Senior Software Engineer - Agentic AI at Kaleris

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.

Requirements

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.

Highly Desired

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.

Why Join Kaleris?

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

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Life at Kaleris

The largest companies in the world rely on Kaleris software solutions to gain real-time visibility into transportation and yard operations, manage and maintain transportation assets, and automate and optimize inventory orchestration throughout the supply chain. Kaleris combines best-of-breed multimodal transportation management (TMS) and yard management (YMS) capabilities with real-time visibility, accessorial charges management, electronic documentation (eBOL/ePOD), transload management, MRO, enterprise analytics, and a multitude of other functionalities under one roof to solve multiple execution challenges for supply chain teams.

Thrive Here & What We Value

Equalopportunity employer that values diversity

No discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Passionate about turning data into actionable insights and collaborating with clients globally

Willing to travel 25% of the time to customer sites around the globe

Competitive compensation package

Paid Leave (Vacation, Parental, Volunteering time off)

Flexible Work Policy

Insurance Coverage

Tuition Reimbursement

Career growth and mentorship opportunities

Equalopportunity employer that values diversity at Kaleris

Senior Software Engineer - Agentic AI