Senior Software Engineer - Agentic AI

Job Description

About the Role

Kaleris is looking for a Senior Software Engineer with deep expertise in agentic AI systems, LLM orchestration, and production-scale deployment. You will shape and deliver strategic GenAI features, mentor team members, and drive applied AI projects utilizing frameworks like LangGraph.

Responsibilities

• Architect and lead development of advanced agentic AI systems using LangGraph or similar frameworks.
• Own the full model lifecycle: research, solution design, prototyping, optimization, testing, and production deployment.
• Lead and mentor the AI team, setting best practices for model quality, scalability, and responsible AI.
• Integrate LLMs with enterprise data, orchestration systems, and workflow automation (RAG, vector search, API development).
• Collaborate with engineering, product, and business stakeholders to define AI-driven product features and roadmaps.
• Conduct technical reviews, establish coding standards, and ensure codebase robustness.
• Optimize AI infrastructure for performance, cost, and reliability (cloud, MLOps, container orchestration).
• Champion innovation: stay ahead of industry trends, bring actionable insights and drive adoption of new AI technologies.
• Ensure AI model governance, fairness, and compliance with ethical/organizational standards.
  
  

• Bachelor’s or Master’s (PhD a plus) in Computer Science, Engineering, or related field.
• 5+ years building and deploying AI/ML systems (at least 2+ years with LLMs or agentic frameworks in production). Proven track record building agentic patterns (ReAct, Agentic Loops), multi-agent systems, and graph-based orchestration engines.
• Proven experience with Python, LLM technologies, advanced prompt engineering, and agent workflows (LangGraph, LangChain, CrewAI), async programming (asyncio), and backend frameworks (FastAPI, Django).
• Deep understanding of cloud AI platforms (AWS/Azure), containerization (Docker/Kubernetes), and CI/CD for ML ops.
• Demonstrated leadership in AI solution design, code and architecture reviews, and mentoring junior engineers.
• Experience with retrieval pipelines, vector databases, and cloud-native architectures.
• Proficient with full-stack AI development: APIs, microservices, data pipelines.
• Strong knowledge of MLOps tools, monitoring, versioning, and responsible AI.
• Excellent communication, influencing, and cross-team collaboration skills.
• Intellectual curiosity, a drive for innovation, and a passion for making an impact with AI.
  
  

• Experience building enterprise agentic AI or autonomous workflow orchestration systems.
• Expertise with neural search, advanced RAG, and enterprise data integration.
• Certifications in AI/ML, cloud, or relevant technologies.
• Logistics/supply chain software experience is a strong plus.
  
  

• Competitive salary & comprehensive benefits
• Inclusive, diverse, and collaborative team culture
• The chance to build AI products at the frontier of agentic intelligence for supply chain