#21284 - AI Developer

Qualitest Group Qualitest is hiring an AI Developer for a full-time, permanent, fully remote position open to US-based candidates only. The role focuses on building enterprise-grade AI-driven applications using Java, Python, Generative AI, LLMs, RAG, and MCP. You’ll collaborate with cross-functional teams to deliver scalable, secure AI solutions. Key Responsibilities

• Design, develop, and maintain backend services and AI agents using Java and/or Python
• Build and optimize Generative AI applications, including:
• Prompt engineering
• Retrieval-Augmented Generation (RAG)
• Agentic workflows (multi-agent orchestration, tool usage, memory management)
• Implement Model Context Protocol (MCP) to standardize AI interactions with external tools, databases, and services
• Integrate LLMs with enterprise data systems to enable scalable and secure AI solutions
• Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and context retrieval
• Collaborate with product managers, researchers, and engineers to translate AI roadmap goals into technical deliverables

Required Skills & Qualifications

• Strong programming skills in Java and/or Python
• Solid understanding of Generative AI concepts, including:
• Prompt design and optimization
• RAG pipelines and document chunking strategies
• Agentic workflows (e.g., LangChain agents, tool calling)
• Experience with LLM APIs such as OpenAI, Anthropic, or similar platforms
• Familiarity with open-source models like LLaMA, Mistral, or equivalents
• Hands-on experience implementing MCP for scalable and standardized AI-to-tool integrations
• Knowledge of RESTful APIs, microservices architecture, and cloud platforms (AWS, Azure, or GCP)

Nice to Have

• Experience with Gen AI frameworks such as LangChain, LlamaIndex, or Haystack
• Exposure to embedding models, tokenization, and context window optimization
• Understanding of MCP architecture, including clients, servers, and host applications
• Prior experience in AI/ML, NLP, or conversational AI projects
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and observability tools
• Experience integrating LLMs with internal enterprise systems and APIs

Relevant Gen AI Topics You’ll Work With

• Prompt engineering best practices (zero-shot, few-shot, chain-of-thought)
• Retrieval-Augmented Generation (RAG) with hybrid search
• Agentic architecture and autonomous agents
• Model Context Protocol (MCP) for tool and data integration
• Evaluation, safety, and reliability of Gen AI outputs
• Fine-tuning strategies and model selection

Top 3 Must-Have Skills

• Strong experience with Java and/or Python
• Hands-on experience with Generative AI and Large Language Models (LLMs)
• Expertise in MCP (Model Context Protocol) and Retrieval-Augmented Generation (RAG)
• Experience with Cloud platforms such as AWS or Azure

BenefitsWhy QualiTest?

• Be a part of a company who strives to support for diversity and inclusion in the workplace – we are one, we are many at Qualitest. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences. We have more than 40% women and around 120 different nationalities.
• Local and global opportunities – we offer you internal rotation and international mobility opportunities to grow your career.
• Clear view of your career and progression with the company – Qualitest is growing massively (since 2021 – tripled our employees base – we now have more than 8,000 engineers) and giving you the opportunity to grow with us.
• Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.Save your earnings and prepare for your future by enrolling in our 401k plan where Qualitest will match your contributions accelerating your savings plan.
• Take care of health with enrollment into one of our competitive healthcare benefits. Qualitest will match towards your HSA if you choose to participate.
• Never stop experimenting and learning with QCraft – our Learning & Development platform: 50,000+ courses, 300+ virtual labs, mentorship and leadership programs, professional tribes, sponsored certifications, and much more.
• Stay active and get rewarded with our Corporate Wellness Program. We pay your Gym membership and giving you opportunities to Earn additional vacation times for attendance the gym!
• Earn bonuses via our Client Referral and Employee Referral Program’s. Refer and earn – tap your network for net-worth.
• We recognize our employees work via our Qudos platform - You can earn bonuses and spot awards by celebrating your and your peers’ achievements.
• Planning a vacation? Looking for car insurance? Get access to Qualitest Employee Perks for discounts on anything from travel to electronics. With so many offerings the savings are endless!
• A Competitive pay, the salary range for the role is $100,000 - $110,000.
• Intrigued to find more about us?
• Visit our website at
• If you like what you have read, send us your resume and let’s start talking!

