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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India • On-site
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Design and implement autonomous agents and RAG systems using frameworks like LangChain and Crew.ai. Develop evaluation frameworks and monitoring systems to ensure agent performance, safety, and the reduction of hallucinations.
Requires 1-3 years of experience with advanced Python, LLM APIs, and vector databases. A degree in BE, BTech, MCA, MTech, or MBA is required.
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks
Develop and optimize RAG systems for improved information retrieval and response generation
Create robust evaluation frameworks for testing agent performance and safety
Implement monitoring and logging systems for agent behavior
Develop documentation and best practices for agent development
Contribute to the improvement of agent architecture and capabilities
Hands-on experience with:
Building and deploying autonomous agents
LangChain framework for developing applications
Retrieval Augmented Generation (RAG) systems
Large Language Models (LLMs) and their APIs
Solid understanding of safety principles and best practices
Resolving hallucinations in the outcomes
Mandatory Skill sets:
Advanced Python programming with expertise in async programming and API developmenT
Experience with vector databases and embedding models
Proficiency in implementing RAG pipelines and knowledge retrieval systems
Familiarity with prompt engineering and LLM optimization techniques
Experience with development frameworks and tools
Knowledge of modern software development practices (Git, CI/CD, testing)
Preferred Skill sets:
Multiple LLM providers (OpenAI, Anthropic, etc.)
Tools for agent orchestration and workflow management
Natural Language Processing (NLP) techniques
Container technologies (Docker, Kubernetes)
Understanding of semantic search and information retrieval concepts
Knowledge of agent alignment and safety considerations
Years of experience required:
1+yrs to 3+yrs
Education qualification-Full Time:
BE/Btech/MCA/Mtech/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Desired Languages (If blank, desired languages not specified)
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com. PwC: Audit and assurance, consulting and tax services PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
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