Software Engineer (Full-Stack/Backend & Applied AI)

We are looking for a Software Engineer who operates at the intersection of high-scale full-stack engineering and cutting-edge Applied AI. Requirements 7+ years of backend or full-stack engineering experience, including 2+ years building production-grade agentic systems in distributed environments. Strong proficiency in Python (preferred) or TypeScript/Go/Rust, with the ability to transition to Python. Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, DeepAgents, OpenClaw, Hermes, or equivalent. Proven expertise in designing cloud-native, event-driven architectures using AWS, Kubernetes, Terraform, CI/CD, GraphQL or REST APIs, and messaging systems (SQS/SNS). Experience with PostgreSQL, DynamoDB, MongoDB, and preferably vector databases. Familiarity with AI-native development tools such as Claude Code, Cursor, or Copilot. Excellent communication skills and the ability to work independently in a highly autonomous environment. Will be a plus Experience with React, Next.js, or similar frontend technologies. What we offer Help and support from our caring HR team 15 working days of annual paid leave The exchange of experience and work with talented colleagues Last but not least - valuable compensation for your efforts Responsibilities Architect & Build: Design and deliver agentic workflows and scalable microservices, primarily using Python, within a distributed system architecture. AI Integration: Lead the integration of Generative AI capabilities, including LLM APIs, RAG pipelines, and agentic workflows into our production systems. Agentic Operations & Observability: Implement operational practices, observability, and autonomous monitors (e.g., detecting intelligence drift or hallucinations) to ensure AI reliability in production. Elevate Engineering: Drive overall engineering quality and speed by implementing AI-SDLC practices, ensuring high standards through rigorous code reviews, test automation, and by establishing continuous, trace-based quality evaluation for all software and agentic components. Mentor & Innovate: Evaluate emerging AI tooling, mentor fellow engineers, and contribute directly to our technical roadmap and Agentic AI-SDLC and Production Operations. Originally posted on Himalayas