Generative AI Engineer with NLP or LangGraph Experience

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, Requirement -1 Generative AI Engineer with NLP experience Plano, TX- Fully Onsite from Day-1 Interview Mode:-Phone & Face to face Rate Range $40 to $46 hr W2 All Inc Job Description- • Programming Languages: Advanced proficiency in Python (preferred) and/or R; experience with Jupyter notebooks. • NLP Libraries & Frameworks: Strong hands-on experience with NLTK, spaCy, Gensim, Hugging Face Transformers, and Scikit-learn. • Text Preprocessing: Expertise in processing noisy, unstructured text from various data sources • Domain-Specific NLP: Familiarity with entity recognition, intent detection, and text classification • Machine Learning: Solid foundation in supervised and unsupervised learning, with applications to telecom problems (e.g., anomaly detection, predictive maintenance, customer segmentation). • Deep Learning for NLP: Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) for advanced NLP tasks (LSTM, Transformers, BERT, GPT). • Data Handling: Proficient in handling large-scale, high-velocity telecom datasets; experience with distributed data processing (Spark, Hadoop) is a plus. • Evaluation: Design and interpret experiments to evaluate NLP models, including error analysis and business impact assessment. • Statistical Analysis: Strong understanding of statistics and probability as applied to telecom service quality and customer experience. • Azure experience preferred. Requirement -2 Generative AI Engineer with LangGraph experience Plano, TX- Fully Onsite from Day-1 Core Technical Skills: • Python Programming: Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design. • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks. • Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. • Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs. • Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph. • API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows. • Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar. • Ability to develop workflow automation via an agentic framework. • Azure experience preferred. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.