Advanced Agentic AI Innovation Specialist

2 days ago


Bengaluru, Karnataka, India beBeeInnovation Full time ₹ 15,00,000 - ₹ 20,00,000
Agentic AI Innovation Role

We are looking for an exceptional Agentic AI Innovation Specialist who can design, develop and deploy intelligent systems using cutting-edge techniques and technologies. This critical role will involve creating advanced autonomous or semi-autonomous agents powered by Large Language Models (LLMs) that can perform sophisticated task planning, contextual decision-making, and iterative information retrieval.

Key Responsibilities
  • Design and Implement Robust Agentic Workflows: Develop and implement robust agentic workflows leveraging RAG pipelines, LLM agents, and external tool integrations to drive business outcomes.
  • Create Modular Systems: Design and create modular, agentic systems that seamlessly incorporate planning, memory, tool use, and context-aware reasoning capabilities to enhance productivity and efficiency.
  • Develop and Optimize Custom GPTs: Develop and fine-tune custom GPTs utilizing advanced prompt engineering and OpenAI's custom instructions, functions, and APIs to improve model performance and accuracy.
  • Integrate Knowledge Bases: Integrate diverse knowledge bases, vector stores (e.g., FAISS, Pinecone, Weaviate, Cosmos DB, ChromaDB), and APIs into a cohesive Agentic RAG architecture to support informed decision-making.
  • Fine-tune Agent Behaviors: Fine-tune agent behaviors for a variety of real-world applications, such as customer support, research assistants, and code agents to achieve desired outcomes.
  • Collaborate Cross-functionally: Collaborate closely with product managers, UX designers, and backend engineers to ship scalable and robust AI solutions that meet business needs.
  • Rapid Prototyping and Experimentation: Rapidly prototype ideas, conduct LLM experiments, and iterate on designs using both quantitative and qualitative metrics to drive innovation and improvement.
  • Monitor and Optimize Performance: Continuously monitor system performance, detect and address reasoning failures, hallucinations, and retrieval mismatches to ensure high-quality outputs and optimize system performance.
Required Skills and Qualifications
  • Experience: Proven experience in software engineering, ML systems, or applied NLP/LLM development is essential.
  • Agentic RAG Frameworks: Strong expertise in Agentic RAG frameworks such as LangGraph, AutoGPT, CrewAI, and LangChain Agents is required.
  • Custom GPTs and OpenAI API: Demonstrated ability to design and implement custom GPTs using advanced prompt strategies and the OpenAI API (functions, tools, memory) is necessary.
  • Vector Databases and Embeddings: Hands-on experience with vector databases (e.g., Cosmos DB, Pinecone, ChromaDB), embeddings, and semantic search is required.
  • Retrieval Augmentation: Deep understanding of retrieval augmentation, context compression, multi-hop querying, and memory management is essential.
  • Programming and LLM Tooling: Fluency in Python and experience with modern LLM tooling (e.g., LangChain, LlamaIndex) is required.
  • Systems Thinking: Strong systems thinking and the ability to effectively balance trade-offs between model performance, latency, and accuracy is necessary.
  • Agile Environment: Comfortable with fast-paced, iterative environments and exploratory development is essential.
Desired Skills
  • Autonomous Agents: Experience with autonomous agents and frameworks like AutoGen, OpenAgents, or BabyAGI is desirable.
  • AI Safety and Ethics: Understanding of AI safety, ethics, and control mechanisms in agentic systems is highly desirable.
  • LLM Evaluation: Familiarity with evaluation techniques for LLM pipelines (e.g., hallucination detection, prompt testing frameworks) is highly desirable.


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