MSD
Hyderabad, Telangana, India Posted 4d ago
MSD is seeking an AI Engineer to drive the end-to-end development of GenAI applications, including prompt engineering, fine-tuning, RAG pipelines, and LLM-based workflows, ensuring high standards of performance and scalability.
Key Responsibilities
Implement Agentic AI systems leveraging frameworks such as LangChain, Google ADK, Strands, and Semantic Kernel.
Apply advanced prompt engineering techniques to improve accuracy and robustness of LLM systems.
Build multimodal AI solutions, integrating text with images or structured data to support enterprise use cases.
Apply harness engineering practices to systematically design, test, and evaluate AI workflows.
Develop reusable agent tooling and integrations, including Model Context Protocol and Agent-to-Agent communication.
Collaborate with stakeholders to translate business problems into scalable GenAI-driven solutions.
Leverage modern AI developer tooling such as Claude CLI, GitHub Copilot, and Vertex AI.
Support deployment and operationalization of AI solutions using AWS and GCP clouds.
Requirements
Masters in a relevant quantitative, applied field such as Statistics, Econometrics, Computer Science, Mathematics, or Engineering.
Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production.
Expertise in RAG architectures, including embedding generation, retrieval optimization, and context management.
Experience in prompt engineering techniques and AgentOps practices.
Strong Python programming skills with experience in tooling and function-calling.
Solid expertise in NLP and text processing.
Preferred Qualifications
Exposure to multimodal AI systems involving text, vision, or structured data fusion.
Familiarity with LLM evaluation techniques, synthetic test generation, and prompt regression testing.
Hands-on experience with TensorFlow or PyTorch for custom model development.
Exposure to LLMOps/MLOps practices for deployment and monitoring.
