Infosys is hiring for a GenAI Developer position in Bengaluru, Karnataka, for candidates with 1 to 2 years of professional experience. The role is focused on building practical Generative AI solutions using large language models, AI frameworks, APIs and modern application-development techniques.
This is a hands-on role for developers who already have experience with Python and want to work more deeply with technologies such as LLMs, prompt engineering, RAG, LangChain, vector databases and AI application integration.
The position also involves working with cloud platforms, AI model deployment and enterprise applications. Candidates with a Bachelor of Engineering degree and relevant technical experience can consider this opportunity.
Here’s a detailed look at the Infosys GenAI Developer job, including the responsibilities, eligibility, technical skills, work culture, interview experience, selection process and application details.
Infosys GenAI Developer Recruitment 2026 – Overview
| Particular | Details |
|---|---|
| Company | Infosys Limited |
| Job Title | GenAI Developer |
| Job ID / Reference Code | INFSYS-EXTERNAL-250895 |
| Job Location | Bengaluru, Karnataka |
| Experience | 1–2 Years |
| Qualification | Bachelor of Engineering |
| Service Line | Information Systems |
| Key Skills | Python, Generative AI, LLMs, Prompt Engineering |
| AI Frameworks | LangChain, LlamaIndex or similar |
| Cloud Knowledge | Azure, AWS or GCP |
| Additional Skills | RAG, APIs, Vector Databases, MLOps, Git, Agile |
| Job Area | Generative AI / Machine Learning |
| Salary | Approximately ₹5 lakh to ₹10 lakh per year* |
Salary Note: The salary is not specified in the supplied Infosys job description. The ₹5 lakh–₹10 lakh figure is a third-party market estimate for an Infosys GenAI Developer role and should not be treated as a confirmed package for this vacancy. Actual compensation may vary depending on experience and qualifications.
About the Infosys GenAI Developer Role
The GenAI Developer role is aimed at professionals who already have a foundation in software development and want to work on Generative AI applications.
The job goes beyond simply using an AI chatbot. Developers will be expected to build AI-powered applications, work with LLMs, design prompts, create RAG pipelines and connect AI models with enterprise applications and APIs.
There is also a strong implementation focus. The role includes testing, debugging, monitoring and optimizing AI applications, which means candidates should understand how GenAI solutions work in real applications rather than only knowing the theory.
Infosys currently highlights AI-focused career opportunities on its careers platform and describes itself as an AI-first, digital-first and cloud-first partner.
Infosys GenAI Developer Responsibilities
The selected candidate will work on developing and integrating Generative AI solutions.
Key responsibilities include:
- Developing and deploying Generative AI solutions using LLMs and AI frameworks.
- Building AI-powered applications, chatbots and automation solutions.
- Designing effective prompts for LLM-based applications.
- Developing RAG pipelines and AI workflows.
- Integrating AI models with enterprise applications and APIs.
- Fine-tuning, evaluating and optimizing model performance.
- Working with cross-functional teams to understand business requirements.
- Testing and debugging AI applications.
- Monitoring AI solutions after deployment.
- Keeping up with developments in Generative AI and Machine Learning.
The role therefore combines software development, AI engineering and application integration rather than focusing only on model experimentation.
Additional Responsibilities
Candidates may also work with technologies and practices related to production-ready AI applications.
The job requirements mention:
- Retrieval-Augmented Generation (RAG)
- Cloud platforms such as Azure, AWS or GCP
- Basic MLOps and model deployment
- Git
- Agile methodologies
Having experience with these areas can help candidates understand how AI applications move from development into real-world environments.
Eligibility for Infosys GenAI Developer
The provided job details mention the following basic requirements:
Qualification: Bachelor of Engineering
Experience: 1–2 years
The role is therefore aimed at professionals who already have some hands-on development experience rather than candidates looking for their first software job.
Candidates should ideally have experience with Python development and a practical understanding of Generative AI technologies.
Skills Required for Infosys GenAI Developer
This role has a fairly specific technical stack, so candidates should pay close attention to the requirements.
Python Development
The job requires 1–2 years of experience in Python development.
Candidates should be comfortable writing Python applications and working with libraries and APIs used in AI and machine-learning projects.
