Senior AI Architect

Job Summary:

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• We are seeking a highly skilled Senior Agentic AI Engineer to drive key technical decisions and shape the evolution of our cutting-edge agentic AI platform.">
• You will take ownership of the full lifecycle of our innovative solutions, from architectural design and implementation to successful deployment and ongoing optimization in a production environment.">

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• Agentic AI Application Development:">
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  • Design, develop, and implement agentic AI applications using Python and relevant frameworks.">
  • Architect and build robust and scalable backend systems.">
  • Integrate and manage interactions with various Large Language Models (LLMs) through APIs and other interfaces.">
  • Utilize and optimize vector databases for efficient information retrieval and knowledge management within AI agents.">
  • Develop and implement sophisticated agentic workflows using frameworks like Autogen, AG2, Lang graph, Agno, or CrewAI.">
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• Collaboration and Communication:">
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  • Collaborate effectively with cross-functional teams, including product managers, researchers, and other engineers.">
  • Write clean, well-documented, and testable code following best practices.">
  • Stay up-to-date with the latest advancements in AI, LLMs, and agentic technologies.">
  • Contribute to the technical direction and architecture of our agentic AI platform.">
  • Deploy solutions on one or more cloud platforms (AWS, Azure, GCP).">
  • Participate in code reviews and knowledge sharing within the team.">
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• 7+ years of progressive experience in software development, with a strong track record of independently delivering production-grade backend systems.">
• Proven expertise in Python.">
• Hands-on experience with Langchain.">
• Demonstrated experience with one or more agentic frameworks such as Autogen, AG2, Langgraph, Agno, or CrewAI.">
• Experience working with Vector Databases (e.g., Chroma, Pinecone, Weaviate).">
• Deep understanding of Large Language Models (LLMs) and their application in building intelligent systems.">
• Proficient with Git for version control.">
• Comfortable working in a Linux environment.">
• Experience deploying and managing applications on one or more cloud platforms (AWS, Azure, GCP).">
• Proven experience designing, implementing, and maintaining robust CI/CD pipelines for production deployments.">
• Solid understanding and practical experience with both SQL and NoSQL databases.">
• Strong leadership and management skills.">
• Problem-solving and decision-making skills.">
• Planning & Execution.">
• Excellent Communication & Inter-personal skills.">
• Proficient in MS Office suite.">

Bonus Points:

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• Experience with BigQuery.">
• Proficiency in one or more additional programming languages such as JavaScript, Java, or C#.">
• Experience developing multi-agent systems.">
• Experience with serverless architecture and/or containerization technologies (e.g., AWS Lambda, Azure Functions, GCP Cloud Functions, Docker, Kubernetes).">
• Experience with local LLM execution and management.">
• Experience with prompt engineering and fine-tuning LLMs.">
• Contributions to open-source AI or agentic projects.">
• Strong understanding of security best practices in AI applications.">
• Familiarity with MLOps principles.">
• Experience with relevant testing frameworks.">
• Understanding of AI Ethics and Responsible AI principles.">
• Familiarity with other AI/ML technologies such as computer vision, neural networks, and time-series analysis."]",