Lead Python with AI Engineer

      Lead the pod team: plan sprints, assign work, review code and unblock the team

•         Translate client business problems into technical solution designs and delivery plans

•         Architect AI solutions on GCP, including GenAI, LLM and agent-based workflows

•         Design voice and document management solutions: speech-to-text, text-to-speech, conversational voice agents, document extraction and classification

•         Own production quality: debugging of complex issues, root-cause analysis, monitoring and performance tuning

•         Run client workshops, demos, status reviews and steering updates

•         Manage scope, timelines, risks and escalations with the client and internal leadership

•         Set coding, security and documentation standards for the pod

•         Mentor and grow the Senior and Junior FDEs

Required skills

•         GCP stack: deep hands-on experience with Vertex AI, Cloud Run, Cloud Functions, BigQuery, Cloud Storage, Pub/Sub, IAM and networking basics

•         Python: expert level; production APIs (FastAPI or Flask), async processing, testing and packaging

•         AI: GenAI and LLMs (Gemini or similar), prompt design, retrieval-augmented generation (RAG), agent frameworks, model evaluation

•         Voice and document management: Speech-to-Text, Text-to-Speech, Dialogflow CX or similar; Document AI, OCR and document workflows

•         Debugging: proven track record resolving production incidents across cloud services, logs (Cloud Logging) and traces

•         Communication and presentability: confident with senior client stakeholders; clear written updates; strong whiteboarding and demo skills