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Tech Stack
Tools & technologiesAzureCloudDistributed SystemsJavaPython
About the role
Key responsibilities & impact- Design and develop autonomous AI agents capable of multi-step reasoning and decision-making
- Build and orchestrate agent workflows using modern frameworks (LangChain, LangGraph, etc.)
- Integrate AI agents with APIs, databases, and SaaS platforms for end-to-end automation
- Develop prompt engineering strategies, memory architectures, and tool integrations
- Deploy, monitor, and maintain AI agents in production environments
- Optimize agents for performance, scalability, latency, and cost efficiency
- Debug and improve agent behavior using testing, logging, and feedback loops
- Collaborate with cross-functional teams to embed AI solutions into business workflows
- Write clean, scalable, and production-ready backend code
- Stay updated with emerging AI/LLM trends and agent frameworks
Requirements
What you’ll need- Total experience 7.5 – 9 years
- Strong hands-on experience in Java and Python (Must Have)
- Expertise in Microsoft Azure AI/ML services
- Experience with LLM application frameworks (LangChain, LangGraph, or similar)
- Strong experience in API development and system integration
- Experience building backend systems and scalable architectures
- Solid understanding of data structures, system design, and distributed systems
- Familiarity with cloud-native deployments, CI/CD, and observability tools
- Experience with LLM tools/providers and AI-assisted development (Good to Have)
- Strong problem-solving and communication skills
Benefits
Comp & perks- Employees can work remotely
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
JavaPythonAPI developmentsystem integrationbackend systemsscalable architecturesdata structuressystem designdistributed systemsprompt engineering
Soft Skills
problem-solvingcommunication
