Key Responsibilities :

- Design and develop AI-powered applications using LLMs, multimodal models, and AI agents.

- Build intelligent workflows using prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and orchestration frameworks.

- Collaborate with product, design, and engineering teams to create engaging AI experiences.

- Fine-tune prompts and optimize model performance for accuracy, creativity, and cost efficiency.

- Develop APIs and backend services to integrate AI capabilities into web and mobile applications.

- Evaluate emerging AI models, tools, and frameworks, and recommend best-fit solutions.

- Implement responsible AI practices, including safety, privacy, and bias mitigation.

- Monitor application performance and continuously improve user experience through experimentation and analytics.

Required Skills :

- 26 years of software development experience with at least 1 year in Generative AI.

- Strong programming skills in Python and experience with REST APIs.

- Hands-on experience with OpenAI, Anthropic, Gemini, or other LLM platforms.

- Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar orchestration frameworks.

- Knowledge of RAG pipelines, embeddings, vector databases (Pinecone, Weaviate, Chroma, or FAISS), and prompt engineering.

- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

- Understanding of AI evaluation, model monitoring, and deployment best practices.

- Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications :

- Experience building AI copilots, conversational assistants, or autonomous AI agents.

- Exposure to multimodal AI, image/video generation, or voice AI solutions.

- Knowledge of MLOps, Docker, Kubernetes, and CI/CD pipelines.

- Contributions to open-source AI projects or participation in AI hackathons are a plus.