AI Engineer - Associate

Join our innovative team as an AI Engineer, where you will be instrumental in designing, developing, and deploying cutting-edge AI solutions. We are seeking a highly skilled and motivated individual to leverage advanced AI models and platforms to solve complex business challenges and drive digital transformation. You will work on projects ranging from intelligent automation to advanced conversational AI, utilizing a modern technology stack to create impactful and scalable applications. This role offers the opportunity to be at the forefront of AI innovation, contributing to solutions that redefine user experiences and operational efficiencies.

• 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

• AI Solution Development: Design, develop, and implement AI-powe'red applications and services using Python, FastAPI/Flask, and Google VertexAI.
• Model Integration & Fine-tuning: Integrate and fine-tune large language models, specifically the Gemini Model, for various NLP tasks and generative AI applications.
• Conversational AI: Develop and enhance conversational AI agents, focusing on natural language understanding and response generation.
• Agentic AI & Orchestration: Implement Agentic AI patterns and orchestrate complex AI workflows using ADK and LangGraph to create robust and intelligent systems.
• API Integration: Design and implement seamless API integrations with various internal and external systems, following REST principles.
• Cloud Infrastructure & Data Processing: Deploy and manage AI solutions on Google Cloud Platform (GCP), leveraging services like CloudRun/GKE, BigQuery, CloudSQL, Cloud Composer, and GCS.
• Code Quality & Best Practices: Write clean, maintainable, and well-documented code. Use Test-Driven Development (TDD), refactor constantly, and follow best practices for software development and AgentOps.
• Testing & Deployment: Develop and execute comprehensive tests for AI solutions and assist in the deployment and monitoring of models in production environments.
• Research & Innovation: Stay current with the latest advancements in AI, machine learning, and natural language processing to propose and implement innovative solutions.
• Collaboration: Work closely with cross-functional agile teams including product managers, data scientists, and other engineers to deliver high-quality AI products.

• Professional Experience: 4+ years of proven experience in an AI Engineer role, demonstrating successful application of AI techniques to solve real-world problems.
• Programming Proficiency: Strong proficiency in Python (with libraries like scikit-learn, pandas, NumPy) and experience with web frameworks like FastAPI or Flask for building APIs.
• AI/ML Platforms: Hands-on experience with the Google VertexAI platform.
• Large Language Models (LLMs): Demonstrated experience working with and fine-tuning LLMs, particularly the Gemini Model.
• Conversational AI: Proficiency in developing conversational AI solutions.
• Agentic AI: Solid understanding of Agentic AI principles, design patterns, and familiarity with frameworks like LangGraph for orchestration.
• Cloud & Data Technologies: Strong experience with GCP services including CloudRun/GKE, BigQuery, and CloudSQL.
• Agile & DevOps: Experience working in an agile team (Scrum, Kanban) with a practical understanding of CI/CD tools (Jenkins, Github Actions, Teamcity) and AgentOps practices.
• Problem-Solving: Excellent analytical and problem-solving abilities with the ability to translate complex business requirements into technical solutions.

• Education: bachelors, masters, or PhD in a relevant field such as Computer Science, AI/ML, Statistics, or Engineering.
• Infrastructure as Code: Familiarity with tools like Terraform.
• UI Frameworks: Experience with Flask or Streamlit for building user interfaces.
• Domain Knowledge: Experience in the financial services industry, particularly Investment Banking, is highly desirable.

• 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