Agentic AI Engineer

Rimini Street Inc, HQ : Las Vegas, NV, USA a disruptor in third party ERP support services, established undisputed leadership and as a natural progression, entered India with Rimini Street, India GCC India kick starting operations in Hyderabad , in 2013 with Global Client Onboarding Services, IT shared services and Global Service Development. In no time, Rimini Street, India GCC started Bengaluru operations going up the value chain with more complex product development (Oracle, SAP, Peoplesoft, JDE etc.) & advanced services (Managed services, Professional services, Security Managed Services etc).

Rimini Street, India GCC gained valuable share in bringing the reputation to Rimini Street Inc of being a global provider of unified support and managed service solutions for enterprise software. Today, Rimini Street, India GCC is a family of about 800+ full time talented individuals, thanks to the remarkable talent that has supported the expansion.

Rimini Street, India has nicely emerged as Global Capability Centre (GCC), and proudly says, “if you are best of the best, you belong to Rimini”. We are on a mission to contribute significantly to our “Rimini ONE” program, a turnkey Rimini Street service program that offers a comprehensive set of unified, integrated services that can run, manage, support, customize, configure, connect, protect, monitor, and optimize your Oracle and SAP ERP, database, and technology software.

The Agentic AI Engineer is responsible for designing and building the cognitive architecture of AI agents that interact with enterprise ERP systems. This is not prompt engineering — it is the design of agent behavior systems: how agents reason through ambiguous multi-step problems, when and how they use tools, how they coordinate with other agents, how they govern themselves within risk-tiered autonomy frameworks, and how they escalate to humans at the right moments.

This role sits at the intersection of AI engineering and enterprise systems architecture. Where the GenAI Engineer (junior/mid-level) focuses on individual prompt design, context window management, and LLM API integration, the Agentic AI Engineer designs the higher-order systems: multi-agent coordination patterns, cognitive reasoning chains for complex ERP workflows, dynamic tool selection strategies, autonomous vs. supervised decision boundaries, and the feedback loops that make agents learn from their operational experience.

This is an emerging discipline. The industry is evolving from simple prompt engineering toward what might be called agent behavior engineering, agentic systems design, or cognitive architecture. We are looking for someone who can help define what this role becomes.

Design the reasoning framework for how agents decompose complex ERP tasks into structured decision trees with governance checkpoints at each stage.

Build agent personas and behavioral profiles for each Rimini Solution domain (Finance, Procurement, Supplier Management, Expense, Support) defining domain-specific reasoning patterns, risk tolerances, and escalation triggers.

Architect dynamic tool selection strategies where agents choose which MCP tools to invoke based on context, confidence, and task requirements rather than hardcoded sequences.

Design conversation state management for long-running agent sessions that span multiple interactions, tool calls, and human-in-the-loop approvals.

Build confidence scoring frameworks that translate LLM output uncertainty into actionable governance decisions (proceed, verify, escalate, halt).

Design A2A (Agent-to-Agent) communication patterns for collaborative workflows where multiple specialized agents contribute to a single business outcome.

Architect supervisor/worker agent hierarchies with clear delegation, progress monitoring, and result aggregation patterns.

Build conflict resolution strategies for when agents produce contradictory assessments (e.g., risk agent says halt, efficiency agent says proceed).

Design shared context and memory patterns that allow agent teams to build collective understanding of a business situation without redundant processing.

Translate OPA policy definitions into agent-actionable decision boundaries — bridging the gap between policy-as-code and agent reasoning.

Design the autonomy progression model: how agents earn increased autonomy through demonstrated accuracy, how trust degrades after errors, and how the system self-corrects.

Build the “explainability layer” that enables agents to articulate their reasoning chain to human reviewers in business-meaningful terms.

Design circuit breaker patterns at the cognitive level agents that recognize when they are outside their competence boundary and proactively escalate rather than guessing.

Design retrieval-augmented reasoning patterns where agents dynamically pull relevant knowledge from vector stores, historical and knowledge data and approval pattern databases during their reasoning process.

Build the feedback mechanisms that capture how experienced users correct or override agent recommendations, turning those corrections into improved future reasoning.

Design evaluation frameworks for agent behavior — not just output accuracy but reasoning quality, appropriate escalation, governance compliance, and user trust metrics.

Build scenario-based testing methodologies: synthetic ERP scenarios that test agent behavior across edge cases, ambiguous situations, and adversarial inputs.

Define agent performance metrics: task completion rate, escalation accuracy, false positive/negative rates for autonomous decisions, time-to-resolution, and user override frequency.

Own the continuous improvement loop: analyze production agent behavior, identify reasoning failures, and refine cognitive architecture to prevent recurrence.

4-6 years of software engineering experience with strong Python and/or Java proficiency.

3+ years working with AI/ML systems in production, including LLM-based applications.

1+ years designing or building agentic AI systems — autonomous agents that reason, plan, use tools, and take actions (not just chatbots or simple RAG).

Demonstrated experience with agent frameworks: LangChain/LangGraph, Pydantic AI, CrewAI, AutoGen, Semantic Kernel, or equivalent.

Experience with tool-calling / function-calling patterns in LLMs (MCP, OpenAI function calling, Anthropic tool use).

Understanding of evaluation methodologies for non-deterministic systems — testing outputs that aren't binary right/wrong.

Experience building systems that handle human-in-the-loop workflows — knowing when to pause for human judgment.

We are looking for talented, passionate people to help us build our future at Rimini Street . We hire only the best, the most extraordinary professionals and provide compensation, bonuses, and benefits to match the skills of our top-performing team members. Do you thrive in a fast-paced environment, enjoy growing together, and get excited about learning new skills? Are you looking for an opportunity to make a true impact as part of a team of extraordinary professionals? This is the place for you.

Our work is challenging and meaningful. We start and end each day with a sense of achievement and purpose guided by our core values, the Four Cs:

Company We dream big and innovate boldly.

We dream big and innovate boldly.

Colleagues We work with extraordinary people who create a culture of mutual respect and collaboration.

We work with extraordinary people who create a culture of mutual respect and collaboration.

Clients We relentlessly pursue solutions that help clients achieve their goals. Our unmatched client care is rooted in our passion for exceptional service.

We relentlessly pursue solutions that help clients achieve their goals. Our unmatched client care is rooted in our passion for exceptional service.

Community We believe in leaving the world a better place than we found it. With the Rimini Street Foundation, we’ve made positive impacts in six continents for over 425 charities.

We believe in leaving the world a better place than we found it. With the Rimini Street Foundation, we’ve made positive impacts in six continents for over 425 charities.

Nasdaq-listed under ticker symbol RMNI since October 2017

Over 6,300+ signed contracts to date, including Fortune 500 and Global 100 companies

Over 2,000 team members in 23 countries

US and international recognition for industry leadership and philanthropic efforts. See all of our awards and recognitions here: https://www.riministreet.com/company/awards/

Rimini Street is committed to creating a diverse and inclusive environment and is proud to be an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, national origin, sexual orientation, gender or gender identity, disability, protected veteran status, or any other characteristic protected by law.

To learn more about how Rimini Street is redefining the enterprise software support industry, visit http://www.riministreet.com

Please Note: Rimini Street does not accept resumes submitted by recruiting/staffing firms unless specifically requested by Human Resources. Unsolicited resumes will be ineligible for referral fees.