Senior AI Engineer

We’re building AI products that are transforming the Talent Management industry. Our mission is to revolutionize how organizations discover, develop, and engage talent through intelligent, human-centered AI solutions. We combine cutting-edge Generative AI with our workforce expertise to create tools that empower people, enhance decision-making, and redefine how talent is managed. Join us and be part of a team that’s reshaping the future of work through innovation, collaboration, and AI excellence. Job Summary We are seeking a highly experienced AI Engineer with 7+ years of overall professional experience, including 3+ years of hands-on experience in Artificial Intelligence, specifically building and deploying Generative AI systems. This role involves both strong technical contributions and the ability to lead and mentor a team of interns. You will collaborate closely with cross-functional teams to design and implement scalable AI solutions using large language models (LLMs), advanced AI workflows, and automation tools that drive real-world impact. Key Responsibilities Technical Responsibilities - Design & Development: Build, deploy, and optimize Generative AI solutions using LLMs, Retrieval-Augmented Generation (RAG), and AI workflow automation tools. - Architecture: Collaborate on designing scalable, reliable AI architectures using platforms such as Dify.ai, Windsurf, or Cursor. - Research & Innovation: Stay up to date with the latest advancements in Generative AI, including LLMs, agent frameworks, and automation tools, and integrate them into our solutions. - Testing & Validation: Develop robust testing and validation processes to ensure AI workflows, agents, and APIs are reliable, accurate, and scalable. Leadership & Mentorship - Team Leadership: Lead a team of interns focused on AI workflow creation, LLM integrations, and prompt engineering. - Mentorship: Train interns in Generative AI concepts, best practices, and tools — including LLM-based agents and vector databases. - Project Management: Manage project allocations, ensure deliverables align with business goals, and support debugging and deployment of AI solutions. - Performance Monitoring: Track progress, provide feedback, and guide interns in developing their AI engineering careers. Requirements: Education - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. - Experience - 7+ years of overall professional experience in software engineering, data engineering, or related technical fields. - Minimum 3 years of hands-on experience developing Generative AI systems using LLMs, AI-driven automation, and agent-based architectures. Technical Skills - Proficient in Python and JavaScript (experience with FastAPI is a plus). - Experience with AI tools such as Dify.ai, Windsurf, Cursor, and various LLMs (e.g., OpenAI, Mistral, Claude). - Familiarity with containerization tools like Docker and Kubernetes. - Understanding of CI/CD pipelines (e.g., GitHub Actions, Jenkins). - Strong command of version control using Git. - Solid foundation in computer science fundamentals, including data structures and algorithms. Soft Skills - Excellent problem-solving and analytical abilities. - Strong communication and interpersonal skills. - Proven experience in leading and mentoring teams. Preferred / Bonus Skills - Familiarity with advanced Generative AI tools and frameworks such as ElevenLabs, Mistral, Claude, OpenAI, LangChain, LlamaIndex, Groq. - Understanding of RAG architectures, vector databases, and AI agent frameworks such as AutoGen, CrewAI, or Superagent. - Exposure to platforms including MCP, Hugging Face, OpenRouter, Flowise, or ChromaDB.