Generative AI Engineer

HCLTech is looking for a highly talented and self- motivated Gen AI Engineer to join it in advancing the technological world through innovation and creativity.Job Role: Gen AI EngineerLocation: Cary, NC (Hybrid – minimum 3 days onsite, mandatory)Employment Type: Full-TimeExperience : 10 YearsJob description As a GenAI Engineer, you will develop next-generation AI applications that transform enterprise automation and intelligence. This role demands deep technical expertise and deliver scalable AI & GenAI solutions powered by state-of-the-art LLMs like Gemini, Vertex AI etcYou will:Design secure, high-performance APIs and orchestrate multi-agent systems for distributed workflows.Implement Retrieval-Augmented Generation (RAG) pipelines for intelligent, context-aware applications.Integrate LLMs into mission-critical banking workflows for email automation processing, semantic search across financial data, customer query automation, and advanced NLP capabilities etcCollaborate with Client side GenAI architects, product leaders, and security teams to deliver solutionsContinuously innovate and experiment with new LLM models, prompt engineering techniques, and orchestration patterns.Key ResponsibilitiesAPI Development: Build REST endpoints with FastAPI/Flask, auto-generate docs (Swagger), implement rate limiting, OAuth2, and observability.LLM Integration: Optimize prompts, implement RAG pipelines, integrate Gemini, Vertex AI, OpenAI, Claude, Llama; monitor performance and run A/B tests.Multi-Agent Systems: Design distributed workflows using Celery, Kubernetes, Kafka/RabbitMQ; ensure resilience and fault tolerance.Experience with GCP componentsData & Vector Search: Work with MySQL/PostgreSQL/MongoDB, Redis, and vector DBs (Pinecone, FAISS, Milvus).Experience with GenAI frameworks (LangChain, Hugging Face, EasyRAG).Experience building and deploying ML models for classification, regression, and clustering using frameworks like scikit-learn, XGBoost, TensorFlow/PyTorch.Hands-on experience with LangChain Agents, Google ADK, or similar frameworks for building agentic workflows.Cloud Expertise: Experience deploying and optimizing GenAI workloads on GCP (Vertex AI) and other cloud platforms.Strong understanding of feature engineering, model evaluation (ROC, AUC, precision/recall), and hyperparameter tuning for production-grade ML systems.Testing & Monitoring: Unit/integration tests (pytest), logging, tracing, metrics, and SLOs.Critical SkillsPython (FastAPI/Flask)LLM Integration & Prompt Engineering – Gemini, Vertex AI, LlamaLangChain, RAG PipelinesMulti-Agent Architecture – Celery, Kubernetes, KafkaVector Databases – PosgreSQL, , FAISS, Milvus ,Quadrant etcGCP QualificationsBachelor’s/Master’s/PhD in Computer Science, Statistics, Data Science, or related field.8+ years of experience in AI/ML and data science roles.Proven track record of delivering production-grade AI models ,apps and solutions.Pay Range Minimum: $108,000 per yearPay Range Maximum: $168,000 per yearHCLTech is 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. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.Compensation and BenefitsA candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. to drive the design, development, and modernization of enterprise-scale payment platforms. This role requires deep technical expertise, strong architectural skills, and hands-on leadership within complex payments ecosystems.