Quick Summary
- Design and develop production-ready AI applications using Python and LLM frameworks.- Implement and optimize RAG systems to enhance LLM capabilities with external knowledge sources.
15 years full time educationSummary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact.
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that project goals are met, facilitating communication between stakeholders, and guiding your team through the development process. You will also be responsible for addressing any challenges that arise, ensuring that solutions are implemented effectively and efficiently, and maintaining a focus on quality and performance throughout the project lifecycle. Your role will require a balance of technical expertise and leadership skills to drive the team towards successful outcomes.
Roles & Responsibilities:
- Design and develop production-ready AI applications using Python and LLM frameworks.
- Implement and optimize RAG systems to enhance LLM capabilities with external knowledge sources.
- Build complex reasoning chains and agent workflows using LangChain and LangGraph.
- Create and maintain vector databases for efficient information retrieval.
- Develop custom tools and functions to extend LLM capabilities.
- Optimize prompt engineering strategies for improved model performance.
- Implement evaluation frameworks to measure and improve system performance.
- Collaborate with cross-functional teams to integrate AI solutions into existing products.
- Stay current with the latest advancements in LLM technologies and implementation strategies.
- Document code, architectures, and processes for knowledge sharing.
Preferred Qualifications:
- Experience implementing complex workflows with Lang Graph.
- Knowledge of prompt engineering techniques and best practices.
- Familiarity with different embedding models and their applications.
- Understanding of semantic search and information retrieval concepts.
- Experience with streaming architectures for real-time AI applications.
- Contributions to open-source LLM tooling or frameworks.
Professional & Technical Skills:
- Programming Languages: Python (required), JavaScript/TypeScript (beneficial)
- LLM Frameworks: LangChain, LangGraph, LlamaIndex.
- Vector Databases: Weaviate, Chroma, FAISS, or similar.
- Cloud Services: Experience with AI services on major cloud platforms.
- API Development: FastAPI, Flask, or similar frameworks.
Additional Information:
- The candidate should have minimum 5 years of experience in Python (Programming Language).
- This position is based at our Mumbai office.
- A 15 years full time education is required.
15 years full time education
Visit us at www.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
Listing Details
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 29, 2026
Signal breakdown
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