AI Agent Developer

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.We are on the lookout for a highly talented and self-motivated AI Agent Developer to join us on our journey in advancing the technological world through innovation and creativity.KEY RESPONSIBILITIES: -We are looking for an AI Agent Developer who can independently translate business requirements into working AI agent solutions from prompt design to tool/skill creation, API integrations, and workflow automation. The ideal candidate is hands-on, self-driven, and comfortable owning a problem from requirement gathering through deployment. Key Responsibilities: - Work directly with business stakeholders to understand requirements and convert them into functional agent solutions on Oracle Fusion HCM Cloud using Oracle AI Agent Studio. Design, write, and refine prompts (system prompts, few-shot examples, chain-of thought structuring) for reliable, consistent agent behavior. Build and maintain custom tools/skills/functions that agents can call (e.g., data lookups, calculations, document generation, third-party actions). Integrate agents with external and internal APIs (REST/SOAP) - authentication, request/response handling, error handling, retries. Design and implement multi-step workflows/orchestration (sequential, conditional, parallel agent/tool calls). Set up and manage workflow triggers — event-based, schedule-based, webhook based, or user-initiated. Test agent behavior thoroughly: edge cases, failure handling, hallucination checks, guardrails. Optimize for cost, latency, and accuracy (model selection, context management, caching). Document agent architecture, prompts, tools, and workflows for maintainability. Debug and troubleshoot agent/tool/workflow failures in production. Stay current with LLM/agent framework updates and recommend improvements. REQUIRED SKILLS & QUALIFICATIONS Required Skills & Experience: -  3–5 years’ experience building LLM-based applications or AI agents (production experience preferred). Strong prompt engineering skills — system prompts, role-based prompting, few shot/zero-shot design, output formatting (JSON/XML), guardrails against prompt injection. Hands-on experience creating custom tools/functions/skills for agent frameworks (function calling / tool use)  Practical API experience — calling REST/SOAP APIs, handling auth (OAuth, API keys), parsing responses, error handling. Experience setting up triggers — webhooks, cron/schedule-based, event-driven triggers - Understanding of vector databases/RAG (retrieval-augmented generation) is a plus - Ability to independently scope a requirement, propose a solution approach, and execute without heavy supervision.Preferred Qualifications: - Experience building multi-agent systems (agent-to-agent handoA, supervisor/worker patterns). Exposure to MCP (Model Context Protocol) or similar agent-tool standards. Experience with monitoring/observability for AI agents (logging, tracing, evaluation frameworks). Familiarity with version control (Git) and CI/CD for deploying agent updates. Node.js & TypeScript. Understanding of Microservice architecture. Practical experience in developing microservices and maintaining on production.  Clear understanding of secure identity protocols like SSO and OAuth.  Solid understanding of Relational and Non-relational database operations.  Understanding of core LLM Fundamentals concepts like tokens, top_p, temperature, and streaming data.  Hands-on experience implementing structured outputs, tool callings, and function callings.  Ability to articulate solutions with multiturn tool calls aka agentic solution.  Production experience building workflows using LangChain and/or LangGraph.  Explain the architectural pattern Retrieval-Augmented Generation (RAG) and advanced prompting techniques.  Experience on Oracle AI Agent Studio will be an added advantage.Soft Skills; - Strong ownership mindset — can take a vague business ask and turn it into a working solution. Good written communication for documenting logic and prompts clearly. Analytical thinking to debug non-deterministic (LLM) behavior systematically. Comfortable iterating quickly based on testing/feedback.Why Us: -We are one of the fastest-growing large tech companies in the world, with offices in 50+ countries across the globe and 219,000 employees,Our company is extremely diverse with 165 nationalities represented.We offer the opportunity to work with colleagues across the globe.We offer a virtual-first work environment, promoting a good work-life integration and real flexibility.We offer comprehensive benefits for all employees.We are a certified great place to work and a top employer in 17 countries, offering a positive work environment that values employee recognition and respect.Equality & Opportunity for All: -Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.