Description :

Role Summary :

We are seeking a highly skilled Gen AI Developer Specialist with extensive experience in building, deploying, and scaling production-grade Generative AI applications leveraging Large Language Models (LLMs), vector databases, and cloud AI platforms.

The ideal candidate will have hands-on expertise in implementing real-world AI solutions that solve complex business challenges while adhering to ethical AI practices.

You will lead the end-to-end design, development, and deployment of scalable GenAI systems, working closely with cross-functional teams to drive innovation and operational excellence.

Key Responsibilities :

- Architect and develop GenAI applications using state-of-the-art LLMs such as OpenAI GPT, Claude, LLaMA, and other transformer-based models.

- Build Retrieval-Augmented Generation (RAG) pipelines integrating vector search with knowledge bases.

- Implement multimodal AI use cases combining text, images, audio, and video data.

- Develop agent-based AI workflows for autonomous task execution and decision-making.

- Identify AI-driven business opportunities and design cost-effective AI solutions.

- Optimize model usage, API calls, and infrastructure costs without compromising performance.

- Apply responsible AI principles to ensure fairness, transparency, and ethical use.

- Implement safeguards against prompt injection, jailbreaking, and other security threats.

- Design Human-in-the-Loop (HITL) systems for supervised AI outputs and continuous improvement.

- Process and analyze real-time voice and text inputs, including chunking, parsing, and conversion for downstream AI models.

- Deploy and manage scalable GenAI applications on Azure AI Studio, AWS Bedrock, or similar cloud platforms.

- Work with DevOps and cloud engineering teams to implement CI/CD pipelines, monitoring, and automated scaling.

- Collaborate with data scientists, software engineers, product managers, and stakeholders to deliver AI-powered features.

- Mentor junior developers and promote best practices in GenAI development and deployment.

Required Skills & Experience :

- Proven experience with Azure OpenAI Service and/or AWS Bedrock platforms for AI application development.

- Strong expertise in Python programming, with frameworks such as FastAPI, LangChain, or equivalent for building AI-powered APIs and pipelines.

- Hands-on experience with vector databases like FAISS, Pinecone, or Weaviate for embedding-based search and retrieval.

- Deep understanding of Retrieval-Augmented Generation (RAG) techniques and implementation.

- Familiarity with prompt engineering and prompt safety best practices to secure AI models.

- Experience building and deploying production-grade AI applications with scalable architecture.

- Knowledge of responsible AI principles, bias mitigation, and AI ethics.

- Expertise in handling real-time data ingestion, chunking, and pre-processing for AI workflows.

- Strong problem-solving skills and ability to communicate complex AI concepts to technical and non-technical audiences