pubX

Senior AI Engineer

Skills

Software DevelopmentTypescriptAgentic AI DevelopmentAmazon Web ServicesLangchainLanggraphLarge Language Model Operations

Role

What the job involves

The main requirements, responsibilities and hiring steps.

Strong backend engineering fundamentals including API-first design data modeling distributed systems performance security authentication authorization and production operations
Hands-on experience integrating LLMs or ML components into real product systems including streaming responses async jobs state management caching retrieval grounding evaluations and monitoring
Practical experience with agentic AI frameworks and patterns such as LangChain LangGraph LlamaIndex OpenAI Anthropic APIs tool calling structured outputs agent routing multi-agent workflows and human-in-the-loop systems
Experience with LLM observability and evaluation workflows ideally using Langfuse LangSmith OpenTelemetry custom evaluation harnesses prompt version management datasets regression testing and LLM-as-judge approaches
Strong hands-on experience with AI-assisted development workflows in a real codebase including using coding agents to navigate large repositories propose multi-file changes write and update tests review diffs and iterate safely
Experience working with distributed systems with event-driven patterns including Kafka SQS RabbitMQ pub sub architectures background workers retries dead-letter queues idempotency and workflow orchestration
Hands-on AWS experience with production operations monitoring incident response infrastructure as code cost awareness and secure deployment practices

Design and build backend services and APIs across REST GraphQL and gRPC for agentic AI product workflows
Develop production-grade AI agent systems using modern frameworks patterns and robust orchestration techniques
Integrate agent interoperability patterns such as MCP and A2A while improving reliability latency cost and user experience
Create web applications and event-driven components that support long-running reasoning tasks async workflows and observability