
Innovative AI Solutions Architect
3 days ago
We are seeking a highly skilled and passionate Senior Agentic AI Engineer to join our innovative team.
You will take ownership of the full lifecycle of our cutting-edge agentic AI solutions, from architectural design and implementation to successful deployment and ongoing optimization in a production environment.
Key Responsibilities:
- 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, Langgraph, Agno, or CrewAI.
Requirements:
- 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.
Preferred Skills:
- 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.
What We Offer:
- Competitive salary and performance-based bonuses.
- Health and wellness benefits.
- Opportunity to work in a dynamic and fast-growing environment with a focus on innovation and excellence.
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