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AI Engineer
Job Location:
Salary:
Posted:
20 August 2026 (16 hours ago)
Posted:
Application Deadline:
17 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
We are seeking an innovative and results-driven AI Engineer to design develop and deploy artificial intelligence machine learning Generative AI and full-stack solutions that solve real business challenges. The ideal candidate will have experience building AI-powered applications training and integrating machine learning models developing LLM and Generative AI solutions building scalable web applications and deploying enterprise solutions on cloud platforms.
The candidate should have strong hands-on experience in Python AI/ML frameworks Generative AI LLMs RAG React NestJS/Express MongoDB APIs databases and cloud technologies along with the ability to collaborate with cross-functional teams to deliver scalable secure and production-ready solutions.
Key Responsibilities
Design develop and implement AI/ML models and intelligent applications.
Build and optimize machine learning pipelines for training testing deployment and monitoring.
Develop and integrate Generative AI Large Language Models (LLMs) AI-powered copilots and intelligent assistants.
Fine-tune evaluate and monitor AI models to ensure accuracy reliability performance and cost efficiency.
Implement Retrieval-Augmented Generation (RAG) prompt engineering embeddings semantic search and vector database solutions.
Develop and integrate AI solutions with enterprise applications through REST APIs and third-party services.
Design and develop responsive front-end applications using JavaScript and TypeScript.
Develop scalable backend services and APIs using and NestJS.
Design and integrate databases including MongoDB SQL PostgreSQL and other NoSQL databases.
Build end-to-end AI-powered applications by integrating AI models APIs frontend applications backend services and databases.
Deploy AI and full-stack applications using cloud platforms such as Microsoft Azure AWS or Google Cloud.
Work with cloud-based AI services compute storage databases networking and security services.
Implement containerized application deployments using Docker and Kubernetes.
Build and maintain CI/CD pipelines for AI and application deployment.
Implement MLOps practices for model versioning deployment monitoring and lifecycle management.
Ensure AI solutions comply with security privacy governance and responsible AI standards.
Monitor production systems troubleshoot issues and continuously improve application and model performance.
Collaborate with business stakeholders product managers UI/UX designers and engineering teams to identify AI use cases and deliver business solutions.
Prepare technical designs prototypes proof-of-concepts and architecture for AI-powered applications.
Stay current with advancements in AI machine learning Generative AI cloud technologies and modern software engineering practices.
Required Qualifications
Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Engineering or a related field.
1 years of experience in AI/ML development software engineering Generative AI or a related field.
Strong programming skills in Python and experience with AI frameworks such as TensorFlow PyTorch or Scikit-learn.
Strong knowledge of Generative AI technologies LLMs prompt engineering RAG architectures embeddings and vector search.
Good programming experience in JavaScript/TypeScript.
Hands-on experience with for developing modern web applications.
Hands-on experience with and backend frameworks such as or NestJS.
Experience working with APIs databases and cloud platforms.
Experience with MongoDB and/or SQL-based databases.
Understanding of MLOps practices model deployment monitoring and CI/CD.
Understanding of Docker and containerized application deployment.
Strong analytical problem-solving debugging and communication skills.
Ability to work collaboratively with product business engineering and DevOps teams.
Preferred Qualifications
Experience with Azure AI Services Azure OpenAI Service Microsoft Copilot Studio or Microsoft Fabric.
Hands-on expertise with vector databases such as Pinecone Weaviate Azure AI Search or similar technologies.
Experience with LangChain AI Agents and Agentic AI architectures.
Experience building enterprise AI copilots intelligent assistants recommendation systems or automation solutions.
Strong experience with NestJS and MongoDB.
Familiarity with containerization technologies such as Docker and Kubernetes.
Experience with cloud platforms such as Microsoft Azure AWS or Google Cloud.
Experience implementing enterprise AI governance and responsible AI practices.
Experience with CI/CD pipelines and cloud-native application development.
AI/ML or cloud certifications are a plus.
Technical Skills
Programming: Python SQL JavaScript TypeScript
Frontend: HTML CSS TypeScript
Backend: NestJS
AI/ML Frameworks: PyTorch TensorFlow Scikit-learn
Generative AI: OpenAI Azure OpenAI LLMs Prompt Engineering RAG Embedding
Cloud Platforms: Microsoft Azure AWS Google Cloud
Databases: SQL PostgreSQL MongoDB NoSQL Vector Databases
Vector Databases: Pinecone Weaviate Azure AI Search
DevOps/MLOps: Git Docker Kubernetes CI/CD Pipelines Model Deployment Model Monitoring
APIs & Integration: REST APIs Third-Party APIs AI APIs Microservices
Security: OAuth JWT RBAC API Security Responsible AI
Success Measures:
Delivery of scalable and production-ready AI and full-stack solutions that drive measurable business value.
Improved process efficiency through AI automation and intelligent applications.
Successful implementation of Generative AI LLM RAG and AI-powered solutions.
High model accuracy application reliability performance and user satisfaction.
Successful integration of AI capabilities with enterprise applications and existing systems.
Efficient deployment and operation of AI applications across cloud environments.
Secure maintainable and scalable application architecture.
Effective implementation of security governance privacy and responsible AI standards.
Continuous improvement of model and application performance based on production feedback and business requirements.
Reporting to: Chief Technology Officer
About Company
ECS ME LLC is a global consulting company known for best in class Technology Solutions and Services in the areas of Strategic Business Consulting, Technology Consulting and Managed Services. ECS is one of the few Systems Integrators who has the capability to bridge the divide between ... View more
