Infosys
Job Description
Infosys is seeking a Junior Gen AI / Agentic AI Engineer to support the development of next-generation AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This is a hands-on engineering role for individuals eager to learn, build, and contribute to real-world Gen AI solutions in a collaborative environment. Required Qualifications
Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field (or equivalent experience). Minimum 2 years of experience in software development, including at least 1 year in GenAI / Agentic AI and data science with machine learning. Proficiency in Python and familiarity with libraries such as Hugging Face Transformers, LangChain, or PyTorch. Understanding of LLMs, embeddings, and vector search concepts. Experience with REST APIs and tools like FastAPI or Flask. Willingness to learn and work with Gen AI tools, frameworks, and cloud services. Key Responsibilities
Assist in building and deploying Gen AI applications using frameworks like LangChain, LangGraph, or AutoGen. Support the development of RAG pipelines and integration with vector databases (e.g., FAISS, Pinecone). Work with unstructured data (PDFs, HTML, images, audio) and preprocess it for LLM consumption. Contribute to prompt engineering, testing, and optimization for LLM-based applications. Collaborate with senior engineers and data scientists to fine-tune and evaluate LLMs. Help integrate Gen AI services from cloud platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI). Participate in code reviews, documentation, and Agile development processes. Preferred Skills
Exposure to Gen AI platforms (OpenAI, Cohere, Anthropic, Mistral, etc.). Experience with version control (Git), Jupyter notebooks, and collaborative development tools. Understanding of basic ML concepts (classification, regression, evaluation metrics). Exposure to agentic workflows, autonomous agents, or multimodal AI systems. Familiarity with Docker, cloud environments, or CI/CD pipelines is a plus. The job requires extensive travel and sitting for long periods at a computer. Communication may be via telephone, email, or face-to-face. Infosys is a global leader in digital services and consulting, enabling clients worldwide to navigate digital transformation. With over four decades of experience, we guide enterprises through their digital journey by integrating AI-powered cores and delivering agile digital solutions that enhance performance and customer satisfaction. We foster continuous learning through our innovation ecosystem. Infosys is an equal opportunity employer, valuing diversity and inclusion in the workplace.
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Infosys is seeking a Junior Gen AI / Agentic AI Engineer to support the development of next-generation AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This is a hands-on engineering role for individuals eager to learn, build, and contribute to real-world Gen AI solutions in a collaborative environment. Required Qualifications
Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field (or equivalent experience). Minimum 2 years of experience in software development, including at least 1 year in GenAI / Agentic AI and data science with machine learning. Proficiency in Python and familiarity with libraries such as Hugging Face Transformers, LangChain, or PyTorch. Understanding of LLMs, embeddings, and vector search concepts. Experience with REST APIs and tools like FastAPI or Flask. Willingness to learn and work with Gen AI tools, frameworks, and cloud services. Key Responsibilities
Assist in building and deploying Gen AI applications using frameworks like LangChain, LangGraph, or AutoGen. Support the development of RAG pipelines and integration with vector databases (e.g., FAISS, Pinecone). Work with unstructured data (PDFs, HTML, images, audio) and preprocess it for LLM consumption. Contribute to prompt engineering, testing, and optimization for LLM-based applications. Collaborate with senior engineers and data scientists to fine-tune and evaluate LLMs. Help integrate Gen AI services from cloud platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI). Participate in code reviews, documentation, and Agile development processes. Preferred Skills
Exposure to Gen AI platforms (OpenAI, Cohere, Anthropic, Mistral, etc.). Experience with version control (Git), Jupyter notebooks, and collaborative development tools. Understanding of basic ML concepts (classification, regression, evaluation metrics). Exposure to agentic workflows, autonomous agents, or multimodal AI systems. Familiarity with Docker, cloud environments, or CI/CD pipelines is a plus. The job requires extensive travel and sitting for long periods at a computer. Communication may be via telephone, email, or face-to-face. Infosys is a global leader in digital services and consulting, enabling clients worldwide to navigate digital transformation. With over four decades of experience, we guide enterprises through their digital journey by integrating AI-powered cores and delivering agile digital solutions that enhance performance and customer satisfaction. We foster continuous learning through our innovation ecosystem. Infosys is an equal opportunity employer, valuing diversity and inclusion in the workplace.
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