Role Overview
We are seeking a Senior AI Full Stack Engineer with strong expertise in Generative AI, modern frontend frameworks, and scalable backend systems. This role focuses on building production-grade AI-powered applications across Industrial AI, Healthcare AI, and Manufacturing AI domains.
You will design, develop, and deploy full stack solutions integrating large language models and machine learning systems into real-world applications that deliver measurable business impact.
Key Responsibilities- Design and develop end-to-end full stack applications integrating Generative AI capabilities
- Build responsive and high-performance user interfaces using React.js
- Architect and develop scalable microservices and RESTful APIs
- Implement Retrieval Augmented Generation (RAG) pipelines, embeddings, and vector search solutions
- Develop and optimize Agentic AI workflows involving multi-step reasoning and tool integration
- Fine-tune and optimize large language models for domain-specific use cases
- Work with structured and unstructured data using Python libraries such as Pandas and NumPy
- Develop machine learning models including predictive analytics and computer vision models using OpenCV and CNNs
- Implement MLOps practices for model deployment, monitoring, and lifecycle management
- Deploy applications on cloud platforms such as Microsoft Azure, AWS, or GCP
- Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps
- Ensure application scalability, performance, security, and compliance
- Participate in agile ceremonies, design discussions, and code reviews
- Mentor junior developers and contribute to engineering best practices
- Collaborate with data scientists, product managers, and UX teams to deliver AI-driven solutions
- Strong programming experience in Python, .NET, or Java
- Proficiency in React.js including modern hooks and performance optimization
- Experience designing and building microservices-based architectures
- Hands-on experience with Generative AI technologies including LLMs, RAG, embeddings, and prompt engineering
- Experience building production-grade AI applications
- Strong understanding of machine learning concepts including NLP, predictive modeling, and computer vision
- Experience with data processing libraries such as Pandas and NumPy
- Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Cosmos DB
- Experience with relational databases such as PostgreSQL or MySQL
- Familiarity with object storage systems such as Azure Blob Storage or MinIO
- Experience working with cloud platforms such as Azure (preferred), AWS, or GCP
- Experience with DevOps tools such as GitHub, Azure DevOps, or Jenkins
- Familiarity with code quality and security tools such as SonarQube and Veracode
- Experience in Industrial AI, Healthcare AI, or Manufacturing AI domains
- Understanding of LLM performance tuning, latency optimization, and cost control
- Knowledge of rate limiting, API governance, and distributed system design
- Familiarity with data compliance standards such as GDPR, HIPAA, SOC2, or ISO
- Experience with modern developer tools such as Cursor, Claude Code, or Miro
- Strong understanding of design patterns and system architecture principles
- Opportunity to build production-grade AI systems with real-world impact
- Exposure to cutting-edge technologies in Generative AI and machine learning
- Collaborative environment with cross-functional teams including AI engineers, data scientists, and product teams
- Opportunities for career growth into technical leadership roles
- Flexible work environment
- Work closely with Top notch product or customization for fortune 100 clients
- 5- 12 years of overall Experience with building and deploying end-to-end Generative AI applications in most recent 3 years.
- Ability to balance trade-offs between performance, scalability, and cost
- Strong problem-solving and system design skills
- Ability to translate complex AI concepts into user-friendly applications
- Out of the box thinker to "get things done" with help of best available AI tools, but not compromising on Engineering best practices.
Skills Required
- Experience with React and AI model integration
- Proven experience in developing scalable APIs
- Strong debugging and performance tuning skills
- Ability to lead code reviews and mentor junior developers
What We Do
Zealogics LLC provides a broad range of IT consulting, systems implementation and application outsourcing services through an optimized global delivery model. Zealogics builds deep knowledge of traditional product engineering across mechanical, electronics and software platforms, to enable clients to navigate their digital transformation. Zealogics values engineering techniques, automation frameworks, and reference models which are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies through a collaborative approach for execution. We help to harmonize processes, identify bottlenecks, and eliminate non-value tasks to deliver world-class products. With impeccable focus on client needs we connect specialized resources for the right positions, both for full time and contractual placements. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. Zealogics hires experienced people to solve a wide array of IT and Engineering challenges that our clients face. Our guarantee - Zealogics provides the best value services in town.
