What are the responsibilities and job description for the AI/ML Developer (GenAI) position at Info Way Solutions?
Job Details
Job Title: AI/ML Developer (GenAI)
Location: Austin, TX (Onsite)
Experience: Minimum 8 years
Type: Contract
Job Description:
We are looking for a skilled AI/ML Developer specializing in Generative AI (GenAI) to join our team in Austin, TX. The ideal candidate will have strong expertise in AI safety, red-teaming techniques, prompt engineering, and LLM-based applications. The candidate should be familiar with automated red-teaming solutions and Retrieval-Augmented Generation (RAG) systems to ensure AI models function effectively and securely.
Key Responsibilities:
- GenAI Red-Teaming: Conduct adversarial testing of AI models, evaluating their vulnerabilities and identifying failure modes.
- Prompt Engineering: Develop, refine, and optimize prompts to improve the accuracy and reliability of LLM-generated responses.
- Automated Red-Teaming Solutions: Utilize tools like PyRIT, Garak, Giskard, or similar frameworks to simulate adversarial attacks and enhance model robustness.
- LLM & RAG System Development: Design and fine-tune large language model (LLM) applications and retrieval-augmented generation (RAG) pipelines to enhance knowledge retrieval and response generation.
- Security & Bias Mitigation: Identify biases, safety risks, and ethical concerns in AI systems, implementing solutions to mitigate them.
- Model Performance Evaluation: Develop benchmarks and evaluation metrics to measure AI model performance, security, and effectiveness.
- Collaboration & Deployment: Work closely with AI researchers, software engineers, and security teams to integrate GenAI solutions into production environments.
Required Skills & Experience:
- 8 years of experience in AI/ML development, with at least 3 years in Generative AI.
- Strong expertise in Prompt Engineering and LLM fine-tuning.
- Hands-on experience with automated AI red-teaming tools like PyRIT, Garak, Giskard, etc.
- Proficiency in LLM-based applications, NLP techniques, and transformer-based models (GPT, LLaMA, Falcon, etc.).
- Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases (FAISS, Pinecone, Weaviate), and embedding models.
- Proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex.
- Familiarity with cloud-based AI solutions (AWS Sagemaker, Azure OpenAI, Google Vertex AI, etc.).
- Experience in model evaluation, bias detection, and AI security best practices.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
