Senior Software Engineer - Fullstack (Python/ JavaScript)

Role Description

We are seeking a Full Stack Engineer with strong expertise in Python and JavaScript to join our dynamic AI engineering team. This role involves full-cycle AI solution developmentfrom data preprocessing and backend engineering to frontend UI development and model deployment. The ideal candidate will play a pivotal role in building scalable, intelligent systems that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents for real-world applications.

Job Description

Python Development:

• Build scalable backend systems using FastAPI, Flask, or Django
• Create efficient scripts for data processing and AI workflows
• Manipulate data using Pandas, NumPy, and Scikit-learn for preprocessing and analytics

Database and Data Management:

• Design and optimize relational databases (PostgreSQL, MySQL, SQL Server)
• Manage NoSQL and vector databases like MongoDB, Redis, Pinecone, Weaviate, etc.
• Integrate vector databases for high-speed AI inference and RAG pipelines

AI Development and Integration:

• Architect end-to-end solutions using LLMs (e.g., GPT, LLaMA) and RAG models
• Utilize libraries like LangChain, TensorFlow, PyTorch, and Hugging Face
• Optimize prompts, chains, and AI flows for domain-specific applications

AI Agent Development:

• Design and deploy AI agents for automation, recommendations, and intelligent decision-making
• Integrate agents with APIs and external systems for full-stack AI automation
• Employ reinforcement learning or hybrid logic for adaptive behavior

Model Deployment and MLOps:

• Deploy models on cloud platforms like AWS, Azure, GCP, or edge environments
• Use tools like Docker, Kubernetes, MLflow, Kubeflow for CI/CD and version control
• Implement monitoring frameworks to ensure model uptime and accuracy

UI/UX and Frontend Engineering:

• Build responsive and user-centric UIs using React, Vue.js, or Angular
• Visualize AI insights through interactive dashboards and visual components
• Ensure accessibility and iterative improvements based on user feedback

Project Management & Quality Assurance:

• Collaborate with stakeholders to understand project goals and scope
• Define solution architecture, delegate tasks, and manage delivery timelines
• Ensure rigorous QA practices for model reliability, bias control, and performance testing

Ethical AI and Compliance:

• Implement fairness, privacy, and transparency practices
• Adhere to regulations such as GDPR, CCPA in handling user data
• Document explainable AI workflows and maintain audit trails

Person Specification

• Bachelors or Masters degree in Computer Science, Software Engineering, AI/ML, or related field
• 03 - 07 years of experience in full stack development with AI project exposure
• Proven track record in LLM, RAG, or AI agent implementations
• Experience deploying models at scale using modern MLOps tooling
• Proficiency with databases (SQL, NoSQL, vector DBs) and cloud platforms
• Strong understanding of prompt engineering and model performance tuning
• Familiarity with AI testing frameworks, bias/fairness testing, and automated CI/CD pipelines
• Experience with ChromaDB, CosmosDB, OpenSearch, or SingleStore
• Knowledge of reinforcement learning, hybrid AI models, or multi-agent systems
• Prior experience in building AI-driven user interfaces or data visualization dashboards