Technology Analyst (Generative AI & Agentic AI)

Round 1: Online Coding Assessment (Python/DSA) → Round 2: Technical Interview (AI concepts, system design, coding) → Round 3: HR Interview (fit, communication, expectations)

Infosys is known for its collaborative culture, strong emphasis on continuous learning, and clear career progression pathways. Employees enjoy a balanced work‑life environment with flexible work‑from‑home options and access to global mentorship programs.

The Infosys interview process typically starts with an online coding assessment focusing on Python and data‑structures, followed by a technical interview that probes AI concepts, system design, and coding ability. A final HR round assesses cultural fit and communication skills. Candidates report moderate difficulty with a strong emphasis on problem‑solving speed and clear articulation of AI workflows.

Educational Qualification: MCA, MSc, MTech, B.E., BCA, BSc or BTech (any branch). Minimum aggregate: not explicitly specified, but candidates should have a solid academic record. Experience: 3–5 years of professional experience in software development, preferably with Python and AI/ML projects. Technical Requirements: Proficiency in Python, experience with Generative AI, LLMs, Retrieval‑Augmented Generation, prompt engineering, vector databases, and enterprise API integrations. No specific backlog policy mentioned; candidates should have a clean academic record as per Infosys norms. Batch year: any recent graduate who meets the experience criteria.

Infosys Limited is a global leader in consulting, technology, and next‑generation services. With a presence in over 50 countries, Infosys helps enterprises transform their business models through digital, cloud, and AI‑driven solutions. The Digital Experience service line focuses on creating end‑to‑end digital products, platforms, and experiences that enable clients to stay ahead in a hyper‑connected world. As part of its AI‑first strategy, Infosys is building next‑generation Generative AI and Agentic AI solutions that can automate knowledge work, enhance decision‑making, and deliver personalized experiences at scale. The role of Technology Analyst (Generative AI & Agentic AI) is positioned within the Digital Experience team and is aimed at professionals with 3‑5 years of hands‑on experience in Python development and AI engineering. The analyst will design, develop, and maintain AI‑powered applications that leverage large language models (LLMs), Retrieval‑Augmented Generation (RAG) pipelines, and autonomous agentic workflows. Collaboration with business stakeholders, data scientists, and solution architects is essential to translate complex requirements into production‑grade AI services. **Key Responsibilities** 1. Design and implement Generative AI applications using LLM APIs and Python backend services. 2. Build and optimise RAG pipelines, including data ingestion, chunking, embedding generation, vector store management, and context‑aware generation. 3. Develop Agentic AI systems capable of multi‑step reasoning, tool calling, and workflow orchestration. 4. Engineer robust prompt‑engineering strategies, conduct A/B testing, and iteratively improve response quality. 5. Create and maintain AI evaluation frameworks to measure accuracy, relevance, hallucination rates, and business KPIs. 6. Integrate AI services with enterprise applications, REST APIs, databases, and cloud platforms (AWS/Azure/GCP). 7. Develop scalable backend micro‑services in Python, ensuring high availability and observability. 8. Monitor production AI systems, troubleshoot performance issues, and implement continuous improvement loops. 9. Collaborate with cross‑functional teams to gather requirements, define technical specifications, and deliver end‑to‑end solutions. 10. Stay updated with emerging AI research, tools, and best practices, and mentor junior engineers. **Tech Stack**: Python, FastAPI/Flask, LangChain, OpenAI/Anthropic APIs, Vector DBs (Pinecone, Milvus, Weaviate), Docker, Kubernetes, CI/CD pipelines, Git, AWS/Azure services. **Growth Path**: Successful analysts can progress to Senior Analyst, AI Solution Architect, or AI Product Manager roles, with opportunities to lead large‑scale AI programmes across industries. **Why Join Infosys**: Infosys offers a structured learning ecosystem, exposure to Fortune‑500 clients, and a culture that rewards innovation. Employees benefit from global mobility, continuous up‑skilling programs, and a supportive work‑life balance that encourages both personal and professional growth.