AI Agentic Developer
Details:
We are seeking an AI Agentic Developer - to spearhead our next-generation AI-powered development initiatives. You'll be responsible for developing cutting-edge solutions
Responsibilities:
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Designs, develops, deploys, and maintains AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI, while adhering to development best practices and quality standards.
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Takes full end-to-end ownership of assigned GenAI systems, including architectural decisions, feature delivery, operational readiness, production support, and cost optimization.
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Leads by example in adopting AI-augmented development workflows, demonstrating effective collaboration with AI coding assistants (Claude Code, GitHub Copilot) to accelerate delivery and improve code quality.
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Works closely with solution engineers, architects, and product teams to develop technical design specifications and validate that proposed solutions align with architectural standards, non-functional requirements, and business needs.
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Implements LLM orchestration patterns including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured output generation.
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Builds and maintains observability pipelines for AI systems platforms, including trace analysis, token usage tracking, cost monitoring, and quality metrics.
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Provides technical guidance and mentorship across the team, upskilling members on agentic development practices, prompt engineering techniques, and AI tool integration.
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Performs cross-platform analysis and trade-off assessments across backend (Python/FastAPI), frontend (React/TypeScript), and AI services (GCP Vertex AI, LangFuse) to ensure consistency and identify optimization opportunities.
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Responsible for troubleshooting and issue analysis, as well as coding, testing, and implementing software enhancements across the full stack.
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Ensures timely delivery of AI initiatives, proactively communicating risks, blockers, and schedule impacts, and driving resolution to maintain delivery commitments.
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Demonstrates exceptional prioritization and multitasking skills to manage concurrent deliverables across services and platforms, handle operational requests, and resolve production issues effectively.
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Uses observability and monitoring tools (e.g., LangFuse, Grafana, Dynatrace, Splunk) to actively review dashboards, investigate anomalies, monitor AI model performance, and track cost metrics.
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Available to support/unblock planned deployments during off hours as needed.
We are excited about you if you have the following experience:
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AI Coding Assistants (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf)
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Generative AI Application Development/Generative AI Design Patterns
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GenAI cloud platforms (Google Cloud Vertex AI, Gemini, Anthropic Claude, OpenAI)
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LLM Observability and Tracing (LangFuse, LangSmith, or similar)
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Prompt Engineering techniques (e.g., chain-of-thought, few-shot learning, structured outputs)
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Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM
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React, TypeScript, Zustand state management, Material-UI (MUI)
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Data visualization libraries (Recharts, D3.js)
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MySQL/PostgreSQL databases, query optimization, Alembic migrations
- Git, CI/CD, GitHub Actions, ArgoCD
- Docker and docker-compose
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Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, IAM)
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Authentication and Authorization (OAuth 2.0, Okta, JWT, RBAC)
- Kubernetes and container orchestration
- Grafana, Prometheus Monitoring
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Dynatrace + Splunk working knowledge to setup and monitor service alerts
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RESTful API Design Patterns, OpenAPI/Swagger Documentation
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Experience with markup languages such as JSON and YAML
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UV package manager, Poetry, modern Python tooling
Additional Qualifications:
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Bachelor's or master's degree in computer science, AI/ML, Information Technology, or equivalent experience
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5+