Job Title: AI Engineer
- Role Overview
We are looking for an AI Integration Engineer to build everyday AI solutions for enterprise teams. Operating within a tight-knit delivery pod, you will transform functional specifications into production-ready AI applications. You will connect enterprise AI platforms to real-time customer systems, structure critical knowledge bases, and author reusable agent workflows.
This role focuses heavily on enterprise AI platform orchestration and data integration rather than training raw models from scratch. You will work alongside a Senior Engineer (for technical mentorship) and an Architect (who owns the client relationship), giving you strong air cover to scale your skills rapidly.
- Key Responsibilities (What You Will Do)
- End-to-End AI Deployment: Build, configure, and ship AI use cases from sandbox to production based on transparent product specifications.
- Enterprise Connectivity: Configure and test platform connectors for tools like Microsoft 365, Salesforce, Snowflake, and SharePoint, managing authentication (OAuth2, API keys)
and precise access scoping.
- Data Grounding & Knowledge Structuring: Architect and load the data sources anchoring our AI agents to ensure factual accuracy and secure data grounding.
- Workflow & Agent Behavior Authoring: Create reusable skills, distinct behavioral/tone profiles, and multi-step agent workflows on the client's enterprise AI platform.
- Prompt Engineering & Iteration: Refine prompts and configurations continuously against strict written acceptance criteria until outputs clear peer review.
- Technical Documentation: Write transparent build documentation and log architectural decisions to ensure all work is highly repeatable and auditable.
- Proactive Collaboration: Identify gaps in technical specifications early and surface questions instead of executing on assumptions.
- Candidate Requirements (What You Need)
- Professional Experience: 2 to 4 years of professional software engineering experien
📌 AI Engineer (Pune)
🏢 Inorg
📍 Pune