Generative AI Application Developer

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Job Responsibilities

The Generative AI Application Developer role primarily focus on defining requirements and designing solutions for artificial intelligence and machine learning applications with a specific emphasis on generative AI.. This position will actively engage with project teams to strategize, establish, and execute comprehensive requirements gathering and management processes tailored for AI/ML projects.

Education

Graduate or master’s in computer science or engineering with 5 to 7 years of experience

Experience/Qualifications

Required Technical Skills/Education:

• Generative AI Models: Proven experience with generative models such as Generative Pretrained Models (GPTs), Generative Adversarial Networks (GANs) Variational Autoencoders (VAEs), and Diffusion Models.
• Libraries: Knowledge of libraries such as Langchain, Langgarph, Llamaindex, Autogen, openai etc is crucial for implementing machine learning algorithms and generative AI solutions.
• Prompt engineering – Conversant with prompt engineering techniques like Chain of Thoughts, few-shot prompting, tree of thoughts, Reflections etc.
• Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Generative AI Techniques: Experience with techniques such as image generation, text generation, and style transfer.
• Model Evaluation: Experience with model evaluation techniques such as Inception Score (IS), Fréchet Inception Distance (FID), and BLEU score for generative models.
• Coding Experience: Strong coding experience in Python, with extensive use of libraries like PyTorch, TensorFlow, and Keras.
• Communication Skills: Fluent in English (both written and spoken), with solid technical writing, presentation, and communication skills.

Preferred Technical Skills/Education:

• Generative AI Projects: Hands-on experience with implementing and deploying generative AI models in real-world applications.
• Cloud Deployments: Experience with AWS and Azure deployments for machine learning workflows, including the use of services like AWS SageMaker and Azure Machine Learning.
• Large Language Models: Familiarity with large language models (LLMs) such as GPT-3.4/4, Llama3.1 etc and their application int.

Additional Comments

This candidate must be highly motivated, organized, self-driven, and able to function in a global team environment (USA, China, India, and Europe) and demonstrate problem solving and analytical thinking skills

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.