We are seeking a dynamic and forward-thinking AI/ML Engineer to contribute to cutting-edge innovation and drive the exploration, prototyping, and adoption of emerging technologies. This role offers an exciting opportunity to work at the forefront of AI/ML, Generative AI, Large Language Models (LLMs), Vertex AI, MCP, Vector Databases, AI Search, Agentic AI, and Automation.
In this role, you will identify advanced technologies, develop proof-of-concepts (PoCs), and collaborate with cross-functional teams to shape the future of AI-driven solutions. Your contributions will directly influence the technology strategy and support the development of impactful, next-generation systems.
Key Responsibilities
Research & Innovation
Explore cutting-edge technologies and evaluate advancements in AI/ML, GenAI, AI Search, Vector Search, Vertex AI, MCP, and autonomous agents.
Prototype novel ideas and investigate their potential for business transformation.
Proof-of-Concept Development
Rapidly design, implement, and refine PoCs to validate new technologies and assess feasibility.
AI/ML Engineering
Build and optimize AI/ML models, LLM-based systems, AI agents, and intelligent search capabilities using embeddings.
Vector Search & RAG
Work with vector databases and enhance retrieval-augmented generation (RAG) workflows.
AI Agents & Automation
Develop autonomous AI agents and automation frameworks to improve operational efficiency.
Cross-Functional Collaboration
Partner with engineering, product, and research teams to integrate innovative solutions into scalable, production-ready environments.
Innovation Strategy
Contribute to technology roadmaps, innovation initiatives, patents, and research publications.
Required Qualifications
4–8 years of experience in AI/ML, software engineering, or related fields.
Strong hands-on experience with Python, TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, Claude, Gemini, Vertex AI, and MCP.
Experience working with LLMs, embeddings, vector databases (e.g., Pinecone, FAISS, Weaviate, PGVector) and agentic AI frameworks (Vertex, Autogen, ADK).
Knowledge of cloud platforms such as AWS, Azure, or GCP.
Strong analytical and problem-solving abilities with a passion for experimentation and innovation.
Excellent communication skills and the ability to work in fast-paced, research-driven environments.
Preferred Qualifications
Experience with multimodal AI (text, image, video, audio), reinforcement learning, or AI security.
Knowledge of data pipelines, MLOps, or AI governance.
Contributions to open-source AI/ML projects or published research work.
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