- Design and build modular, reusable AI agents using frameworks like LangChain, CrewAI, or custom orchestration tools.

- Integrate AI capabilities with core business platforms such as Slack, Jira, Salesforce, and internal APIs.

- Orchestrate intelligent, end-to-end workflows that solve practical business problems.

- Develop and implement innovative AI solutions that enhance efficiency, accuracy, and decision-making across the organization.

- Drive the adoption of AI across teams, serving as a subject-matter expert in agentic design patterns and LLM enablement.

- Collaborate with cross-functional partners (Product, Engineering, Data, Operations) in a fast-paced, iterative environment.

Requirements :

- 4 to 5 years of professional experience in software engineering, AI/ML development, or related fields.

- Strong background in Computer Science, AI/ML, or equivalent practical experience.

- Deep understanding of LLM internalstransformers, tokenization, embeddings, retrieval, context windows.

- Exceptional Python engineering skills, with experience in FastAPI, LangChain, CrewAI, or similar frameworks.

- Demonstrated ability to build, test, and deploy AI agents and workflow orchestration systems integrated with business tools.

- Experience building Retrieval-Augmented Generation (RAG) systems.

- Experience working with vector databases (e.g., Pinecone, Weaviate, Chroma) and RAG-based pipelines.

- Familiarity with observability, monitoring, and evaluation frameworks for LLM agents.

- A proactive, adaptable, and collaborative mindset, eager to learn and share knowledge in the rapidly evolving generative AI space.