Senior Software Engineer - Agentic AI

Overview

Responsibilities and experience expected for a senior software engineer role focused on production-ready AI systems, high-throughput APIs, and distributed workflows.

Responsibilities

• Building production-ready AI-powered systems using Python and http (FastAPI)/PubSub
• Implementing agentic AI workflows and complex agent orchestration patterns
• Rapidly shipping features while maintaining code quality and test coverage
• Deploying and managing services in Kubernetes environments
• Integrating monitoring, logging, and debugging tools for AI systems
• Optimization of agent performance, costs, and latency in production

Required Skills and Experience

• 6+ years of software engineering experience, with deep Python expertise including type hints, data classes, and modern Python patterns
• Production experience with FastAPI - building, deploying, and maintaining high-throughput APIs with proper error handling, middleware, and async patterns
• Hands-on experience shipping agentic AI systems using LangChain/ LangGraph (Or similar frameworks) - not just side projects, but actual production systems handling real workloads
• Strong Kubernetes experience - general understanding, debugging pods, managing resources, and using Telepresence for local development (NB- we have an infrastructure team for production management)
• Proven ability to ship code quickly in startup environments - comfortable with changing requirements, making pragmatic trade-offs, and iterating fast
• Demonstrated commitment to code quality - comprehensive test coverage, CI/CD pipelines, code reviews, and refactoring legacy code while maintaining uptime
• Real-world experience with vector databases (Pinecone, Qdrant, pgvector) including indexing strategies, similarity search optimization, and hybrid search
• Production experience managing LLM costs and latency - implementing caching layers, routing between models, handling rate limits and retries
• Built event-driven systems at scale using Kafka/RabbitMQ/Redis Streams with proper error handling and dead letter queues
• Experience debugging distributed systems - tracing requests, analyzing logs, performance profiling, and fixing production incidents
• UK/EU timezone

Nice to Have

• Familiarity with trade finance or document processing domains
• Knowledge of prompt engineering and versioning best practices
• Experience with gradual migration of legacy systems
• Understanding of security considerations for AI systems (prompt injection, data isolation)