4 days ago
Noida, IndiaEntry Level / Mid Level
Responsibilities
- Design and implement autonomous agents using LangChain, Crew.ai, 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.
- Improve agent architecture and capabilities.
- Build and deploy autonomous agents, resolve hallucinations, and apply AI safety principles.
Requirements
- Advanced Python programming, including asynchronous programming and API development.
- Hands-on experience building and deploying autonomous agents, LangChain applications, RAG systems, LLMs and their APIs.
- Experience with vector databases, embedding models, RAG pipelines, knowledge retrieval, prompt engineering, and LLM optimization.
- Knowledge of modern software development practices, Git, CI/CD, and testing.
- Required skill: Pega BPM.
- Preferred experience with OpenAI, Anthropic, agent orchestration and workflow management tools, NLP techniques, Docker, Kubernetes, semantic search, information retrieval, and agent alignment and safety.
- 1+ to 3+ years of experience.
- Full-time BE/BTech, MCA, MTech, or MBA qualification.
Benefits
- PwC offers inclusive benefits, flexibility programs, mentorship, wellbeing support, and a collaborative environment.
- The role is based in Noida, India; travel requirements are not specified.
- Work visa sponsorship is not available.
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.