Python Fullstack Developer

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.

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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