Job Description
Description
Join our innovative team as a Senior AI Engineer, where you will be instrumental in the end-to-end design, development, and deployment of cutting-edge AI solutions. We are seeking a highly skilled and motivated individual to expertly leverage advanced AI models and platforms, tackling complex business challenges, and driving digital transformation. You will lead projects ranging from intelligent automation to advanced conversational AI, utilizing a modern technology stack to create impactful and scalable applications. This role offers a significant opportunity to be at the forefront of AI innovation, contributing directly to solutions that redefine user experiences and operational efficiencies, and to guide and mentor a team of talented engineers. What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy:
Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities
AI Solution Architecture & Development: Lead the end-to-end design, development, and implementation of robust AI-powered applications and services utilizing Python, FastAPI/Flask, and Google VertexAI. Advanced AI Model Management: Expertly integrate and fine-tune large language models, with a specific focus on the Gemini Model, for a diverse range of NLP tasks and generative AI applications. Conversational & Agentic AI Systems: Architect and enhance sophisticated conversational AI agents, and implement cutting-edge Agentic AI patterns and orchestrate complex AI workflows using frameworks like ADK and LangGraph. System Integration & Infrastructure: Design and implement seamless API integrations with various internal and external systems. Lead the deployment and management of AI solutions on cloud platforms like GCP (CloudRun/GKE, BigQuery, CloudSQL) and Openshift. Code Quality & Best Practices: Champion the adherence to and implementation of clean, maintainable, and well-documented code. Develop and execute comprehensive test strategies for AI solutions, and oversee the deployment and monitoring of models in production environments using CI/CD and AgentOps best practices. Strategic Growth & Collaboration: Proactively stay current with the latest advancements in AI/ML and propose innovative solutions. Work closely with product managers, data scientists, and other engineering teams to ensure the successful delivery of high-quality AI products. Team Leadership & Mentorship: Guide and mentor junior team members, fostering a culture of learning and continuous improvement. Drive the vision for the team and help in scaling up team capabilities. Your Skills and Experience
Educational Foundation: Bachelor’s, Master’s, or PhD in Computer Science, AI/ML, Engineering, Statistics, Mathematics, or a related field. Professional Expertise: 8-10+ years of technology experience with a proven track record in an AI/ML development role, demonstrating the successful application of skills to solve complex, real-world problems. Technical Proficiency: Programming: Strong proficiency in Python (including scikit-learn, pandas, NumPy), Java, and Shell Scripting.Web Frameworks: Extensive experience with FastAPI or Flask for building scalable APIs.AI/ML Platforms: Hands-on expertise with Google VertexAI, and demonstrated experience with LLMs, particularly the Gemini Model.Conversational AI: Proficiency in developing and optimizing conversational AI solutions.Agentic AI & Orchestration: Solid understanding of Agentic AI principles and frameworks like ADK and LangGraph.Database: Strong experience in writing medium to complex SQL queries. Cloud & DevOps: Cloud Platforms: Strong experience with GCP services (CloudRun/GKE, BigQuery, CloudSQL) and exposure to Openshift.DevOps & CI/CD: Experience with CI/CD tools (Jenkins, Github Actions, Teamcity), Sonar, JIRA, and a strong understanding of DevOps and AgentOps practices. Leadership & Soft Skills: Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts clearly to diverse stakeholders.Collaboration: A strong team player with the ability to work in virtual teams and matrixed organizations.Problem-Solving: Excellent analytical and problem-solving abilities with a strong attention to detail.Mentorship: Ability to share information, transfer knowledge, and mentor team members. Advantage:
Experience in / exposure to Investment Bank / Financial Markets / Compliance domain(s). Working experience in Safe Agile methodology. How we’ll support you
Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs
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