Design, develop, and deploy scalable software solutions leveraging modern architectures and cloud platforms.
Build and implement Agentic AI systems (LLM-based autonomous agents, multi-agent frameworks, orchestration workflows) to automate complex business processes.
Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
Experience with traditional ML (classification, regression, NLP, time-series)
Develop and maintain data engineering pipelines (ETL/ELT) for structured and unstructured data across enterprise systems.
Integrate AI models (LLMs, NLP, GenAI) into applications using tools such as Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks.
Architect data platforms supporting real-time and batch processing using technologies like Spark, Databricks, or cloud-native services.
Collaborate with cross-functional teams to deliver client demos, POCs, and production-ready solutions.
Ensure data quality, governance, and security across all data workflows.
Optimize system performance, reliability, and scalability across AI and data components.
Key Skills & Experience
Strong experience in software development (Python 6+ yrs).
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
