines for production readiness.
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Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.
Lead AI-driven solution design and delivery by applying Generative and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows.
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 3, 2026
Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 3, 2026
Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.
Company Description Indotronix International Corporation, a 25 + years old organization providing Contract Staff Augmentation to direct clients like ATOS, Xerox, Accenture, Cap Gemini, Verizon to list a few. Job Description Job Title: Python Developer Duration: 12 months Job Location: Addison, TX Must have 10+ years of experience and be willing to work on a W-2 basis Required Skills • In-depth understanding of Core Python, OOP principles, multi-threading, concurrency, and memory management. • Web Frameworks: Strong experience building production-level APIs using Fast API, Flask, or Django. • AI/ML Tooling Hands-on experience with modern Generative AI frameworks, vector stores (e.g., Pinecone, Milvus), Jupyter, and VS Code-based remote environments. • Data & Storage: Solid proficiency in SQL/NoSQL databases, Apache Spark, data pipeline optimization, and complex data-set manipulation. • DevOps & Containers: Familiarity with Docker, Kubernetes, virtual environments (venv/conda), and Git version control workflows. Qualifications Must have 10+ years of experience and be willing to work on a W2 basis Additional Information All your information will be kept confidential according to EEO guidelines.