IN
Full time
🤖 AI / ML
Agentic AI Engineer (INFSYS-EXTERNAL-249156) at Infosys
Listed by DevShelfHub
Bangalore, India
Hybrid
Mid-level · 3–6 yrs
About the Role
Enterprise workflows are being transformed by agentic AI architectures that orchestrate LLMs, tools, and knowledge bases. Infosys is hiring an Agentic AI Engineer in Bangalore.
What you'll do
- Design and implement production-grade agentic architectures leveraging LLMs
- Build and optimize multi-agent systems for complex task orchestration
- Integrate external tools, APIs, and knowledge bases for agent augmentation
- Tune agent performance for autonomy, adaptability, reliability, and safety
- Embed agentic AI into enterprise workflows with product teams
- Prototype advanced capabilities: persistent memory, goal planning, self-correction
- Contribute to code reviews, technical documentation, and best practices
What we're looking for
- Bachelor/Master in Engineering, Technology, Science, or Computer Applications
- 3-6 years work experience
- Strong Python programming with hands-on AI/ML framework experience
- Working knowledge of LLMs, prompt engineering, and basic fine-tuning (LoRA/QLoRA)
Skills & Technologies
Required
Bachelor/Master in Engineering, Technology, Science, or Computer Applications
3-6 years work experience
Strong Python programming with hands-on AI/ML framework experience
Working knowledge of LLMs, prompt engineering, and basic fine-tuning (LoRA/QLoRA)
Practical experience with agentic frameworks: LangChain, AutoGen, or CrewAI
Experience with API integration and tool-augmented agent development
Understanding of responsible AI, safety guardrails, and LLM evaluation
Familiarity with vector stores, retrieval systems, and RAG architectures
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role designs and implements production-grade agentic architectures for complex task orchestration.
- Design and implement production-grade agentic architectures with LLMs
- Build and optimize multi-agent systems for task orchestration and collaboration
- Integrate external tools, APIs, and knowledge bases for agent augmentation
- Tune agent performance for autonomy, adaptability, reliability, and safety
- Embed agentic AI into enterprise workflows with product teams
- Prototype persistent memory, goal planning, and self-correction loops
- Contribute to code reviews, documentation, and team best practices
- Work with cloud AI services on Azure, AWS, or GCP
- Apply responsible AI, safety guardrails, and LLM evaluation strategies
- Exposure to MLOps practices — MLflow, DVC, experiment tracking
About Infosys
Infosys is a global leader in next-generation digital services and consulting, enabling clients in more than 50 countries to navigate their digital transformation. The Engineering Services team builds cutting-edge AI solutions for enterprise clients worldwide.
- Industry
- Technology
- Company Size
- 500+
- Website
- infosys.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 3–6 years
- Location
- Bangalore, India
- Work Mode
- Hybrid
- Category
- AI / ML
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