Generative AI and LLMs
Candidates should understand:
- Generative AI
- Large Language Models
- Prompt Engineering
- LLM-based applications
- Model evaluation
- AI workflows
The role is more suitable for candidates who have already worked on practical GenAI projects rather than someone who has only completed a theoretical course.
RAG and AI Frameworks
Experience with RAG architectures is specifically mentioned.
Candidates should also be familiar with frameworks such as:
- LangChain
- LlamaIndex
- Similar LLM application frameworks
Understanding how retrieval, embeddings, vector search and generation work together can be particularly useful for this role.
Machine Learning and NLP
The requirements also mention an understanding of:
- Machine Learning
- Natural Language Processing
- Model evaluation
- AI application development
A candidate should be able to explain the basic concepts behind the technologies they have used.
AI Platforms
Familiarity with platforms such as:
- OpenAI
- Azure OpenAI
- Gemini
- Other AI platforms
is mentioned in the job requirements.
APIs and Integration
Experience with REST APIs and application integration is another important requirement.
This is relevant because enterprise GenAI applications often need to communicate with existing software systems rather than operate as standalone tools.
Vector Databases
Candidates should also be familiar with vector databases or vector-search technologies such as:
- Pinecone
- ChromaDB
- FAISS
Understanding embeddings and similarity search can be particularly useful when building RAG applications.
Preferred Skills
Infosys has also listed several areas that can be relevant to the position:
- Machine Learning
- Conversational AI
- Generative AI
- LangChain
- Generative AI for Data Analytics
These preferred skills indicate that the role can involve different types of enterprise AI use cases rather than one specific application.
Work Culture at Infosys
Infosys describes its workplace around learning, collaboration, employee development and opportunities to work with emerging technologies. Its careers platform currently highlights AI-focused career paths and opportunities for experienced professionals.
For this GenAI Developer role specifically, the cross-functional nature of the position means developers are expected to work with different teams while understanding business requirements and delivering practical AI solutions.
Infosys GenAI Developer Interview Experience
The exact interview process for Job ID INFSYS-EXTERNAL-250895 has not been published in the job description provided.
However, recent candidate discussions around Infosys GenAI Developer interviews indicate that preparation tends to be practical and project-focused.
One recent candidate discussion described a technical round covering the candidate’s projects, with questions around LLM context, model choices, multimodal AI and practical implementation. The discussion also mentioned a use-case implementation exercise and scenario-based questions around retrieval quality.
Another recent discussion around an Infosys Python + GenAI technical interview mentioned preparation areas including core Python, RAG, vector databases, LangChain/LlamaIndex workflows and handling hallucinations.
These are candidate discussions and should not be treated as an official Infosys interview pattern. The actual rounds and questions can vary depending on the project, hiring team and candidate profile.
What Should Candidates Prepare?
Candidates should be prepared to explain their GenAI projects in detail.
Important areas to revise include:
- Python
- LLM fundamentals
- Prompt engineering
- RAG
- Embeddings
- Vector databases
- LangChain
- LlamaIndex
- REST APIs
- Cloud basics
- Model evaluation
- Hallucination handling
- Machine Learning fundamentals
- NLP basics
If you’ve built a RAG application, for example, be ready to explain why you selected a particular embedding model, how documents were chunked, which vector store you used and how you evaluated retrieval quality.
Infosys GenAI Developer Selection Process
The exact selection process for this vacancy has not been specified in the supplied job description.
For an experienced technology role such as this, candidates may go through some combination of:
- Resume screening
- Technical assessment
- Technical interview
- Project or scenario-based discussion
- HR or managerial discussion
- Final selection and offer
However, this should be treated as general guidance rather than a confirmed selection process for Job ID INFSYS-EXTERNAL-250895.
Candidates should follow the instructions provided by Infosys during the recruitment process.
How to Prepare for the GenAI Developer Interview
The best preparation for this role is hands-on.
Python
Revise Python fundamentals and be comfortable explaining the code you have written in your projects.
RAG
Understand the complete flow:
Documents → Chunking → Embeddings → Vector Database → Retrieval → LLM → Response
Be ready to discuss what can go wrong at each stage.
Prompt Engineering
Know how prompts can be structured for different use cases and how you would improve an unreliable model response.
