On-Site
Full-Time
Bengaluru, Karnataka
India
Skills
Artificial Intelligence (AI)
Generative AI
About the Role
About the Role:
We at Prospelloai are seeking an innovative Founding Generative AI Engineer to spearhead the development of next-generation agentic AI products. This role involves designing multi-agent architectures, implementing Retrieval-Augmented Generation (RAG) frameworks, and addressing challenges like hallucination mitigation and complex prompt engineering. Your work will be pivotal in creating autonomous AI agents capable of sophisticated reasoning and real-time data integration.
Key Responsibilities
Design Multi-Agent Architectures: Develop and optimize systems where specialized agents
collaborate to handle diverse data sources, enhancing efficiency and accuracy.
Implement Agentic RAG Frameworks: Integrate autonomous agents into RAG pipelines to
enable dynamic retrieval strategies and iterative context refinement.
Mitigate LLM Hallucinations: Employ techniques like Corrective RAG to assess and
improve the relevance of retrieved documents, reducing the risk of generating inaccurate
information.
Advance Prompt Engineering: Utilize methods such as Chain-of-Thought prompting to
enhance the reasoning capabilities of language modes.
Fine-Tune Language Models: Customize pre-trained models to align with specific tasks and
domains, improving performance and reliability.
Develop Web Crawling Solutions: Create systems to extract and process data from various
web sources, ensuring up-to-date information for AI agents.
Integrate AI with MCP Systems: Collaborate with cross-functional teams to embed AI
capabilities into Model-Driven Control Platforms (MCP), enhancing decision-making process.
Required Skills
Programming Languages: Proficiency in Python and experience with AI frameworks like
Langchain, Langraph, PyDantic AI, etc.
RAG Implementation: Hands-on experience with Retrieval-Augmented Generation
frameworks and vector databases.- Prompt Engineering Familiarity with advanced prompting techniques to guide LLM behavior
effectively.
Web Crawling: Knowledge of tools and libraries for web data extraction and processing.
AI Integration: Understanding of integrating AI solutions into existing platforms and
workflows.
AI Deployment: Hands-on experience in deploying AI models on any cloud platform.
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields.
Experience: 2–3 years in AI product development, with a focus on language models and
multi-agent systems.
Preferred Qualifications
Startup Experience: Being a part of startup as a founding member.
Open-Source Projects: Active participation in open-source AI projects or communities.
Cloud Platforms: Experience with deploying AI solutions on cloud platforms like AWS,
Azure, GCP.
Why Join Us?
Innovative Projects: Work on cutting-edge AI Agents that shape the future of autonomous systems.
Professional Growth: Opportunities for continuous learning and career advancement in early stage startup.
Flexible Work Arrangements: Benefit from a hybrid work model that promotes work-life balance.
We at Prospelloai are seeking an innovative Founding Generative AI Engineer to spearhead the development of next-generation agentic AI products. This role involves designing multi-agent architectures, implementing Retrieval-Augmented Generation (RAG) frameworks, and addressing challenges like hallucination mitigation and complex prompt engineering. Your work will be pivotal in creating autonomous AI agents capable of sophisticated reasoning and real-time data integration.
Key Responsibilities
Design Multi-Agent Architectures: Develop and optimize systems where specialized agents
collaborate to handle diverse data sources, enhancing efficiency and accuracy.
Implement Agentic RAG Frameworks: Integrate autonomous agents into RAG pipelines to
enable dynamic retrieval strategies and iterative context refinement.
Mitigate LLM Hallucinations: Employ techniques like Corrective RAG to assess and
improve the relevance of retrieved documents, reducing the risk of generating inaccurate
information.
Advance Prompt Engineering: Utilize methods such as Chain-of-Thought prompting to
enhance the reasoning capabilities of language modes.
Fine-Tune Language Models: Customize pre-trained models to align with specific tasks and
domains, improving performance and reliability.
Develop Web Crawling Solutions: Create systems to extract and process data from various
web sources, ensuring up-to-date information for AI agents.
Integrate AI with MCP Systems: Collaborate with cross-functional teams to embed AI
capabilities into Model-Driven Control Platforms (MCP), enhancing decision-making process.
Required Skills
Programming Languages: Proficiency in Python and experience with AI frameworks like
Langchain, Langraph, PyDantic AI, etc.
RAG Implementation: Hands-on experience with Retrieval-Augmented Generation
frameworks and vector databases.- Prompt Engineering Familiarity with advanced prompting techniques to guide LLM behavior
effectively.
Web Crawling: Knowledge of tools and libraries for web data extraction and processing.
AI Integration: Understanding of integrating AI solutions into existing platforms and
workflows.
AI Deployment: Hands-on experience in deploying AI models on any cloud platform.
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields.
Experience: 2–3 years in AI product development, with a focus on language models and
multi-agent systems.
Preferred Qualifications
Startup Experience: Being a part of startup as a founding member.
Open-Source Projects: Active participation in open-source AI projects or communities.
Cloud Platforms: Experience with deploying AI solutions on cloud platforms like AWS,
Azure, GCP.
Why Join Us?
Innovative Projects: Work on cutting-edge AI Agents that shape the future of autonomous systems.
Professional Growth: Opportunities for continuous learning and career advancement in early stage startup.
Flexible Work Arrangements: Benefit from a hybrid work model that promotes work-life balance.