GenAI Developer

Infosys typically conducts three rounds for a GenAI Developer role: an online coding and aptitude test, a technical interview focusing on AI/ML concepts, Python, and framework knowledge, followed by an HR interview that assesses cultural fit and career aspirations. The difficulty is moderate to high, with emphasis on problem‑solving speed and depth of AI understanding. Preparing with mock tests, revisiting core ML/NLP topics, and practicing system design for AI solutions can greatly improve performance.

Infosys fosters a collaborative and innovative work culture where continuous learning is encouraged through internal academies and mentorship programs. Employees enjoy a balanced work‑life environment with flexible work‑from‑home options and clear pathways for career advancement.

Bachelor of Engineering (any branch) with a minimum of 60% aggregate marks, no active backlogs, batch years 2022‑2025, and 1‑2 years of relevant Python/AI experience. Candidates must be eligible to work in India and possess a valid ID proof.

Round 1: Online Assessment (coding & aptitude) → Round 2: Technical Interview (AI/ML concepts, Python, frameworks) → Round 3: HR Interview (fit & motivation)

Infosys Limited is one of India’s largest IT services firms, delivering end‑to‑end digital transformation solutions to clients across more than 40 countries. With a heritage of over four decades, Infosys has built a reputation for innovation, deep domain expertise, and a strong focus on sustainability and ethical business practices. The company’s portfolio spans consulting, application development, infrastructure management, and emerging technologies such as AI, cloud, and blockchain, serving industries ranging from banking and healthcare to retail and manufacturing. The GenAI Developer role sits at the heart of Infosys’s Generative AI practice, a fast‑growing vertical that helps enterprises unlock new value through large language models (LLMs) and AI‑driven automation. As a member of this team, you will work on cutting‑edge projects that blend natural language processing, retrieval‑augmented generation (RAG), and enterprise integration to create intelligent chatbots, content‑generation tools, and decision‑support systems. You will collaborate with solution architects, data engineers, and business analysts to translate complex business problems into scalable AI solutions. **Key Responsibilities** 1. Design, develop, and deploy Generative AI solutions using LLMs and frameworks such as LangChain or LlamaIndex. 2. Build AI‑powered applications, conversational agents, and automation workflows for internal and client‑facing use cases. 3. Create and fine‑tune prompts, RAG pipelines, and retrieval mechanisms to improve answer relevance and factual accuracy. 4. Integrate AI models with enterprise systems and RESTful APIs, ensuring secure and performant communication. 5. Conduct model evaluation, performance tuning, and continuous monitoring to meet SLA requirements. 6. Collaborate with cross‑functional teams to gather requirements, define success metrics, and deliver end‑to‑end solutions. 7. Perform rigorous testing, debugging, and version control using Git and Agile methodologies. 8. Stay abreast of the latest advancements in Generative AI, MLOps, and cloud AI services (Azure, AWS, GCP). 9. Document technical designs, codebases, and best‑practice guidelines for knowledge sharing. 10. Mentor junior developers and contribute to internal AI community forums. **Tech Stack**: Python, LangChain/LlamaIndex, OpenAI/Azure OpenAI/Gemini APIs, vector databases (Pinecone, ChromaDB, FAISS), REST APIs, Docker/Kubernetes for deployment, Git, Agile tools, cloud platforms (Azure, AWS, GCP). **Growth Path**: Starting as a GenAI Developer, you can progress to Senior AI Engineer, AI Solution Architect, or AI Practice Lead, with opportunities to lead large‑scale AI programs, influence product strategy, and work on global client engagements. **Why Join Infosys**: Infosys offers a vibrant learning ecosystem, access to world‑class AI research labs, and a culture that encourages continuous upskilling. Employees benefit from flexible work arrangements, competitive compensation, and a clear career ladder that rewards technical excellence and leadership. The company’s commitment to sustainability and social impact also provides a purpose‑driven work environment.