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Agentic AI Engineer
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Agentic AI Engineer
Infosys LimitedThis job is no longer accepting applications
Job Description
Responsibilities :
Design and implement agentic architectures leveraging LLMs and reasoning engines. Develop multi-agent systems for task orchestration and collaboration. Integrate external tools, APIs, and knowledge bases for agent augmentation. Optimize agent performance for autonomy, adaptability, and safety. Collaborate with product teams to embed agentic AI into business applications. Research and prototype advanced capabilities like memory, planning, and self-improvement.Additional Responsibilities:
6â€'10 years of experience in AI/ML engineering, with at least 2+ years in building agentic AI systems or LLM-based applications.Technical and Professional Requirements:
Strong programming skills in Python and experience with AI/ML frameworks. Deep understanding of LLMs, prompt engineering, and fine-tuning techniques. Familiarity with agentic frameworks (LangChain, AutoGen, CrewAI, or similar). Knowledge of reinforcement learning, reasoning algorithms, and planning systems. Experience with API integration and tool augmentation for agents. Strong grasp of ethical AI principles and safety mechanisms.More Info
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Key Skills
LangChain
LLMs
agentic frameworks
AI ML frameworks
fine-tuning techniques
ethical AI principles
AutoGen
reasoning algorithms
CrewAI
safety mechanisms
prompt engineering
tool augmentation
About Company
Skills:
Java Microservices, Git, Docker, Kubernetes, LangChain, RAG systems, Crew.ai, cloud-native architecture, vector databases, embedding models, knowledge retrieval systems, prompt engineering, Autogen, LLM optimization techniques, RAG pipelines, async programming, advanced Python programming
Skills:
data engineering , Machine Learning, MLops, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language
Skills:
Python Programming, React Js, LangChain, Foundry ML, Evaluation, AI Search, LLMOps, Vision, LangSmith, RAG Agentic Frameworks, Azure AI Stack, RAGAS, Azure Function Apps, CrewAI, Logic Apps, Document Intelligence, LangGraph
Skills:
AWS, Java, Python, Kubernetes, Azure, Google Cloud, LangChain, GoogleADK, Go, Langraph
Skills:
Java, Oauth, Apis, Automated Testing, Sso, React, Typescript, Distributed Systems, Python, intelligent automation platforms, event-driven systems, platform engineering, LLM-powered applications, AI agents, authentication and authorization, cloud-native architectures, observability