Infosys
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Bengaluru · On-site · 3-5 Yrs · Aug 24
Information Technology Support Services · 10000+ Employees · Bengaluru, India
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Hiring: Engineering
What employees say
+ they are asking to do 1 question out of 2 by making the candidates login in their wingspan , mostly focused on asking dp , sliding , kadane
− Difficulty level varies progressively , but overall it is a medium to hard interview
More reviews on the company profile.
Interview experience · Dse
DSA , SQL, OOPS and DBMS was aksed but the questions was of easy to medium level, I performed very bad, so I got rejected but my friends who performed average got selected.
Average difficulty · India · 18,428 reports
More interview insightsJob description
Overview
Develop and deploy Generative AI applications using LLMs (GPT, Llama, etc.). Build and maintain LLM pipelines, including prompt engineering and fine-tuning. Design and implement end-to-end AI/ML workflows from data to deployment.
Responsibilities
- Develop and deploy Generative AI applications using LLMs (GPT, Llama, etc.)
- Build and maintain LLM pipelines, including prompt engineering and fine-tuning
- Design and implement end-to-end AI/ML workflows (data → model → deployment)
- Work with vector databases for semantic search and retrieval (RAG architecture)
- Implement LLMOps practices for monitoring, evaluation, and versioning
- Integrate LLMs into applications via APIs and microservices
- Optimize model performance, cost, and latency
- Collaborate with data engineers, product teams, and stakeholders
- Conduct testing, validation, and debugging of AI models
- Ensure security, compliance, and responsible AI practices
Qualifications
- Strong proficiency in Python
- Hands-on experience with Generative AI & LLM frameworks: OpenAI / Azure OpenAI APIs, Hugging Face Transformers, LangChain / LlamaIndex
- Experience with prompt engineering and RAG (Retrieval-Augmented Generation)
- Familiarity with vector databases (FAISS, Pinecone, Weaviate, Chroma)
- Knowledge of ML/DL frameworks (PyTorch / TensorFlow – basics)
- Experience in API development (FastAPI, Flask)
- Understanding of RESTful services and microservices architecture
Nice to have
- Experience with fine-tuning LLMs / parameter-efficient tuning (LoRA, PEFT)
- Knowledge of multimodal AI (text, image, audio)
- Exposure to cloud platforms (AWS, Azure, GCP)
- Experience with Kubernetes and scalable deployments
- Knowledge of data engineering tools (Spark, Kafka)
- Familiarity with vector search optimization and embeddings
- Understanding of AI governance, ethics, and compliance
- Experience with chatbots, copilots, or conversational AI systems
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