Gen AI Engineer

Job description: We are seeking an AI Engineer specializing in Generative AI and Agentic AI systems. This role focuses on designing, developing, and operationalizing intelligent AI agents, Large Language Model (LLM)-based applications, Retrieval-Augmented Generation (RAG) systems, and autonomous multi-agent workflows. Key Responsibilities 1. GenAI Development & LLM Engineering • Build and deploy LLM-based applications leveraging frameworks like LangChain. • Develop RAG pipelines using vector databases for enterprise knowledge retrieval. • Develop data pipelines to create structured and unstructured datasets for LLM and agent workflows. • Optimize prompts, system instructions, and memory architectures for robust, domain-specific reasoning. • Evaluate model performanceaccuracy, hallucination mitigation, latency, and safety compliance. 2. Agentic AI Design & Autonomous Workflow Engineering • Implement agentic systems capable of planning, reasoning, tool usage, and multi-step decision-making. • Build multi-agent ecosystems (task agents, planning agents, critic agents, evaluation agents) to automate complex workflows. • Integrate agents with APIs, enterprise systems, and external tools to create end-to-end autonomous solutions. • Ensure agent alignment with Responsible AI principlestraceability, guardrails, human oversight. 3. AI Systems Integration & Deployment • Build scalable microservices and APIs for GenAI and agentic components. • Deploy models and agents using Azure ML or Kubernetes-based stacks. 4. Collaboration & Influence • Engage with business and product stakeholders to convert ambiguous use cases into technical solutions. • Support internal capability buildingAI best practices, prompt engineering, GenAI safety, and evaluation frameworks. Required Skills & Qualifications • Strong hands-on expertise in Python, LLM frameworks, and ML/DL libraries (Transformers, PyTorch, TensorFlow, scikit-learn). • Experience with API development, microservices, Docker, and Kubernetes. • Experience building RAG systems with vector databases and embeddings. • Experience with agentic frameworks or building custom autonomous agents. • Strong understanding of LLM safety, hallucination mitigation, and evaluation techniques. • Cloud proficiency in Azure (or any other hyperscalers - AWS, GCP etc) Soft Skills • Strong analytical reasoning, problem-solving, and design thinking skills. • Comfortable working in fast-paced, agile, innovation-driven environments. • Curiosity and a passion for emerging AI research, prototyping, and experimentation. Salary Range: $100,000 to $115,000 per year

Created: 2026-03-10