Expertise in Python, LLM integration, and GenAI development workflows
Strong knowledge of prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains
Strong working experience in Agentic AI and Open AI.
Hands-on experience with agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents
Proven experience in leading LLM/GenAI projects from Proof-of-Concept to Production
Deep understanding of modern data workflows - ingestion, transformation, cataloguing, validation, and analytics
Ability to work collaboratively across engineering, product, and governance teams
Experience with enterprise data products, MLOps, or DataOps platforms
Familiarity with governance workflows and metadata-driven automation
Exposure to cognitive architectures or agent simulation environments
Excellent communication and collaboration skills.
RESPONSIBILITIES:
Understanding the client s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the client s requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
Understanding and relating technology integration scenarios and applying these learnings in projects
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Bachelor s or master s degree in computer science, Information Technology, or a related field.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full time