Artificial Intelligence Engineer

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

• 4–5 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 internals—transformers, 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.

ravinder.nenavath@terasoftware.com

7760441898