AI Engineer - Product Integration

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About Us

At Momentum91, we specialize in providing scalable, high-performance IT and software

development teams through our Offshore Development Centre (ODC) model. As a part

of the DevX Group, we enable global companies to establish dedicated, culturally

aligned 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 enterprise

clients worldwide.

Position Overview

We are seeking a highly driven AI Engineer with 3 to 5 years of experience in

researching, designing, and integrating AI-based solutions within digital products. The

ideal candidate will be responsible for identifying relevant AI use cases, developing

proof-of-concepts, and implementing scalable AI models that enhance functionality

across multiple product lines — including CRM, marketplace, contracts, and data

systems. You will collaborate closely with product, backend, and system architecture

teams to define and operationalize the AI roadmap for a connected proptech

ecosystem.

Key Responsibilities

• Research and evaluate AI/ML technologies, frameworks, and APIs suitable 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 in collaboration

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 overall product vision.

• Stay up to date with the latest trends in AI/ML, LLMs, and generative AI tools to assess

potential adoption.

• Evaluate and integrate third-party AI tools or APIs (e.g., OpenAI, Hugging Face, Google

Vertex AI, AWS Bedrock).

• Define metrics for evaluating 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 and experience with frameworks like TensorFlow,

PyTorch, or Scikit-learn.

• Understanding of modern NLP, computer vision, and recommendation system

techniques.

• Experience with integrating AI services via APIs or SDKs into full-stack applications.

• 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 related technical

field.

• 3 to 5 years of hands-on experience in 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 will be a plus.

• Excellent communication and collaboration skills to work with multidisciplinary

teams.

• A Master’s degree or certifications in AI/ML (AWS, Azure, or Google Cloud AI Engineer)

would be 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