Experience:

• 5–8 years
• 5+ years of software engineering experience
• 2+ years of hands-on experience in LLM/Generative AI application development

Responsibilities:

• Design, develop, and deploy AI agents using LangChain and LangGraph
• Build stateful multi-agent workflows with memory, tool integration, and human-in-the-loop capabilities
• Develop Retrieval-Augmented Generation pipelines and integrate vector databases and embeddings
• Use LangSmith for tracing, debugging, observability, automated testing, and evaluation
• Create evaluation datasets and automated testing frameworks to measure LLM performance and reduce regressions
• Optimize prompts, reasoning workflows, and agent performance through experimentation and monitoring
• Deploy, monitor, and maintain AI agents in production environments
• Build dashboards to monitor latency, cost, response quality, and hallucination rates
• Collaborate with cross-functional teams to integrate AI agents into enterprise applications
• Follow best practices for AI application development, testing, deployment, and monitoring

Nice to have:

• Experience in the Payments/Financial Services domain
• Experience with cloud platforms such as Azure, AWS, or GCP
• Knowledge of AI model evaluation frameworks and LLMOps best practices
• Experience working in Agile/Scrum environments
• Experience developing enterprise-scale AI agent solutions
• Strong understanding of the AI agent lifecycle: Build, Test, Evaluate, Deploy, Monitor
• Passion for building reliable, scalable, and production-ready Generative AI applications
• Excellent communication and collaboration skills

More skills:

Agentic AI, MS SQL, Tool calling, Memory management

Other:

• Employment type: Full-time
• UST is a global digital transformation solutions provider
• More than 20 years of experience
• Over 30,000 employees in 30 countries