
Intelligent Systems Developer
1 week ago
We are seeking a highly skilled and passionate Senior AI Engineer to join our innovative team.
- The ideal candidate will take ownership of the full lifecycle of cutting-edge AI solutions, from architectural design and implementation to successful deployment and ongoing optimization in a production environment.
- This role involves driving key technical decisions and playing a crucial role in shaping the evolution of our AI platform.
You will be empowered to drive technical growth and play a vital part in shaping our AI strategy.
Key Responsibilities:
- Design, develop, and implement 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 AI workflows using frameworks like Autogen, AG2, Langgraph, Agno, or CrewAI.
- 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 AI platform.
- Deploy solutions on one or more cloud platforms (AWS, Azure, GCP).
- Participate in code reviews and knowledge sharing within the team.
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 AI 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.
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