About Us
OptimumBrew is a global software product company based in Surat, India, building AI-powered graphic
design and marketing products for small businesses worldwide. Our products help entrepreneurs create
professional marketing content quickly across mobile and web platforms.
Every day, users across 150+ countries use our applications to grow their businesses. We combine
product innovation, AI, data analytics, and growth experimentation to build category-leading products
with global impact.
At OptimumBrew, you’ll work on real business challenges—not simulations. From analyzing millions of
user interactions and optimizing growth funnels to experimenting with AI-driven features and scaling
global products, your work directly influences product decisions and business growth.
We believe in ownership, continuous learning, and solving meaningful problems with data. If you’re
excited about building products for a global audience and making measurable impact from day one,
you’ll feel at home here.
Requirements
Role Overview
As an AI/ML Engineer, you’ll work with our engineering and product teams to build AI-powered features
and products using modern Large Language Models (LLMs), APIs, and intelligent workflows.
Instead of training AI models, you’ll focus on integrating, orchestrating, and optimizing AI technologies to
solve real customer problems. You’ll build AI features that improve productivity, automate workflows,
generate content, and create intelligent user experiences across our products.
This role is ideal for candidates who enjoy software development, problem-solving, and exploring how AI
can transform modern applications.
Key Responsibilities
1. AI Agent Development
● Build autonomous AI agents for real-world business workflows.
● Design multi-agent systems.
● Integrate tools using MCP and function calling.
● Optimize agent reasoning and execution.
2. AI Feature Development
● Build AI-powered features for web and mobile products.
● Integrate LLM APIs such as OpenAI and Gemini.
● Develop intelligent user workflows.
● Improve AI response quality and user experience.
3. Prompt Engineering
● Design and optimize prompts for different use cases.
● Experiment with prompting techniques.
● Evaluate AI output quality.
● Improve reliability and consistency.
4. AI Workflow Automation
● Build AI-driven workflows.
● Automate repetitive business processes.
● Develop multi-step AI pipelines.
● Integrate AI into existing product workflows.
5. AI Product Engineering
● Convert product ideas into AI-powered features.
● Collaborate with Product, Design, and Engineering teams.
● Prototype new AI experiences rapidly.
● Optimize performance and usability.
6. API Integration
● Integrate AI APIs and third-party services.
● Build backend services around AI capabilities.
● Handle streaming responses.
● Manage structured outputs and function calling.
7. AI Quality & Evaluation
● Test AI-generated responses.
● Improve accuracy and consistency.
● Analyze edge cases.
● Reduce hallucinations through better workflows.
8. Research & Innovation
● Explore new AI models and tools.
● Evaluate emerging AI technologies.
● Build proof-of-concepts.
● Recommend new product opportunities.
9. Engineering Best Practices
● Write clean, maintainable code.
● Participate in code reviews.
● Debug AI workflows.
● Improve system performance and scalability.
What You’ll Learn
● Generative AI Development
● Large Language Models (LLMs)
● Prompt Engineering
● AI Product Development
● Agentic AI
● Retrieval-Augmented Generation (RAG)
● AI Workflow Automation
● Function Calling
● MCP Integration
● AI API Integration
● Product Thinking
● Scalable Backend Development
● AI Evaluation
● Modern Software Architecture
Who Should Apply
● Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Information
Technology, AI, Software Engineering, or related fields.
● Strong programming fundamentals.
● Experience with JavaScript, TypeScript, Python, or similar languages.
● Strong problem-solving skills.
● Curious about Generative AI and modern software development.
● Passionate about building products using AI.
● Must have built at least one AI-powered application, automation, or personal project using
Large Language Models (LLMs) or AI APIs
Career Path
Jr. AI/ML Engineer → AI/ML Engineer → Senior AI/ML Engineer → AI Technical Lead → Head of AI
Engineering
Note: This role focuses on building AI-powered software products using modern LLMs and AI APIs. It
does not require experience in Machine Learning, Deep Learning, TensorFlow, or model training. Strong