AI Solution Developer, Associate

Job title: AI Solution Developer, Associate

• Location: Hyderabad

Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally. Our mission is to bring health in people’s hands by making self-care as simple as it should be. For half a billion consumers worldwide – and counting.

At the core of this mission is our 100 loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers. Headquartered in France, Opella is the proud maker of many of the world’s most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan.

As a globally certified B Corp company, we are active players in the journey towards healthier people and planet. Find out more about our mission at www.opella.com.

About the job:

The AI Solution Developer, Associate helps build, integrate, and support AI agents that act within Opella’s Manufacturing & Supply (M&S) core systems — Manufacturing Execution Systems (MES), Quality Management Systems (QMS), and Enterprise Resource Planning (ERP). Working alongside senior AI Engineers, you turn proven ideas into working agents that execute tasks — not just advise — across Supply Chain, Manufacturing, and Quality.

This is a hands-on, early-career role at the heart of the MS.AI Factory, designed for a developer who wants to grow into a full Forward Deployed Engineer (FDE). You will learn by building — shipping real components into live workflows under the guidance of experienced developers, and steadily taking on more end-to-end ownership as your skills grow.

Main Responsibilities

• Build & Support Agents: Develop, test, and maintain components of AI agents and workflows that act within MES, QMS, and ERP, under the guidance of senior developers.

• Integration Support: Help connect agents to enterprise systems (SAP, MES, QMS, LIMS) through APIs and MCP-based integrations, following established, safe, and auditable patterns.

• Hands-on Development: Write clean, tested Python code; contribute to RAG workflows, prompts, and agent logic, applying good software engineering practice.

• Testing & Quality: Support validation, human-in-the-loop checks, and documentation so agent actions are reliable, GxP-aware, and trustworthy.

• Deployment & Monitoring: Assist in deploying agents to production and monitoring their performance, flagging issues and helping resolve them.

• Collaboration: Work closely with senior developers, data teams, and business users — embedded with Supply Chain, Manufacturing, and Quality stakeholders in an FDE model.

• Continuous Learning: Grow expertise in agentic AI, GenAI frameworks, and M&S processes, progressively taking on more independent, end-to-end delivery.

About you:

Required Skills & Qualifications

• Software & AI Foundations: Solid programming fundamentals in Python, with an understanding of coding standards, version control (Git), and testing.

• GenAI Exposure: Familiarity with LLMs and generative AI concepts (prompting, RAG, agents), through coursework, internships, projects, or early professional experience.

• Integration Awareness: Interest in and some exposure to APIs and connecting software to other systems; willingness to learn MES / QMS / ERP (SAP) environments.

• Data & Cloud Basics: Working knowledge of SQL and data handling; exposure to a cloud platform (Azure, AWS, or GCP) is a plus.

• Problem Solving: Ability to break problems down, debug, and deliver working solutions with support.

• Experience: 1–3 years of hands-on development experience, including internships and personal or academic projects. Strong recent graduates with demonstrable AI projects are encouraged to apply.

• Education: Degree in Computer Science, Engineering, Data Science, or a related quantitative discipline.

Soft & Behavioral Skills

• Challenger Mindset: Curious and proactive, eager to question how things are done and try new approaches.

• All In, Together: Collaborative team player who learns from others and contributes openly across business and technical teams.

• Outcome-Obsessed: Focused on shipping working solutions and delivering tangible value, not just prototypes.

• Courageous: Willing to take ownership of tasks, ask questions, and learn quickly from feedback and mistakes.

• Radically Simple: Strives to keep…