Gen AI Developer

Role: Gen AI Engineer

Location: Austin, TX

Job Description:

We are seeking a talented and innovative GenAI Developer with specialized experience in Large Language Models (LLMs) and Chatbot development. The ideal candidate will have hands-on experience with LLM-based applications, including prompt engineering, reinforcement learning, data classification, and workflow design. This role requires a deep understanding of natural language processing (NLP), machine learning, and the ability to build intelligent and interactive conversational agents.

Key Responsibilities:

• Chatbot Development: Design, develop, and deploy sophisticated chatbots and virtual assistants using Large Language Models (LLMs) like GPT, BERT, or similar frameworks.
• Prompt Engineering: Create, optimize, and fine-tune prompts to achieve desired outcomes in LLM-based applications, enhancing model performance and response accuracy.
• Reinforcement Learning: Implement reinforcement learning techniques to improve LLM-based systems, enabling adaptive learning and better decision-making.
• Data Classification: Develop and apply data classification algorithms using LLMs to categorize and structure large volumes of text data, ensuring accurate data processing and analysis.
• Workflow Design: Design and implement workflows that integrate LLMs into various business processes, enhancing automation and efficiency.
• NLP and Machine Learning: Utilize advanced NLP techniques and machine learning algorithms to improve the functionality and capabilities of LLM-based applications.
• Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI-driven solutions.
• Testing and Evaluation: Conduct rigorous testing, validation, and evaluation of LLM-based models to ensure accuracy, reliability, and scalability.
• Documentation: Maintain comprehensive documentation of models, processes, and workflows, ensuring transparency and ease of knowledge transfer.
• Continuous Learning: Stay updated on the latest advancements in LLMs, NLP, and AI, and apply this knowledge to continuously improve and innovate within the role.

Required Qualifications:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience in developing chatbots and conversational AI using LLMs.
• Strong expertise in prompt engineering and optimization for LLM-based applications.
• Experience with reinforcement learning techniques and their application in LLMs.
• Proficiency in data classification methods using LLMs and NLP techniques.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Strong programming skills in Python, JavaScript, or other relevant languages.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.”