17 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, build, ship, and operate LLM-powered agents for software delivery lifecycle activities.
- Engineer agent scaffolding including tool use, MCP, agent-to-agent handoffs, event-driven orchestration, and enterprise system integrations.
- Build evaluation suites, guardrails, human-in-the-loop approval points, review thresholds, and escalation paths for trustworthy agent operation.
- Instrument agent quality, latency, cost, and adoption; analyze failures and tune prompts, context, and configurations.
- Build retrieval and knowledge layers over process libraries, decision histories, code, and delivery data.
- Establish reusable prompt patterns, context standards, agent configurations, and full agent lifecycle practices.
- Contribute to orchestrators, persona consoles, dashboards, and the enterprise AI platform.
- Apply strong software engineering practices including architecture, code quality, testing, CI/CD, and cloud-native design.
- Communicate agent behavior and engineering tradeoffs clearly to technical and executive audiences, while mentoring and setting standards.
Requirements
- 6+ years of professional software engineering experience with a record of shipping and operating production systems.
- Hands-on experience building LLM-powered applications or agents, including prompt and context engineering, tool calling, retrieval, or multi-agent workflows.
- Experience designing AI system evaluations or strong test-engineering instincts applicable to non-deterministic software.
- Strong proficiency in Python or TypeScript and solid API, microservices, and event-driven architecture skills.
- Fluency with Git, automated testing, CI/CD, observability, and cloud platforms.
- Sound judgment about automation trust, human review, and clear communication of that reasoning.
- Preferred experience with MCP, A2A, Anthropic APIs, OpenAI APIs, Bedrock, Vertex, or LangGraph.
- Preferred experience building developer platforms, orchestration systems, or SDLC tooling with Jira, GitHub, or ServiceNow integrations.
- Preferred knowledge-engineering experience with retrieval systems, embeddings, or enterprise knowledge graphs.
- Preferred experience taking AI features through enterprise security, privacy, and responsible AI review.
- Evidence of engineering craft through open-source contributions, technical writing, or internal platforms with devoted users.
Benefits
- The team provides startup-like autonomy with the reach of a global platform company.
- The position is part of a durable incubation capability whose product focus can evolve beyond agentic delivery.
- Equinix provides an employment process intended to be open to individuals with disabilities and offers accommodations upon request.
- Equinix is an equal employment opportunity and, in the U.S., affirmative action employer.
Tech Stack
Categories
About Equinix
Equinix is a public digital infrastructure company that operates a global platform of colocation and interconnection data centers for enterprises, cloud and network providers. It sells space, power, and connectivity, plus services such as Equinix Fabric, Network Edge, and Equinix Metal for hybrid multicloud and edge deployments. Founded in 1998 and headquartered in Redwood City, California, it is listed on NASDAQ (EQIX) and runs hundreds of IBX facilities across major metros worldwide.