1 day ago
Noida, IndiaMid Level / Senior
Responsibilities
- Design and implement autonomous agents using LangChain, CrewAI, Semantic Kernel, AutoGen, and related frameworks.
- Develop and optimize retrieval-augmented generation systems for information retrieval and response generation.
- Create evaluation frameworks to test agent performance and safety.
- Implement monitoring and logging systems for agent behavior.
- Develop documentation and best practices for agent development.
- Contribute to improvements in agent architecture and capabilities.
Requirements
- 4 to 7 years of experience in GenAI and Agentic AI engineering.
- BE/BTech, MCA, MTech, or MBA qualification.
- Advanced Python programming, including asynchronous programming and API development.
- Experience building and deploying autonomous agents, RAG systems, LLM applications, and knowledge-retrieval systems.
- Experience with vector databases and embedding models.
- Proficiency in prompt engineering, LLM optimization, safety practices, and resolving hallucinations.
- Experience with development frameworks and tools, Git, CI/CD, and testing.
- Preferred experience with OpenAI, Anthropic, agent orchestration and workflow tools, NLP, Docker, Kubernetes, semantic search, information retrieval, and agent alignment and safety.
Benefits
- Inclusive benefits, flexibility programs, wellbeing support, and mentorship.
- Work location is at PwC locations across India; travel requirements are not specified.
Tech Stack
Categories
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.