Kormangala Karnataka Sr staff agentic ai engineer bengaluru, karnātaka, india Jobs – 18359 Open Jobs Today

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Sr Staff Agentic AI Engineer - Bengaluru, Karnātaka, India

Sourceo
Bengaluru, Karnataka

Apply Now

Job details

Full-time
4 days ago

Qualifications

CI/CD
Law
MCP
React
Full-stack development
Enterprise Software
Java
Master's degree
Databases
Distributed systems
Continuous integration
APIs
Less (style sheet language)
AI
TypeScript
Communication skills
Graph databases
Python

Full job description

Job Summary

Build the Surfaces Where Humans Command the Agents

Equinix Incubation builds the agentic systems that run the software delivery lifecycle end to end: AI agents, with humans directing the work and owning every gate. Agents without great human surfaces are just noise. This role builds the surfaces.

You will own the consoles and dashboards through which product managers approve, engineers review, security screens, and executives see value: decision inboxes, review queues, gate approvals, and live value boards. It is full-stack work where the front end is the product and the stakes are trust.

Responsibilities

Build the Consoles

Design and build persona consoles: decision inboxes, review surfaces, approval queues, and commitment views, one clear surface per role

Make agent work legible: what an agent did, why, with what confidence, and what needs a human, rendered so a busy owner decides in seconds

Sweat the interaction details with UX; approval fatigue is the failure mode, and design is the defense

Build the Value and Telemetry Layer

Build the dashboards that report cycle time, throughput, quality, adoption, agent health, and cost, live from the pipeline

Turn telemetry into narrative: executive value boards that show committed versus realized without manual curation

Instrument everything; the platform's credibility rests on numbers nobody has to assemble by hand

Engineer the Full Stack

Build the backend-for-frontend layer, APIs, and event consumers that connect consoles to the orchestrator and enterprise systems such as Jira

Implement enterprise-grade authentication and authorization (SSO, OAuth) and respect data boundaries by design

Ship on the approved enterprise React stack with CI/CD, automated testing, and observability as defaults

Raise the Bar

Use agents in your own workflow and feed friction back into the platform; you are user zero

Set frontend and BFF patterns others reuse: components, state, accessibility, performance

Bring craft: the fundamentals still decide whether this works

What Success Looks Like

Approvers clear their queues in minutes and trust what they see; nobody asks for a spreadsheet export as a workaround

Executives quote your value board in their own decks

Console patterns you built become the default for every new agent the fleet adds

The stack stays fast, tested, and observable as surfaces multiply

Qualifications

Required Qualifications

6-10 years of professional software engineering experience, including ownership of large-scale production systems.

Significant hands-on experience designing and deploying LLM-powered applications, AI agents, or intelligent automation platforms.

Experience designing evaluation frameworks, testing strategies, and governance models for AI-enabled systems.

Expert-level proficiency in Python or Java or TypeScript.

Strong background in distributed systems, APIs, platform engineering, cloud-native architectures, and event-driven systems.

Experience leading technical initiatives across teams.

Strong communication skills with the ability to explain complex AI systems to technical and non-technical audiences.

Proven ability to influence architecture, standards, and engineering direction.

Preferred Qualifications

Deep experience with agent frameworks and technologies such as MCP, A2A, LangGraph, OpenAI, Anthropic, Bedrock, or Vertex AI.

Experience building developer platforms, internal engineering products, or enterprise orchestration systems.

Experience with RAG architectures, embeddings, vector databases, knowledge graphs, and enterprise search.

Experience leading AI governance, privacy reviews, security reviews, and responsible AI initiatives.

Strong record of technical leadership through open-source contributions, patents, technical publications, or industry speaking engagements.

Why This Role

Incubation is a durable capability, not a project team: the team persists, and the product rotates. Agentic delivery is product one; the next incubation bets follow. Every agent the platform adds makes the human surfaces more important, not less. You will define how a global organization sees, steers, and trusts its AI workforce.

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing [this form](https://forms.office.com/pages/responsepage.aspx?id=cbKtcscv_kql7p3mpZ9r-50RYwLmhPpKtmEYPKOcl8hURTBBN0xMTllDRVc0VkJUSEYxMEk1V0NJQS4u&origin=lprLink).

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more[here](https://careers.equinix.com/equinix-ai-guidance-for-candidates).

This posting is a new position within our organization.

Apply Now

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