Job Overview
| Particulars | Details |
|---|---|
| Position | AI Engineer (Mid-to-Senior) |
| Company | MarketOnce |
| Location | Fully (WFH) |
| Job Type | Remote |
| Category / Department | IT |
| Application Mode |
🏢 About MarketOnce
Company Overview:
MarketOnce is a business insights and strategy company that provides research, consulting, corporate, and private equity firms with solutions designed to support critical business decisions. The company combines innovation and expertise across research, software, consulting, advertising, and marketing.
MarketOnce collaborates with consulting firms, research companies, Fortune 500 companies, rapidly growing corporations, and private equity firms. The company is headquartered in Denver, Colorado, with a global team working across the US, Canada, and Europe.
Company Mission:
Not Provided
Company Vision:
Not Provided
Core Values / Principles
Innovation
Strategic thinking
Quality
Client-focused solutions
Expertise
Business-driven decision-making
Not Provided
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight hands-on Generative AI and LLM application development experience.
Showcase production applications where you integrated AI capabilities.
Clearly mention RAG implementations, including retrieval and context-generation workflows.
Highlight experience with prompt engineering and structured outputs.
Include AI agent, tool-use, or workflow automation projects.
Mention Azure AI services and/or OpenAI API experience prominently.
Clearly list Python and/or C# expertise.
Include relevant experience with vector databases, embeddings, evaluation, and observability if applicable.
Add links to relevant AI projects, GitHub repositories, portfolios, or production work where appropriate.
Interview Preparation:
Revise LLM architecture and practical application patterns.
Prepare to explain RAG architecture, retrieval strategies, embeddings, and vector databases.
Review prompt engineering and structured output techniques.
Prepare examples of AI agents and tool-calling workflows.
Understand LLM evaluation, testing, reliability, and observability.
Review Azure AI services and OpenAI API integration.
Be prepared to discuss production challenges such as latency, cost, reliability, hallucinations, and scalability.
Revise REST APIs, microservices, SQL, and NoSQL concepts if applicable.
Professional Tips:
Position yourself as an AI application builder rather than only a model researcher.
Emphasize shipped, production-ready AI features and measurable outcomes.
Include architecture details and technologies used in significant AI projects.
Keep your portfolio focused on practical AI solutions and real-world product applications.
Follow the specified email subject when submitting your application.
📝 Job Description
Position Details:
MarketOnce is looking for a mid-to-senior-level AI Engineer who can turn modern AI capabilities into reliable, production-ready application features. The role is focused on practical AI engineering and application integration rather than research-oriented data science.
The selected candidate will design, build, and integrate AI-powered functionality across production applications. Responsibilities may include developing LLM-driven workflows, intelligent agents, retrieval systems, structured AI outputs, and other AI application capabilities.
Candidates should have strong hands-on knowledge of Generative AI and Large Language Models, prompt engineering, RAG, AI agents, Azure AI services and/or OpenAI APIs, and Python and/or C#.
Benefits / Compensation
Fully remote work arrangement.
Compensation paid in USD.
Salary will be discussed after the interview.
Other benefits are Not Provided.
Candidate Requirements:
Mid-to-senior-level AI engineering experience.
Strong knowledge of Generative AI and Large Language Models.
Experience with AI application development and integration.
Knowledge of prompt engineering and structured outputs.
Experience with Retrieval-Augmented Generation (RAG).
Experience with AI agents, tools, and skills.
Experience with Azure AI services and/or OpenAI APIs.
Proficiency in Python and/or C#.
Strong ability to build reliable, production-ready AI features.
Preferred Skills:
Vector databases and embeddings
AI evaluation, testing, and observability
Document processing and intelligent chunking
Fine-tuning and model optimization
Microsoft Azure
REST APIs and microservices
SQL and NoSQL technologies
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates should send their resume or portfolio to nadeem.gaziani@marketonce.com with the subject line "AI Engineer Application."
🎯 Key Responsibilities
- ✓ Design and build AI-powered features for production applications.
- ✓ Integrate Generative AI and LLM capabilities into real-world applications.
- ✓ Develop LLM-driven workflows.
- ✓ Build and integrate intelligent AI agents.
- ✓ Implement Retrieval-Augmented Generation systems.
- ✓ Apply prompt engineering and structured output techniques.
- ✓ Integrate Azure AI services and/or OpenAI APIs.
- ✓ Develop reliable and production-ready AI solutions.
- ✓ Work at the intersection of AI capabilities, application architecture, and product requirements.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a AI Engineer (Mid-to-Senior) offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹3,50,000 - ₹6,00,000 per annum (Freshers/Entry level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
What position is MarketOnce hiring for?
MarketOnce is hiring for a mid-to-senior-level AI Engineer position.
Is the AI Engineer position remote?
Yes. The position is fully remote and allows work from home.
What experience level is required?
The position is intended for mid-to-senior-level candidates. A specific number of years of experience is not provided.
Is this a research or data science role?
No. The role is primarily focused on building and integrating practical AI solutions into production applications rather than pure research or data science.
What Generative AI skills are required?
Candidates should have experience with Generative AI, LLMs, prompt engineering, structured outputs, RAG, and AI agents.
Is experience with Azure or OpenAI required?
Yes. Experience with Azure AI services and/or OpenAI APIs is listed as a core requirement.
Which programming languages are required?
Candidates should have proficiency in Python and/or C#.
What are some of the nice-to-have skills?
Vector databases, embeddings, AI evaluation and observability, document processing, fine-tuning, Microsoft Azure, REST APIs, microservices, SQL, and NoSQL are listed as desirable skills.
How is the position compensated?
Compensation is paid in USD, with the salary discussed after the interview.
How can candidates apply?
Candidates can send their resume or portfolio to nadeem.gaziani@marketonce.com with the subject "AI Engineer Application."
Share This Job
🛡️ Safety Disclaimer: JobPortalConnect curates official listings for informational purposes. Genuine recruiters will never ask you for processing fees, training payments, or security deposits. If you spot suspicious activity, copyright issues, or wish to request the removal of this listing, please report it to us immediately at contact.jobportalconnect@gmail.com.