Overview

Our AI Engineers are responsible for designing, developing, and deploying advanced Generative AI solutions to support innovative product capabilities across MyAdvice.

Qualifications

• Strong proficiency in Python (must).
• Solid understanding of data structures, algorithms, and software design principles.
• Experience with transformer-based LLMs and modern AI frameworks.
• Hands-on with LangChain, LlamaIndex, HuggingFace Transformers, or equivalent.
• Experience building RAG pipelines, embedding models, and vector database integrations.
• Familiarity with AI agent frameworks and multi-step generative workflows.
• Hands-on experience creating AI skills, reusable system instructions, agent rules, guardrails, and workflow-specific prompts to control and improve LLM behavior.
• Experience deploying ML systems on AWS / GCP.
• Proficiency with containerization: Docker, Kubernetes.
• Understanding of distributed computing, model hosting, and serverless deployments.
• Experience with MLOps tooling: MLflow, Weights & Biases, Sagemaker, Vertex AI, etc.
• Familiarity with CI/CD pipelines, Git workflows, and testing automation for ML.
• Experience working with GPT, LLaMA, Claude, Gemini or similar LLMs.
• Knowledge of embeddings, tokenization, prompt engineering, and model optimization.
• Experience building or contributing to production-grade AI pipelines.
• Excellent written and verbal communication skills with high professionalism.
• Strong attention to detail, critical thinking, and problem-solving ability.
• Ability to manage multiple priorities and communicate progress effectively.
• Demonstrated curiosity, adaptability, and willingness to learn cutting-edge AI innovations.
• 1–3 years of experience in AI/ML engineering, software engineering, or a related field.
• Bachelor’s degree in Computer Science, Engineering, AI/ML, or related field preferred.
• Prior experience deploying AI solutions in a production or enterprise environment.
• Legally authorized to work in India.
• High-speed internet to support remote work.
• Base Salary: ₹12-15 LPA, based on experience and qualifications.
• Position Type: Full-time, Salaried
• Schedule: Monday-Friday, 11.00am to 8:00pm IST
• Work Locations: This position is fully remote to start, but there is the chance this position will be called back to the office in Bangalore. We will prioritize candidates that are located in Bangalore or willing to relocate there.
• Travel: May require occasional local or national travel (less than 5% of the time, if at all).
• Physical Requirements: Prolonged periods sitting at a desk and working on a computer (90% at desk, 10% of time walking); Ability to lift up to 30 lbs and use typical office equipment (computers, keyboards, printer, etc.).

Benefits

• Employer-contributed medical insurance (100% premium covered by the company)
• Provident Fund (PF) contributions as per policy
• Leave policy: 12 Sick/Casual Leaves + 18 Annual Leaves + 10 Company Holidays
• Remote-first Company, Flexible Schedules + Early Out Fridays!
• Employee Assistance Program (EAP): free mental health support, financial/legal consultations, and more
• Tuition Reimbursement Program (up to ₹1 lakh annually) + Executive Mentorship Program
• Leadership Training Program: learn the fundamentals of leading a team (available to all employees)
• Ongoing personalized coaching and career development support
• Casual / Business Casual dress code and a fun work environment (games, coffee, snacks, etc.)
• Core value initiatives: “Pay It Forward,” Project Fantastic (client collaboration), and more!