AI Engineer - Product Integration || Immediate Joiner Preferred

About Us: At Momentum91,

Website:

Position Overview:

Location: Ahmedabad, Gujarat (Onsite)

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 (e.g., 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

• Bachelors degree in Computer Science, Artificial Intelligence, or a related technical field.

• 2 to 4

  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 Masters degree or certifications in AI/ML (AWS, Azure, or Google Cloud AI Engineer) would be an added advantage.