Senior AI Systems Developer

Senior Agentic AI Developer

We are seeking a highly skilled and passionate Senior Agentic AI Developer to join our innovative team. In this role, you will take ownership of the full lifecycle of our cutting-edge agentic 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 will play a crucial role in shaping the evolution of our AI platform.

- 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.

- 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.

Minimum Required Skills:

- 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.

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.