Job Title : AI Engineer – Product Integration
Company : Momentum91
Location : Ahmedabad, Gujarat
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 collaborationwith engineering teams.
Identify opportunities for automation, prediction, recommendation, andpersonalization 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 initiativeswith overall product vision.
Stay up to date with the latest trends in AI / ML, LLMs, and generative AI tools to assesspotential adoption.
Evaluate and integrate third-party AI tools or APIs (e.g., OpenAI, Hugging Face, GoogleVertex AI, AWS Bedrock).
Define metrics for evaluating model performance, user impact, and ROI of AIfeatures.
Document AI system design, implementation approach, and model lifecyclemanagement.
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 systemtechniques.
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, GoogleVertex 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 modeldeployment pipelines.
Experience with prompt engineering and fine-tuning large language models is a plus.Understanding of MLOps concepts and version control for model lifecyclemanagement.
Required Qualifications
Bachelor's degree in Computer Science, Artificial Intelligence, or related technicalfield.
3 to 5 years of hands-on experience in building or integrating AI-based solutions intoproducts.
Proven ability to translate product requirements into actionable AI implementationplans.
Experience in PropTech, CRM, or enterprise SaaS domains will be a plus.Excellent communication and collaboration skills to work with multidisciplinaryteams.
A Master's degree or certifications in AI / ML (AWS, Azure, or Google Cloud AI Engineer)would be an added advantage.
Benefits
Competitive SalaryFun, inclusive, and vibrant company cultureFive-day workweekProfessional development opportunitiesOpportunity to be part of a rapidly growing companySkills Required
Tensorflow, Nlp, MLops, Computer Vision, Pytorch, Rest Apis, Python