Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.
We are looking for a
Full Stack Agentic AI Engineer
to join our
Agentic AI team . In this role, you will design and build scalable systems that power
conversational AI agents
and orchestrate agentic workflows. You’ll work across the stack—front‑end, back‑end, and cloud—while leveraging AI coding assistants and modern agentic frameworks to deliver enterprise‑grade solutions. A key part of your responsibilities will include
developing and automating evals
to rigorously test Agentic AI applications for performance, reliability, and safety.
About the Team
Our Agentic AI team is pioneering
agentic AI development . We build extensive
Agentic AI solutions
spanning across multiple B2B and B2C use cases. Our mission is to deliver intelligent, autonomous systems that improve engagement, reduce operational overhead, and ensure compliance and quality.
What You’ll Do (Responsibilities)
Build and orchestrate AI agents
end‑to‑end: design tasks, tools, memory, planning, and guardrails; implement agent workflows using modern agentic frameworks (e.g., LangChain, Agents SDKs).
Clear communication
and
cross‑functional collaboration
with Product, QA, Support, Design and our Customers to deliver outcomes; communicate technical decisions and trade‑offs clearly to both technical and non‑technical stakeholders.
Develop with AI coding assistants
(e.g., Copilot‑style tools) to accelerate delivery while ensuring output meets
enterprise design, coding, security, reliability, performance, and compliance standards.
Ensure you do not over-engineer solutions. Manage coding agents.
Eval first development
(offline/online) focused on Agentic AI application quality: define and build metrics and KPIs that showcase agent performance and business impact. Contribute to existing eval framework or standardizing evals across AI products.
Architect for scale
across the stack (MCP Servers, API design, state/queueing, caching, streaming, observability, multi‑tenant isolation, cost controls)
Translate product requirements into engineering designs
(specs, sequence diagrams, API contracts), drive design and architecture board reviews.
Integrate agents with existing services and new microservices
(front‑end + back‑end), delivering highly
scalable and resilient
solutions
Support in release and incident management and monitoring.
Champion engineering excellence : code reviews, testing, accessibility considerations, performance optimization, and secure coding practices.
What You’ll Bring (Required Qualifications)
Full‑stack development:
Expertise in building
scalable back‑end services
using TypeScript/JavaScript/Python with strong API design and data modeling and developing
modern front‑end applications
using React (hooks, context, state management), including UI performance optimizations and accessibility best practices.
Eval / Domain / Behavior Driven Development
(EDD/DDD/BDD) with focus on end user experience across all channels: UI, Chat, Messaging, Voice, Email, Mobile, etc.
Hands‑on experience in building agents using
Agentic AI frameworks and Agents SDKs
including tool integration and persistence.
Web technologies:
Experience with real-time communication using
WebRTC
and
WebSockets , including managing streaming connections and ensuring reliable data flow.
Expertise in
cloud platforms
(AWS/GCP/Azure) and experience with
containerization
(Docker), orchestration (Kubernetes), CI/CD practices and infrastructure‑as‑code (e.g., Pulumi/CDK/Terraform).
Strong
analytical and debugging skills
(logs, traces, performance tuning across front-end and back-end) paired with great attention to detail.
Highly
skilled at designing structured prompts and prompt engineering techniques, tool‑augmented flows, and safety guardrails for coding assistants and agents.
Exceptional ability to communicate complex technical concepts, drive consensus among both technical and non-technical stakeholders.
Expert use of coding assistants
to build
enterprise‑grade, scalable
software—balancing speed with quality and standards.
Agentic products shipped to production:
prior
end‑to‑end ownership
from prototype to production (observability, SLOs, incident handling). xsgimln
Experience building online and offline evals for Agentic systems.