Agentic AI Developer

Infosys is seeking an experienced Agentic AI Developer to design, develop, and deploy autonomous AI agents capable of reasoning, planning, and executing complex tasks using LLM-based architectures. The ideal candidate will have strong expertise in Generative AI, multi-agent systems, orchestration frameworks, and production-grade AI deployments., Design and implement Agentic AI systems leveraging LLMs and tool-using autonomous agents. Develop AI agents capable of multi-step reasoning, planning, memory management, and task execution. Build workflows using frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar. Integrate LLMs (OpenAI, Anthropic, Azure OpenAI, etc.) with enterprise data sources and APIs. Develop RAG (Retrieval-Augmented Generation) pipelines with vector databases (Pinecone, FAISS, Weaviate, etc.). Implement multi-agent collaboration and orchestration strategies. Optimize prompt engineering, model performance, latency, and cost. Deploy AI systems on cloud platforms (AWS/Azure/GCP) with MLOps best practices. Ensure security, governance, and responsible AI compliance. Collaborate with product, architecture, and data engineering teams for scalable AI solutions., Job Description In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by docum…

• 9 days ago, Job Description In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by docum…
• 9 days ago +

5+ years of software development experience (Python preferred). 2+ years of hands-on experience with Generative AI / LLM-based application development. Strong understanding of: o Agentic workflows & autonomous agents o Prompt engineering o RAG architectures o Vector databases o API integrations Experience with frameworks such as: o LangChain o AutoGen o CrewAI o Semantic Kernel Experience deploying AI workloads on AWS/Azure. Strong knowledge of REST APIs, microservices, Docker, Kubernetes. Familiarity with CI/CD and MLOps pipelines. Preferred Qualifications: Knowledge of reinforcement learning or planning algorithms. Experience with multi-modal models (text, image, audio). Exposure to compliance, risk, and AI governance frameworks. Nice to Have: Experience with Knowledge Graphs Experience fine-tuning LLMs Exposure to AI safety and guardrail frameworks