As an AI Engineer Apprentice at Adobe, you will work under the guidance of an AI Architect, an engineering mentor, and the wider delivery team to learn and build the foundations of AI engineering. You will contribute to real client delivery, shadow and support client engagement, and grow the practice's knowledge. This role is ideal for fresh graduates with a strong learning mindset, coachable, self-driven, and eager to grow into an enterprise-grade engineer.
Adobe is a multinational software company that empowers everyone to create through innovative platforms and tools. With industry-leading offerings, Adobe enables people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. The company has over 30,000 employees worldwide and is on a mission to hire the best talent, creating a culture where all employees are empowered to make an impact.
Why required: Python is a fundamental programming language required for AI engineering. You will use Python to write and read code, and learn new languages and tools.
How recruiters evaluate: The recruiter will evaluate your working knowledge of Python and general programming fundamentals.
Why required: LLM APIs are essential for building AI systems. You will learn to work with LLM APIs and understand how AI systems are built.
How recruiters evaluate: The recruiter will evaluate your basic understanding of AI and LLMs, and genuine curiosity about how AI systems are built.
Why required: Prompt design is critical for building effective AI systems. You will learn to design prompts and understand the fundamentals of agentic AI.
How recruiters evaluate: The recruiter will evaluate your ability to design prompts and understand the fundamentals of agentic AI.
Why required: Agentic AI is a key concept in AI engineering. You will learn to understand the fundamentals of agentic AI and how it applies to AI systems.
How recruiters evaluate: The recruiter will evaluate your understanding of agentic AI and how it applies to AI systems.
Why required: Git is a version control system essential for collaborative development. You will learn to use Git and understand its importance in AI engineering.
How recruiters evaluate: The recruiter will evaluate your familiarity with Git and ability to use it for collaborative development.
Why required: JavaScript/TypeScript is a programming language used in AI engineering. You will learn to use JavaScript/TypeScript and understand its importance in AI systems.
How recruiters evaluate: The recruiter will evaluate your familiarity with JavaScript/TypeScript and ability to use it for AI systems.
Why required: SQL is a database management language essential for AI engineering. You will learn to use SQL and understand its importance in AI systems.
How recruiters evaluate: The recruiter will evaluate your familiarity with SQL and ability to use it for AI systems.
Why required: Cloud concepts are essential for AI engineering. You will learn to understand cloud concepts and how they apply to AI systems.
How recruiters evaluate: The recruiter will evaluate your familiarity with cloud concepts and ability to apply them to AI systems.
Fresh graduates with a strong learning mindset, coachable, self-driven, and eager to grow into an enterprise-grade engineer.
Not applicable
2025 or 2026 graduates in Computer Science, Engineering, Data Science, or a related field.
B.Tech graduates in Computer Science, Engineering, or a related field.
MCA graduates with a strong background in programming and software development.
Not applicable
The salary range for AI engineers in India is ₹8-15 lakhs per annum.
The salary range for freshers in AI engineering is ₹6-10 lakhs per annum.
The salary range for experienced AI engineers is ₹12-20 lakhs per annum.
The salary growth for AI engineers is high, with a 15-20% increase in salary per annum.
As an AI engineer, you will work on designing and developing AI systems and models.
As a senior AI engineer, you will lead a team of AI engineers and work on complex AI projects.
As an AI architect, you will design and develop AI systems and models, and lead a team of AI engineers.
This course will give you a strong foundation in Python and AI engineering.
This course will teach you how to design prompts and work with LLM APIs.
This course will give you a strong understanding of agentic AI and cloud concepts.
To succeed in AI engineering, you need to have a strong foundation in programming and software development, and be willing to continuously learn and adapt to new technologies and techniques.
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AI Engineer Apprentice
Location Bangalore, Karnātaka, IndiaCategoryOtherJob IdR170858Posted Date 07/28/2026
What You'll Do
Your responsibilities grow over the year as your skills do. You will always work under the guidance of an AI Architect, an engineering mentor, and the wider delivery team.
Learn & Build the Foundations
• Complete a structured onboarding and learning path covering Python engineering, LLM APIs, prompt design, and the fundamentals of agentic AI.
• Work through guided exercises and internal accelerators before moving on to supervised contribution on client work.
• Build the habit of clean, tested, documented code from day one — with regular feedback from your mentor.
Contribute to Real Client Delivery (with support)
• Take on scoped, well-defined pieces of a client build — a tool integration, a RAG component, a test harness — under the guidance of a senior engineer.
• Pair with experienced engineers to understand how solutions move from design to production, and gradually take on more ownership as you grow.
• Help with integration testing, documentation, and deployment readiness on live engagements.
Shadow & Support Client Engagement
Attend client sessions as an observer and supporting engineer — learning how technical solutions are presented and how requirements are turned into buildable work.
• Prepare demo materials and proof-of-concept components that senior engineers use in client conversations.
Grow the Practice's Knowledge
• Contribute to the practice's reusable asset library — starting with documentation and small components, building towards full accelerators.
• Share what you learn in internal brown-bags and write up patterns clearly enough for the next apprentice to build on.
What We're Looking For
Essential
• A 2025 or 2026 graduate (or equivalent) in Computer Science, Engineering, Data Science, or a related field — with less than 6 months of experience for 2025 graduates at the time of joining.
• Working knowledge of Python and general programming fundamentals — you can write and read code and are comfortable learning new languages and tools.
• A basic understanding of AI and LLMs, and genuine curiosity about how AI systems are built.
• Clear communication and a collaborative attitude — you ask questions, take feedback well, and are comfortable saying when you're stuck.
• A strong learning mindset: coachable, self-driven, and eager to grow into an enterprise-grade engineer.
Nice to Have
• Any hands-on exposure to LLM APIs, prompt engineering, or building small AI projects (personal, academic, or hackathon).
• Familiarity with Git, JavaScript/TypeScript, SQL, or basic cloud concepts.
• A portfolio, GitHub profile, open-source contributions, or demonstrable side projects — anything that shows you build things.
• Awareness of agentic AI, RAG, or vector databases at a conceptual level.
Mindset (this matters most)
You are curious about the AI space and follow it because you want to, not because you have to.
• You take ownership of small things well, so we can trust you with bigger things.
• You are comfortable with not knowing — and you treat every gap as something to close, not hide.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
