We are seeking a highly skilled Senior GenAI Engineer/Python Fullstack Developer to join our team and lead the development of next-generation AI-powered solutions. This role is ideal for a hands-on engineer with strong expertise in Generative AI, Large Language Models (LLMs), Knowledge Graphs, MLOps, and Full-Stack Development.
You will play a key role in designing, building, and scaling enterprise-grade AI applications that drive business innovation and deliver real-world impact.
Key Responsibilities
AI & Application Development
- Design, develop, and deploy scalable AI-powered full-stack applications using Python and modern frontend technologies.
- Build and integrate Generative AI solutions leveraging frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, and RAGAS.
- Develop robust backend services and APIs using FastAPI, Flask, and microservices architecture.
- Build and maintain Human-in-the-Loop (HITL) systems to enable continuous model improvement through user feedback and validation.
Knowledge Graph & Advanced AI Solutions
- Design, implement, and maintain enterprise Knowledge Graphs using graph databases such as Neo4j, Amazon Neptune, and GraphDB.
- Work with semantic web technologies including RDF, OWL, and SPARQL.
- Develop graph-based AI solutions using techniques such as:
- Graph Neural Networks (GNNs)
- Link Prediction
- Node Embeddings
- Graph Analytics
MLOps & AI Operations
- Implement MLOps best practices for AI model deployment, monitoring, governance, and continuous integration/continuous deployment (CI/CD).
- Ensure scalability, reliability, security, and performance of AI applications.
- Develop testing frameworks, documentation, and operational support processes.
Collaboration & Innovation
- Collaborate closely with Data Scientists, ML Engineers, Architects, Product Managers, and Engineering teams.
- Drive innovation by evaluating and adopting emerging AI/ML technologies and frameworks.
- Contribute to technical discussions, architecture decisions, and best practices.
Required Skills & Qualifications
Technical Skills
- Strong proficiency in Python with experience in full-stack application development.
- Hands-on experience building and deploying AI/ML applications using Large Language Models (LLMs).
- Experience with:
- LangChain
- LangGraph
- LangSmith
- LlamaIndex
- RAGAS
- Strong understanding of Human-in-the-Loop AI systems.
- Experience with SQL and NoSQL databases.
- Experience working with cloud platforms:
- AWS
- Azure
- Google Cloud Platform (GCP)
- Knowledge of cloud-based AI/ML services and APIs.
- Experience with:
- RESTful APIs
- Microservices Architecture
- Docker
- Kubernetes
- Frontend development experience using:
- ReactJS
- Angular
- Vue.js
Process & Methodology
- Strong understanding of Software Development Life Cycle (SDLC).
- Experience working in Agile and Scrum environments.
- Ability to gather requirements and create technical specifications.
Preferred Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- Research contributions in AI/ML, including publications, patents, or conference presentations.
- Experience with advanced graph-based machine learning techniques.
Certifications (Preferred)
AWS Cloud Certification
AWS AI/ML Certification
What We're Looking For
- Excellent problem-solving and analytical skills.
- Strong communication and stakeholder management abilities.
- Ability to work independently and collaboratively in a fast-paced environment.
- Passion for innovation and emerging AI technologies.
- Continuous learner with a growth mindset.
- Positive attitude and strong ownership mindset.
Interested?
If you're passionate about building cutting-edge Generative AI solutions and want to work on transformative enterprise AI initiatives, we'd love to hear from you.
Apply now or reach out directly to learn more.
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