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Agentic AI Developer
Agentic AI DeveloperR Systems • Bangalore, IN
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Agentic AI Developer

Agentic AI Developer

R Systems • Bangalore, IN
8 days ago
Job description
  • Job Description :
  • We are seeking a highly skilled and motivated Agentic AI Developer to join our dynamic team. This role is perfect for individuals who are passionate about artificial intelligence and have a strong technical background in developing innovative AI solutions. As an Agentic AI Developer, you will be responsible for building, deploying, and maintaining advanced AI models and applications that leverage the latest technologies.

    • Key Responsibilities :
    • Design and develop Agentic AI solutions using state-of-the-art AI technologies and frameworks.
    • Work on prompt engineering and optimize inputs for maximum AI model performance.
    • Integrate and manage Azure Cloud services to deploy AI applications effectively.
    • Utilize Azure OpenAI and GPT models for developing AI capabilities.
    • Implement Semantic Kernel and vector indexing techniques for improved data management.
    • Integrate and maintain large language models (LLMs) within existing platforms.
    • Develop YAML configurations for seamless application deployment and management.
    • Design reasoning chains and skillsets for enhanced AI decision-making processes.
    • Apply orchestration patterns for efficient AI workflow management.
    • Utilize Azure AI Search for implementing robust AI-powered search solutions.
    • Work with embeddings to improve the contextual understanding of AI models.
    • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
    • Required Skills :
    • Proven experience in developing with Agentic AI frameworks.
    • Strong knowledge of prompt engineering techniques.
    • Expertise in Azure Cloud and relevant AI services.
    • Proficiency in Python for AI development.
    • Familiarity with Azure OpenAI, GPT models, and related technologies.
    • Experience with Semantic Kernel and vector indexing methods.
    • Competence in integrating large language models (LLM) into applications.
    • Ability to manage YAML configs for application settings and deployments.
    • Understanding of reasoning chains, skillsets, and orchestration patterns.
    • Experience with Azure AI Search and AI embeddings.
    • Strong analytical and problem-solving skills.
    • Excellent communication and collaboration abilities.
    • Qualifications :
    • Bachelor’s degree in computer science, Engineering, or a related field.
    • 3-5 years of experience in AI development, with a focus on Agentic AI technologies.
    • A portfolio showcasing relevant projects or contributions is a plus.
    • What We Offer :
    • Competitive salary and benefits package.
    • Opportunity to work on cutting-edge AI technologies.
    • A collaborative and innovative work environment.
    • Continuous learning and professional development opportunities.
    • If you are eager to push the boundaries of artificial intelligence and contribute to meaningful projects, we would love to hear from you. Apply now to join our team as an Agentic AI Developer!

      Mandatory Skills

      Agentic Ai, Prompt Engineering, Azure Cloud, Python, Azure open AI, GPT Models, Semantic Kernel, Vector indexing, LLM integration, YAML config, reasoning chains, skillsets, orchestration patterns, Azure AI Search, embeddings,

      Roles & Responsibilities

    • Job Title : Agentic AI Developer
    • Location : Noida, Uttar Pradesh, India
    • Experience Required : 3 to 5 years
    • Roles and Responsibilities :
    • 1.

    • Develop and Implement Agentic AI Solutions :
    • Design, develop, and optimize Agentic AI applications using various AI models and tools.
    • Collaborate with cross-functional teams to deploy and integrate Agentic AI solutions effectively within existing systems.
    • 2.

    • Prompt Engineering :
    • Create and refine prompts for interacting with various AI models, ensuring optimal responses and engagement.
    • Experiment with different prompt strategies to enhance the performance and accuracy of AI outputs.
    • 3.

    • Azure Cloud Management :
    • Leverage Azure Cloud services for deploying and managing AI applications, ensuring secure and efficient orchestration of resources.
    • Utilize Azure AI Search features to improve data accessibility and response times within AI-driven applications.
    • 4.

    • Programming and API Development :
    • Write high-quality, maintainable Python code to develop AI functionalities and integrate with third-party APIs.
    • Implement encapsulations and abstractions that allow for easy modifications and scalability of AI applications.
    • 5.

    • Modeling and Integration :
    • Work with GPT models to refine and enhance capabilities, focusing on semantic understanding and context awareness.
    • Integrate Large Language Models (LLMs) with applications while ensuring smooth operation and performance optimization.
    • 6.

    • Semantic Kernel and Vector Indexing :
    • Use Semantic Kernel techniques to provide meaning and context to AI responses.
    • Implement vector indexing to optimize the retrieval processes and enhance the efficiency of large datasets.
    • 7.

    • Configuration Management :
    • Develop and manage YAML configuration files for AI component setups, ensuring reproducibility and consistency.
    • Maintain clear documentation regarding configuration settings and deployment processes.
    • 8.

    • Reasoning Chains and Orchestration Patterns :
    • Design and implement reasoning chains to enable complex decision-making processes within AI applications.
    • Utilize orchestration patterns to streamline workflows and maintain coherence in multi-component AI systems.
    • 9.

    • Skillset Development and Team Collaboration :
    • Collaborate with team members to share knowledge and improve methodologies within the AI development process.
    • Stay updated with the latest advancements in Agentic AI and contribute to continuous learning initiatives within the organization.
    • 10.

    • Performance Monitoring and Troubleshooting :
    • Monitor and evaluate the performance of AI applications, conducting regular testing and debugging to ensure reliability.
    • Proactively identify and resolve issues encountered during development and deployment.
    • Qualifications :
    • Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field.
    • Minimum of 3 years and a maximum of 5 years of relevant experience in AI development, specifically with Agentic AI technologies.
    • Skills Required :
    • Strong experience in Agentic AI, Prompt Engineering, and Python.
    • Proficiency in Azure Cloud, Azure OpenAI services, and Azure AI Search.
    • Familiarity with GPT Models, Semantic Kernel, Vector indexing, and LLM integration.
    • Knowledge of YAML configuration, reasoning chains, skillsets, and orchestration patterns.
    • Ability to work in a team-oriented environment and contribute to innovative AI solutions.
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