Tera Software
3 days ago
Description
Responsibilities :
- 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.
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