Qualitest is hiring an AI Developer for a full-time, permanent, fully remote position open to US-based candidates only. The role focuses on building enterprise-grade AI-driven applications using Java, Python, Generative AI, LLMs, RAG, and MCP. You’ll collaborate with cross-functional teams to deliver scalable, secure AI solutions. Key Responsibilities

• Design, develop, and maintain backend services and AI agents using Java and/or Python
• Build and optimize Generative AI applications, including:
• Prompt engineering
• Retrieval-Augmented Generation (RAG)
• Agentic workflows (multi-agent orchestration, tool usage, memory management)
• Implement Model Context Protocol (MCP) to standardize AI interactions with external tools, databases, and services
• Integrate LLMs with enterprise data systems to enable scalable and secure AI solutions
• Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and context retrieval
• Collaborate with product managers, researchers, and engineers to translate AI roadmap goals into technical deliverables

Required Skills & Qualifications

• Strong programming skills in Java and/or Python
• Solid understanding of Generative AI concepts, including:
• Prompt design and optimization
• RAG pipelines and document chunking strategies
• Agentic workflows (e.g., LangChain agents, tool calling)
• Experience with LLM APIs such as OpenAI, Anthropic, or similar platforms
• Familiarity with open-source models like LLaMA, Mistral, or equivalents
• Hands-on experience implementing MCP for scalable and standardized AI-to-tool integrations
• Knowledge of RESTful APIs, microservices architecture, and cloud platforms (AWS, Azure, or GCP)

Nice to Have

• Experience with Gen AI frameworks such as LangChain, LlamaIndex, or Haystack
• Exposure to embedding models, tokenization, and context window optimization
• Understanding of MCP architecture, including clients, servers, and host applications
• Prior experience in AI/ML, NLP, or conversational AI projects
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and observability tools
• Experience integrating LLMs with internal enterprise systems and APIs

Relevant Gen AI Topics You’ll Work With

• Prompt engineering best practices (zero-shot, few-shot, chain-of-thought)
• Retrieval-Augmented Generation (RAG) with hybrid search
• Agentic architecture and autonomous agents
• Model Context Protocol (MCP) for tool and data integration
• Evaluation, safety, and reliability of Gen AI outputs
• Fine-tuning strategies and model selection

Top 3 Must-Have Skills

• Strong experience with Java and/or Python
• Hands-on experience with Generative AI and Large Language Models (LLMs)
• Expertise in MCP (Model Context Protocol) and Retrieval-Augmented Generation (RAG)
• Experience with Cloud platforms such as AWS or Azure

BenefitsWhy QualiTest?

• Be a part of a company who strives to support for diversity and inclusion in the workplace – we are one, we are many at Qualitest. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences. We have more than 40% women and around 120 different nationalities.
• Local and global opportunities – we offer you internal rotation and international mobility opportunities to grow your career.
• Clear view of your career and progression with the company – Qualitest is growing massively (since 2021 – tripled our employees base – we now have more than 8,000 engineers) and giving you the opportunity to grow with us.
• Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.Save your earnings and prepare for your future by enrolling in our 401k plan where Qualitest will match your contributions accelerating your savings plan.
• Take care of health with enrollment into one of our competitive healthcare benefits. Qualitest will match towards your HSA if you choose to participate.
• Never stop experimenting and learning with QCraft – our Learning & Development platform: 50,000+ courses, 300+ virtual labs, mentorship and leadership programs, professional tribes, sponsored certifications, and much more.
• Stay active and get rewarded with our Corporate Wellness Program. We pay your Gym membership and giving you opportunities to Earn additional vacation times for attendance the gym!
• Earn bonuses via our Client Referral and Employee Referral Program’s. Refer and earn – tap your network for net-worth.
• We recognize our employees work via our Qudos platform - You can earn bonuses and spot awards by celebrating your and your peers’ achievements.
• Planning a vacation? Looking for car insurance? Get access to Qualitest Employee Perks for discounts on anything from travel to electronics. With so many offerings the savings are endless!
• A Competitive pay, the salary range for the role is $100,000 - $110,000.
• Intrigued to find more about us?
• Visit our website at
• If you like what you have read, send us your resume and let’s start talking!