Role Overview

We are looking for an AI Engineer to join our vibrant international team. This role involves creating impact by building Applied AI & LLM-based solutions, including intelligent agents, workflows, and automation pipelines. This is an individual contributor position based in Pune / Mumbai.

Responsibilities

Building Applied AI & LLM-based solutions, including intelligent agents, workflows, and automation pipelines.
Translating business needs into well‑defined agent roles, tasks, guardrails, success metrics, and evaluation frameworks.
Developing and iterating AI agents using both low‑code platforms and code‑first approaches where required.
Prototyping in sandbox environments, supporting testing/UAT, and coordinating deployments across environments.
Ensuring compliant, secure, and reliable AI behavior, including responsible data handling and model governance.
Supervising agent performance through observability tools and continuously optimizing prompts, logic, and workflows.
Coordinating delivery activities, including sprint planning, partner alignment, risk tracking, and progress reporting.
Engaging closely with business users and customers for discovery sessions, demos, adoption support, and feedback loops.
Supplying to internal knowledge sharing, documentation, and best‑practice development across teams.

Requirements

3–5 years of experience in ML/AI engineering, applied AI, or intelligent automation.
Hands‑on experience with low‑code AI/automation platforms such as n8n, SAP Joule, AgentForce, or similar tools.
Strong GenAI fundamentals, including prompt engineering, grounding/RAG, model evaluation, and observability tools (e.g., LangSmith, Arize).
Ability to integrate AI solutions into business processes, enterprise systems, and multi‑application workflows.
Experience with the Salesforce ecosystem (highly preferred).
Validated experience in multi‑functional project coordination and delivering AI/automation solutions end‑to‑end.
Excellent interpersonal skills, able to work efficiently with technical and non‑technical partners.
A passion for solving real‑world problems using emerging technologies.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Certifications in AI/ML, Azure, or enterprise automation are a strong plus.