
Advanced AI Solutions Developer
4 days ago
We are seeking a highly skilled and passionate Senior AI Engineer to join our team. In this role, you will take ownership of the full lifecycle of cutting-edge AI solutions, from architectural design and independent implementation to successful deployment and ongoing optimization in a production environment.
You will be empowered to drive key technical decisions and play a crucial role in shaping the evolution of our AI platform.
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, Lang graph, 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 agentic AI platform.
- Deploy solutions on one or more cloud platforms (AWS, Azure, GCP).
- Participate in code reviews and knowledge sharing within the team.
- 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.
- 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.
We offer competitive salary and performance-based bonuses. Our health and wellness benefits include comprehensive medical, dental, and vision coverage. We also provide opportunities for growth and professional development in a dynamic and fast-growing environment with a focus on innovation and excellence.
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