Specialist - AI Engineering
Workowon
Hyderabad, Telangana, India
About The Job
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
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.
Skills
PythonRAG ArchitecturesLangChainNLPMachine LearningPyTorch
Benefits
- Wellness programs
- Visa / relocation support