LLMs
Understand basic concepts such as:
- Tokens
- Context windows
- Embeddings
- Temperature
- Model selection
- Fine-tuning
- Model evaluation
Vector Databases
Know the purpose of tools such as FAISS, ChromaDB and Pinecone, and understand how vector similarity search is used in RAG applications.
APIs and Cloud
Revise REST APIs and the basics of deploying AI applications using cloud platforms such as Azure, AWS or GCP.
Your Projects
This may be one of the most important areas.
Don’t just mention a GenAI project on your resume. Be prepared to explain the architecture, technology choices, challenges, testing process and final result.
Who Can Apply?
This position can be relevant for candidates who:
- Have a Bachelor of Engineering degree.
- Have 1–2 years of professional experience.
- Have experience with Python development.
- Have worked with Generative AI or LLM-based applications.
- Understand prompt engineering.
- Have exposure to RAG.
- Know frameworks such as LangChain or LlamaIndex.
- Understand Machine Learning and NLP fundamentals.
- Have experience with APIs and application integration.
- Have worked with vector databases or similar technologies.
- Are comfortable learning new AI tools and frameworks.
Career Scope
Generative AI is becoming an important part of enterprise software development, and experience building production-oriented AI applications can open several career paths.
Depending on experience and specialization, candidates can later explore roles such as:
- Generative AI Developer
- GenAI Engineer
- AI Engineer
- Machine Learning Engineer
- LLM Engineer
- AI Application Developer
- Conversational AI Engineer
- NLP Engineer
The exact career path will depend on the technologies a candidate develops expertise in and the projects they work on.
Important Things to Check Before Applying
Before applying, candidates should verify:
- Whether the vacancy is still open
- Job ID / Reference Code
- Required experience
- Educational qualification
- Exact job location
- Application instructions
- Any assessment requirements
- Recruitment communication from Infosys
Infosys maintains an official careers portal where candidates can search current openings by location, experience and skills.
Candidates should use official Infosys recruitment channels and be cautious of anyone asking for money in exchange for an interview or job opportunity.
Frequently Asked Questions
What is the Infosys GenAI Developer job?
It is a technology role focused on developing Generative AI applications using LLMs, AI frameworks, RAG pipelines, APIs and related technologies.
What is the experience required?
The provided job details mention 1–2 years of experience.
What qualification is required?
A Bachelor of Engineering degree is mentioned in the job requirements.
Where is the Infosys GenAI Developer job located?
The provided vacancy is based in Bengaluru, Karnataka.
Is Python required?
Yes. The requirements specifically mention 1–2 years of Python development experience.
Is RAG required for this role?
Exposure to Retrieval-Augmented Generation (RAG) architectures is mentioned among the additional requirements.
Which GenAI frameworks are required?
The job mentions frameworks such as LangChain and LlamaIndex, or similar frameworks.
Which vector databases are mentioned?
The requirements mention Pinecone, ChromaDB and FAISS.
Is cloud knowledge required?
Knowledge of cloud platforms such as Azure, AWS or GCP is mentioned as an additional requirement.
Does the role involve Machine Learning?
Yes. The requirements include an understanding of Machine Learning and NLP concepts, and Machine Learning is also listed among the preferred skill areas.
What should I prepare for the Infosys GenAI Developer interview?
Focus on Python, LLM fundamentals, prompt engineering, RAG, embeddings, vector databases, LangChain, APIs, cloud basics, ML/NLP and your own GenAI projects.
Is this role suitable for freshers?
No. The provided job requirements specifically mention 1–2 years of experience, so this opening is intended for experienced candidates rather than fresh graduates.
How to Apply for Infosys GenAI Developer Recruitment 2026
Interested and eligible candidates can review the job details and submit their application through the official Infosys careers portal.
Don’t miss this opportunity!
Candidates should verify the Job ID INFSYS-EXTERNAL-250895 and the latest eligibility details before submitting an application.
Disclaimer: JobsMind.in is an independent career-information website and is not affiliated with Infosys Limited unless explicitly stated. Job details, vacancies, eligibility requirements and recruitment processes may change. Candidates should verify the latest information through the employer’s official recruitment source before applying.