Responsibilities

- Build and operate autonomous agents for inbound, outbound, pipeline management, and customer engagement workflows.
- Design approval gates, handoffs, and escalation paths that maintain appropriate human oversight.
- Develop and run agent evaluation frameworks in development and production.
- Instrument model and tool calls and build observability and measurement connecting agent actions to pipeline and revenue.
- Ship MCP servers, agent skills, and web applications integrating with CRM, communication, and data warehouse systems.
- Set technical direction for agent development, evaluation, and operations across the team.
- Architect shared codebases and establish contribution, convention, testing, and review practices.
- Work directly with sellers to ground agent designs in real workflows and iterate from observed results.
- Identify repeatable patterns and share insights with Product and Engineering teams.

Requirements

- Robust programming skills in Python or TypeScript and experience building and operating production applications.
- Production experience with LLMs, context engineering, agent development, MCP development, tool use, and evaluation frameworks.
- Experience using evaluations and transcript analysis to identify and resolve problems in LLM systems.
- Working fluency with data, including SQL.




- Ability to navigate ambiguity and ship without a detailed specification.
- Passion for safe and beneficial AI and consideration for the people using the systems built.
- Preferred: 8+ years in software engineering, ML engineering, or forward deployed engineering roles.
- Preferred: Experience with Claude Code and the Claude Agent SDK.
- Preferred: Experience with CRM, sales engagement, enrichment, conversation intelligence, or revenue teams.
- Preferred: Experience growing codebases with many contributors, including inner-source or open-source environments.
- Preferred: Applied ML and experimentation experience involving A/B testing, propensity models, recommendations, or causal analysis.
- Preferred: Exceptional communication skills for explaining technical concepts to non-technical partners.

Benefits

- Hybrid policy requiring staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship with immigration-lawyer support when applicable.
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
- Anthropic is headquartered in San Francisco and is a public benefit corporation.

📌 AI Engineer, GTM Claudification (India)
🏢 Anthropic
📍 India