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About Us

At Momentum91, we specialize in providing scalable, high-performance IT and softwaredevelopment teams through our Offshore Development Centre (ODC) model. As a part of the DevX Group, we enable global companies to establish dedicated, culturallyaligned engineering teams in India combining world-class talent, infrastructure, and operational excellence. Our expertise spans AI led product engineering, data platforms,cloud solutions, and digital transformation initiatives for mid-market and enterpriseclients worldwide.

Position Overview

We are seekinga highly driven AI Engineerwith 3 to 5 years of experience in researching, designing, and integrating AI-based solutions within digital products. The ideal candidatewill be responsible for identifying relevant AI use cases, developingproof-of-concepts, and implementing scalable AI models that enhance functionalityacross multiple productlines — including CRM, marketplace, contracts, and data systems.You will collaborate closely with product, backend, and system architectureteams to define and operationalize the AI roadmap for a connected proptechecosystem.

Key Responsibilities

• Research and evaluate AI/ML technologies, frameworks, and APIs for various business use cases
• Design and develop prototypes or POCs to validate AI-driven features and workflows
• Implement and integrate AI models into production environments with engineering teams
• Identify opportunities for automation, prediction, recommendation, and personalization within existing modules
• Work with structured and unstructured data to train, fine-tune, and optimize models
• Collaborate with product managers, designers, and engineers to align AI initiatives with the product vision
• Stay up to date with the latest trends in AI/ML, LLMs, and generative AI tools for potential adoption
• Evaluate and integrate third-party AI tools or APIs (OpenAI, Hugging Face, Google Vertex AI, AWS Bedrock)
• Define metrics to evaluate model performance, user impact, and ROI of AI features
• Document AI system design, implementation approach, and model lifecycle management

Technical Requirements

• Strong programming skills in Python with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of modern NLP, computer vision, and recommendation system techniques
• Experience integrating AI services into full-stack applications using APIs or SDKs
• Knowledge of cloud-based AI tools and services (AWS SageMaker, Azure AI, Google Vertex AI)
• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) methods
• Proficiency in working with REST APIs and microservice architectures
• Strong understanding of data preprocessing, feature engineering, and model deployment pipelines
• Experience with prompt engineering and fine-tuning large language models is a plus
• Understanding of MLOps concepts and version control for model lifecycle management

Required Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, or a related technical field
• 3–5 years of hands-on experience building or integrating AI-based solutions into products
• Proven ability to translate product requirements into actionable AI implementation plans
• Experience in PropTech, CRM, or enterprise SaaS domains is a plus
• Excellent communication and collaboration skills for working with multidisciplinary teams
• A Master’s degree or AI/ML certifications (AWS, Azure, or Google Cloud AI Engineer) are an added advantage

Benefits

• Competitive salary
• Fun, inclusive, and vibrant company culture
• Five-day workweek
• Professional development opportunities
• Opportunity to be part of a rapidly growing company

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