Sr Gen (Generative) AI Developer

Title: Sr Gen (Generative) AI Developer Location: Austin, TX or Sunnyvale, CA (Dayone Onsite role) Duration: Long term Hourly pay rate: Contract Number of Position: 2 Description: We are seeking a Generative AI Developer to design, build, and implement advanced AI solutions leveraging large language models (LLMs), multi-modal AI, and agentic frameworks. The ideal candidate will combine deep technical expertise in AI/ML with strong software engineering skills to create intelligent, scalable, and secure GenAI applications that transform business operations and customer experiences. Experience: 12+ years of experience in consultant needed 5+ years of experience in AI/ML development, with at least 2+ years in Generative AI projects. Proven experience with Python, PyTorch/TensorFlow, transformers, and LangChain or similar frameworks. Experience deploying LLM-based solutions using RAG, vector databases, and prompt engineering. Familiarity with containerized environments (Docker/Kubernetes) and MLOps tools (MLflow, Vertex AI, SageMaker, or Azure AI Studio). Experience of agentic AI frameworks and multi-agent architectures. Experience in API integration, front-end development (React, Streamlit, or Flask) for AI applications. Understanding of cloud-native AI services (e.g., Azure OpenAI, Amazon Bedrock, Google Gemini). Strong grasp of data governance, AI ethics, and model evaluation metrics. Creative problem-solving and curiosity for emerging AI paradigms. Strong communication skills to translate complex AI concepts into business value. Collaborative mindset with experience working in cross-functional agile teams. . Key Responsibilities Model Development & Integration Fine-tune and customize foundation models (e.g., GPT, Claude, Gemini, Mistral, Llama) for enterprise use cases. Build generative pipelines for text, code, image, and multimodal AI applications. Develop and deploy agentic workflows leveraging frameworks such as LangChain, LlamaIndex, or custom orchestration layers. Solution Engineering Integrate GenAI capabilities into existing enterprise platforms (ERP, CRM, ITSM, etc.) through APIs and microservices. Develop retrieval-augmented generation (RAG) architectures using vector databases (e.g., Pinecone, FAISS, Milvus). Optimize inference performance, latency, and scalability on cloud and edge environments (AWS, Azure, GCP). ∙Innovation & Research Evaluate and prototype emerging GenAI technologies, open-weight models, and agentic AI frameworks. Collaborate with data scientists, MLOps engineers, and domain experts to convert ideas into production-grade solutions. Governance & Compliance Ensure adherence to AI ethics, data privacy, and security standards. oImplement guardrails, monitoring, and observability for responsible AI deployment. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Engineering, or related field