DCX Agentic AI Engineer

Alation India Pvt Ltd.

Chennai District

On-site

INR 1,800,000 - 3,000,000

Full time

11 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Flexible time off

Health benefits

Commuter benefits

Continuous learning opportunities

Job summary

Alation India Pvt Ltd. is hiring an Agentic AI Engineer for Content & Enablement Systems. You’ll own the build of scalable enablement infrastructure, designing systems that synchronize, structure, and personalize content.

You’ll work with enablement teams and technical partners to deliver end-to-end solutions with ownership and mentorship for growth. You will drive agentic workflows, handle retrieval and MCP/server integrations, and build robust evaluation loops to ensure quality before

Qualifications

3–5 years of software engineering experience building agentic AI systems or retrieval-augmented applications.
Systems-first mindset for modular AI agents across diverse data sources.
Experience mapping end-to-end agentic workflows to mitigate failures in production.
Experience with search/retrieval infrastructure and relevance tuning.
Familiarity with MCP server integration and API integration.
Ability to collaborate cross-functionally with non-engineering stakeholders.
Good judgment on AI output requiring human review vs autonomous shipping.
Prior experience in fast-moving product environments is a plus.

Responsibilities

Build and evaluate agentic AI systems and workflows end-to-end.
Design orchestration, retries, guardrails, and evaluation harnesses.
Apply skills across drift detection, content pipelines, and personalization.
Create evaluation loops to catch failures before production.
Handle search indexing, retrieval, and MCP integration.
Support retrieval infrastructure end-to-end with indexing and tuning.
Integrate MCP servers and APIs as core system components.
Develop content-review tooling to enable efficient human oversight.
Collaborate with Product/TM/Support/Sales as ongoing stakeholders.

Skills

Agentic AI systems

RAG pipelines

retrieval-augmented apps

API integration

MCP server integration

content pipelines

drift-detection

evaluation frameworks

search/retrieval infrastructure

knowledge-management systems

Tools

MCP (Model Context Protocol)

Job description

Job Description

Alation is pioneering the next era of data intelligence — powered by AI agents and trusted data. Organizations around the world rely on Alation to drive self-service analytics, cloud transformation, data governance, and AI innovation. Our technology helps enterprises connect people and data to make faster, smarter, and more confident decisions. With more than $340M in funding – valued at over $1.7 billion and more than 650 customers, including 40% of the Fortune 100. As data becomes the foundation of every business, Alation is leading the way in helping organizations unlock their full potential. By bringing intelligence, automation, and trust to every interaction, we empower customers to scale data-driven innovation with confidence and speed. Joining Alation means being part of a winning team shaping the future of AI-powered data intelligence. We move fast, think big, and deliver results together.

Agentic AI Engineer - Content & Enablement Systems

As the Agentic AI Engineer for Content & Enablement Systems within Digital Customer Experience, you’ll spearhead the engineering behind Alation’s next-generation enablement infrastructure. This is a high-impact, hands‑on role where you’ll own the build—designing the systems that synchronize, structure, and personalize content at scale. You’ll thrive in a collaborative environment that values your autonomy: while you lead end-to-end development, you'll partner closely with enablement team leads and technical partners. This partnership model ensures you have a supportive framework for tackling complex challenges and the mentorship to accelerate your professional growth, offering you true ownership over meaningful technical systems with a built-in foundation for success.

Core Responsibilities

Agentic system building & evaluation
Design and ship agentic workflows end-to-end — not just prompting, but the surrounding tooling: orchestration, retries, guardrails, and evaluation harnesses
Apply the same core skillset across genuinely different problems — drift detection, content pipelines, and personalization — rather than specializing narrowly in one
Build evaluation loops that catch failures before they reach production, not just after
Search indexing, retrieval & API/MCP integration
Support retrieval infrastructure end-to-end — indexing strategy, relevance tuning, and diagnosing degradation in retrieval quality
Integrate and reason about MCP servers and APIs as a first-class part of system design, not a bolt‑on Editorial judgment & enablement ops
Build systems that make human review of AI-generated content efficient, recognizing that a quality gate is still needed
Partner with Product Management, Product Marketing, Support, and field teams as ongoing stakeholders — not just at requirements‑gathering, but throughout the build

What You Bring

3–5 years of relevant software engineering experience, with hands‑on work building agentic AI systems, RAG pipelines, or similar retrieval-augmented applications
A systems-first mindset for designing modular AI agents that can scale across disparate data sources without creating technical debt.
Experience mapping complex, end-to-end agentic workflows to anticipate and mitigate failure modes before they reach production.
Experience with search/retrieval infrastructure — indexing, ranking, or relevance tuning
Familiarity with API integration and/or MCP (Model Context Protocol) server integration in agent-based systems
Comfort working cross‑functionally with non-engineering stakeholders (PM, PMM, Support, Sales) to translate business content needs into technical systems
Strong judgment on when AI output needs human review vs. when it can ship autonomously
A Big plus Experience in a fast-moving product company environment (vs. purely research or consulting settings)
Prior experience with content/documentation pipelines, developer enablement tooling, or knowledge-management systems
Experience with drift-detection or sync systems between code and documentation
Familiarity with evaluation frameworks/tooling for LLM-based agents specifically (not just traditional ML evaluation)

Equal Employment Opportunity

Alation, Inc. is an Equal Employment Opportunity employer.

All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

This company participates in E-Verify.

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, name, religion, color, national origin, gender identity and expression, sexual orientation, age, marital status, veteran status, or disability status.

Why Alation?