
AI Lead – Agent Development Platform (ADP)
Experience: 15+ Years
Location: Remote (India)
Employment Type: Payroll of Haparz (Direct Contract)
About the Role
We are seeking an experienced AI Lead to drive the AI engineering track for an enterprise-grade Agent Development Platform (ADP). This is a hands-on leadership role responsible for defining the architecture, evaluation frameworks, AI security posture, and engineering standards for production-scale Agentic AI systems.
The ideal candidate should have strong experience in building LLM-powered applications, multi-agent systems, RAG architectures, AI evaluation frameworks, and leading engineering teams delivering complex AI solutions.
Roles & Responsibilities
- Lead the architecture and technical direction for Agentic AI and multi-agent platforms.
- Define agent frameworks, orchestration strategies, memory management, and model routing policies.
- Design and establish standard agent architectures, including planner-executor patterns, tool usage protocols, and Human-in-the-Loop (HITL) workflows.
- Build and own AI evaluation frameworks, including golden datasets, field-level accuracy metrics, regression testing, and release quality gates.
- Drive AI security initiatives, including prompt injection prevention, tool authorization controls, and adversarial testing.
- Architect and develop high-impact components such as agent SDKs, evaluation harnesses, and production-grade AI agents.
- Define RAG strategies, knowledge graphs, embedding pipelines, and secure multi-tenant data architectures.
- Establish LLMOps practices, including observability, tracing, quality monitoring, and cost optimization.
- Lead and mentor AI engineering teams, establish reusable frameworks, and drive engineering excellence.
- Collaborate with client stakeholders, CTOs, and architecture boards to define and defend technical decisions.
Required Experience
- 15+ years of software engineering experience with 3+ years building production-grade LLM applications.
- Proven experience building Agentic AI platforms or multi-agent systems supporting real business use cases.
- Strong expertise in Python and modern AI engineering practices.
- Hands-on experience with LangGraph, Claude Agent SDK, LangChain, LangSmith, AWS Bedrock, and Anthropic models.
- Experience with RAG, Knowledge Graphs, Neo4j, PGVector, Temporal, LiteLLM, and Langfuse.
- Strong understanding of AI evaluation frameworks, hallucination measurement, prompt engineering, and AI security practices.
- Experience implementing observability, evaluation-gated CI/CD, and cost monitoring for AI systems.
- Proven experience leading engineering teams and delivering large-scale, milestone-driven programs.
Preferred Experience
- Exposure to Commercial Real Estate, Legal, Insurance, Financial Services, or other document-intensive domains.
- Experience working with SOC2, GDPR, FedRAMP, or similar compliance frameworks.
- Contributions to AI communities, open-source projects, publications, or conference presentations are an added advantage.

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Reo.Dev is at a breakout moment. We launched in Oct 2023, and within just two years we’ve become one of the most talked-about platforms in the DevTool world. The best DevTool companies globally use Reo, and we’ve reached strong PMF. Now we’re entering our next chapter - moving from being known to owning the DevGTM narrative.
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Our client is a renowned luxury interiors brand recognized for crafting bespoke, high-end designs and delivering timeless, elegant living spaces. With a reputation for precision and excellence, they continue to set benchmarks in the premium interiors industry.
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Job Description:
We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.
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- Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
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- Exposure to AWS, google cloud and Azure Cloud
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Vulnerability management Penetration tests
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Project SME and Lead for security related projects
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Bachelor's degree in Information Security, Computer Science or Engineering
Minimum of 3 years in security engineering
Knowledge in cloud ecosystems security - Amazon AWS, Microsoft O365
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English spoken and written on at least B2 level
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