AI Agentic 开发者

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:

• 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.

• Takes full end-to-end ownership of assigned GenAI systems, including architectural decisions, feature delivery, operational readiness, production support, and cost optimization.

• 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.

• 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.

• Implements LLM orchestration patterns including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured output generation.

• Builds and maintains observability pipelines for AI systems platforms, including trace analysis, token usage tracking, cost monitoring, and quality metrics.

• Provides technical guidance and mentorship across the team, upskilling members on agentic development practices, prompt engineering techniques, and AI tool integration.

• 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.

• Responsible for troubleshooting and issue analysis, as well as coding, testing, and implementing software enhancements across the full stack.

• Ensures timely delivery of AI initiatives, proactively communicating risks, blockers, and schedule impacts, and driving resolution to maintain delivery commitments.

• Demonstrates exceptional prioritization and multitasking skills to manage concurrent deliverables across services and platforms, handle operational requests, and resolve production issues effectively.

• 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.

• Available to support/unblock planned deployments during off hours as needed.

We are excited about you if you have the following experience:

• AI Coding Assistants (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf)

• Generative AI Application Development/Generative AI Design Patterns

• GenAI cloud platforms (Google Cloud Vertex AI, Gemini, Anthropic Claude, OpenAI)

• LLM Observability and Tracing (LangFuse, LangSmith, or similar)

• Prompt Engineering techniques (e.g., chain-of-thought, few-shot learning, structured outputs)

• Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM

• React, TypeScript, Zustand state management, Material-UI (MUI)

• Data visualization libraries (Recharts, D3.js)

• MySQL/PostgreSQL databases, query optimization, Alembic migrations

• Git, CI/CD, GitHub Actions, ArgoCD

• Docker and docker-compose

• Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, IAM)

• Authentication and Authorization (OAuth 2.0, Okta, JWT, RBAC)

• Kubernetes and container orchestration

• Grafana, Prometheus Monitoring

• Dynatrace + Splunk working knowledge to setup and monitor service alerts

• RESTful API Design Patterns, OpenAPI/Swagger Documentation

• Experience with markup languages such as JSON and YAML

• UV package manager, Poetry, modern Python tooling

Additional Qualifications:

• Bachelor's or master's degree in computer science, AI/ML, Information Technology, or equivalent experience

• 5+ years of software engineering experience with at least 2+ years focused on AI/ML or GenAI applications

• Proven track record of delivering production AI systems with end-to-end ownership

• Expert-level proficiency with AI coding assistants and agentic development workflows

• Strong full-stack development skills across Python and TypeScript/React ecosystems

• Good communication skills (verbal and written) with ability to articulate complex AI concepts to diverse audiences

• Strong delegation skills with the ability to receive, prioritize, and execute on delegated tasks autonomously

• Proven ability to context-switch between different codebases, tech stacks, and AI platforms efficiently

• Leadership mindset with experience mentoring engineers and driving technical decisions

• Being able to seamlessly integrate new AI technologies and agentic workflows into current work streams

• Intermediate to advanced knowledge of microservice design patterns and trade-offs

• Understanding of responsible AI practices including bias, safety, and ethical considerations

• Experienced on Agile methodology and tools (Jira, Confluence)

• Work experience in the Retail industry is a plus

Originally posted on Himalayas