Software Engineering - Agentic AI

• Software Engineer – Agentic AI
  

About The Role

Software Engineer

Responsibilities

• Design, implement, and optimize end-to-end agentic AI workflows using frameworks (LangGraph, LangChain, etc.).
• Develop and fine-tune LLM pipelines, integrate with vector databases and retrieval-augmented generation (RAG).
• Build robust, production-grade APIs for real-time AI services.
• Collaborate with product, engineering, and data science teams to solve complex business problems using AI/ML.
• Deploy models in cloud environments (AWS, Azure or GCP), leveraging containerization (Docker/Kubernetes) and MLOps best practices.
• Automate data ingestion, cleaning, and feature engineering pipelines for training and serving large-scale models.
• Ensure responsible AI practices, model governance, and safety throughout the ML lifecycle.
• Contribute to code reviews, technical documentation, and project planning.
  

Requirements

• Bachelor’s or Master’s in Computer Science, Engineering, AI, or a related field.
• 2+ years hands-on experience with LLMs (e.g., GPT, Llama), prompt engineering, and agent orchestration frameworks (LangGraph, LangChain, AutoGen, CrewAI).
• Proven experience with Python, LLM technologies, advanced prompt engineering, and agent workflows (LangGraph, LangChain, CrewAI), async programming (asyncio), and backend frameworks (FastAPI, Django).
• Skilled in NLP, LLMs (fine-tuning, prompt engineering, vector stores), and retrieval-augmented generation.
• Experience with cloud platforms (AWS/Azure).
• Familiarity with containerization (Docker/Kubernetes) and CI/CD for ML models.
• Strong problem-solving and debugging skills.
• Excellent communication and teamwork abilities.
• Passion for continuous learning and driving innovation.
  

Preferred

• Experience with real-world GenAI deployments or agent orchestration systems.
• Exposure to model versioning, model monitoring, and automated model retraining.
• Interest in the logistics/supply chain sector.
  

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