Senior Software Dev Engineer - AI Agents/ Remote/ Interim

We are looking for at least 4 months, a senior software development engineer to own the intelligence layer of an AI-powered voice and text assistant deployed in a live operational environment. The system runs on AWS Bedrock and AgentCore with an agentic framework, and is in early user testing with known architectural issues to resolve before scaling. This is a hands-on, high-autonomy role. Added 16/10/2026

• Experience building AI Platforms
• Working with Python in a multinational environment

¿Dónde vas a trabajar? Multinational well known company

Descripción Reporting to the head of this team, your main responsibilities will be:

• Agent architecture. Redesign the state machine for multi-turn, stateful conversations, covering position tracking, step confirmation logic where delivered is not the same as confirmed, prevention of premature advancement, back-navigation and re-anchor patterns.
• Reasoning and routing. Refactor the reasoning pipeline, covering separation of reasoning from speech, confidence gating, fallback and clarification routing, and removal of advance-only defaults.
• Retrieval and RAG. Improve retrieval quality through embedding pipeline clean-up, hybrid search, reranking using semantic and cross-encoder methods, and separation of metadata lookup from semantic search paths.
• Multilingual architecture. Evaluate and implement a multilingual solution across the full pipeline, covering translation accuracy, voice recognition for non-native speakers and cross-lingual retrieval.
• Evaluation harness. Build and maintain an offline agent evaluation framework covering human versus agent answer parity, flow success rate, grounding and hallucination detection, and session-level trace analysis. Define and instrument the pilot quality gates.
• Voice and speech to text. Work with real-time speech to text at the agent layer, covering mishear recovery, low-confidence input handling, and accent and dialect robustness.
• Observability. Instrument agent traces for latency, cost per turn, tool selection accuracy and session quality.

We’re looking for a Senior AI Agent Engineer with expert Python skills and proven experience building and operating LLM-powered agent systems in production. The ideal candidate will have hands-on expertise with AWS Bedrock, AgentCore, and agentic frameworks such as Strands, LangGraph, or LangChain, as well as strong knowledge of RAG architectures, embeddings, vector search, AI evaluation frameworks, observability, and performance optimization. Experience delivering AI agents to real users is highly valued, while exposure to AWS engineering environments, multilingual AI, Voice AI (Transcribe, Whisper), and multimodal solutions would be a strong advantage.