We are looking for a highly motivated Innovation Engineer to join our CTO Office and drive the exploration, prototyping, and adoption of next-generation technologies. This role offers a unique opportunity to work at the forefront of AI/ML, Generative AI (Gen AI), Large Language Models (LLMs), Vertex AI, MCP, Vector Databases, AI Search, Agentic AI, and Automation.

As an Innovation Engineer, you will be responsible for identifying emerging technologies, building proofs-of-concept (PoCs), and collaborating with cross-functional teams to define the future of AI-driven solutions. Your work will directly influence the company's technology strategy and help shape disruptive innovations.

Responsibilities :

- Research and Implementation : Stay ahead of industry trends, evaluate emerging AI/ML technologies, and prototype novel solutions in areas like Gen AI, Vector Search, AI Agents, VertexAI, MCP, and Automation.

- Proof-of-Concept Development : Rapidly build, test, and iterate PoCs to validate new technologies for potential business impact.

- AI/ML Engineering : Design and develop AI/ML models, AI Agents, LLMs, and intelligent search capabilities leveraging Vector embeddings.

- Vector and AI Search : Explore vector databases and optimize retrieval-augmented generation (RAG) workflows.

- Automation and AI Agents : Develop autonomous AI agents and automation frameworks to enhance business processes.

- Collaboration and Thought Leadership : Work closely with software developers and product teams to integrate innovations into production-ready solutions.

- Innovation Strategy : Contribute to the technology roadmap, patents, and research papers to establish leadership in emerging domains.

Requirements :

- 4-8 years of experience in AI/ML, software engineering, or a related field.

- Strong hands-on expertise in Python, TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, Claude, Gemini, VertexAI, and MCP.

- Experience with LLMs, embeddings, AI search, vector databases (e. g., Pinecone, FAISS, Weaviate, PGVector), MCP, and agentic AI (Vertex, Autogen, ADK).

- Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML infrastructure.

- Strong problem-solving skills and a passion for innovation.

- Ability to communicate complex ideas effectively and work in a fast-paced, experimental environment.

Preferred Qualifications :

- Experience with multi-modal AI (text, vision, audio), reinforcement learning, or AI security.

- Knowledge of data pipelines, MLOps, and AI governance.

- Contributions to open-source AI/ML projects or published research papers.