Software Engineer – Agentic AI

About the role

The Technology Innovation Institute is building a startup focused on a secure, AI‑enabled decision‑support platform that fuses multi‑sensor data such as geospatial layers, imagery and video. As a Software Engineer specializing in Agentic AI, you will design and deliver autonomous AI systems that can reason, plan and act with minimal human input, helping to scale the product for industrial use.

Key responsibilities

• Design and implement agentic AI architectures capable of autonomous decision‑making, tool use and multi‑step task execution.
• Build and maintain multi‑agent frameworks, including planning, coordination, memory and feedback loops.
• Integrate large language models and other AI components with external APIs, databases and enterprise systems.
• Develop robust orchestration layers for task routing, context management and safety controls.
• Implement scalable backend services for agent execution, state management and event‑driven workflows.
• Optimize performance through prompt engineering, model fine‑tuning, retrieval‑augmented generation and caching strategies.
• Collaborate with product, data and engineering teams to deliver end‑to‑end solutions for real‑world use cases.
• Ensure compliance with security, privacy and regulatory requirements and build monitoring and evaluation pipelines.

Required profile

• At least 5 years of professional software engineering experience.
• Strong background in AI/ML engineering and building production‑grade systems.
• Proven ability to design scalable, reliable and secure software architectures.
• Experience working in cross‑functional teams and delivering complex technical projects.

Required skills

• Python
• TypeScript
• Docker
• Kubernetes
• AWS
• DevOps practices
• LangChain, LlamaIndex, vector stores, RAG pipelines
• Model fine‑tuning, embeddings, OpenAI tools
• Messaging brokers, GitHub workflows, event‑driven design
• Databases, APIs, AI frameworks, software architecture, distributed systems