LearningMate - Senior Software Developer/Tech Lead - Python & Artificial Intelligence

About the Role :

We are seeking an experienced Senior Software Developer / Tech Lead with strong expertise in Python, Artificial Intelligence, and scalable software architecture.

The ideal candidate will be responsible for leading the design, development, and deployment of AI-powered applications, backend platforms, and intelligent automation solutions while mentoring engineering teams and driving technical excellence.

This role requires a hands-on technical leader who can bridge software engineering best practices with modern AI technologies, including Generative AI, Large Language Models (LLMs), machine learning frameworks, and cloud-native architectures.

Key Responsibilities :

Technical Leadership :

• Lead the architecture, design, and development of enterprise-grade software solutions using Python.
• Drive technical strategy, architecture decisions, and engineering best practices across projects.
• Mentor and guide developers through code reviews, design discussions, and technical problem-solving.
• Establish coding standards, development frameworks, and quality assurance processes.
• Collaborate with Product Managers, Architects, Data Scientists, and Business Stakeholders to define technical roadmaps.

Python Application Development :

• Design and develop scalable backend services, APIs, microservices, and distributed systems.
• Build high-performance applications using Python frameworks such as FastAPI, Django, or Flask.
• Develop reusable components and maintainable software architectures.
• Optimize application performance, reliability, scalability, and security.
• Lead modernization and automation initiatives across engineering functions.

AI &

• Generative AI Development :
• Design and implement AI-powered solutions leveraging Large Language Models (LLMs) and Generative AI technologies.
• Build intelligent assistants, chatbots, copilots, recommendation engines, and workflow automation platforms.
• Integrate AI models from OpenAI, Anthropic, Gemini, or open-source ecosystems.
• Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and knowledge repositories.
• Evaluate emerging AI technologies and drive their adoption within the organization.

Machine Learning &

• Data Engineering :
• Collaborate with Data Science teams to deploy and scale machine learning models.
• Develop model-serving infrastructure and MLOps pipelines.
• Work with structured and unstructured datasets for AI and analytics applications.
• Build data ingestion, transformation, and processing pipelines.
• Monitor model performance and optimize production AI systems.

Cloud &

• DevOps :
• Deploy applications on AWS, Azure, or Google Cloud Platform.
• Build CI/CD pipelines and automated deployment frameworks.
• Implement containerization and orchestration using Docker and Kubernetes.
• Ensure security, observability, monitoring, and compliance across applications.
• Drive cloud-native development practices and infrastructure automation.

Quality Engineering :

• Promote test-driven development and automation-first engineering practices.
• Implement automated testing frameworks for functional, integration, and performance testing.
• Ensure high code quality through peer reviews, static analysis, and continuous improvement initiatives.

Required Skills &

Qualifications :

Technical Expertise :

• 8-12 years of software development experience with strong Python expertise.
• Deep knowledge of Python frameworks such as FastAPI, Django, and Flask.
• Strong understanding of Object-Oriented Programming, Design Patterns, and Software Architecture.
• Experience building RESTful APIs, microservices, and distributed applications.
• Expertise in SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, Redis, or Cassandra.
• Strong understanding of data structures, algorithms, and system design principles.

AI &

• Machine Learning :
• Hands-on experience with Generative AI, LLMs, and AI application development.
• Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar frameworks.
• Familiarity with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
• Knowledge of machine learning frameworks including TensorFlow, PyTorch, or Scikit-learn.
• Experience implementing RAG architectures and prompt engineering techniques.

Cloud &

• DevOps :
• Experience with AWS, Azure, or GCP services.
• Knowledge of Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
• Familiarity with monitoring and observability tools.

Leadership &

• Soft Skills :
• Proven experience leading development teams and technical initiatives.
• Strong stakeholder management and communication skills.
• Excellent analytical and problem-solving capabilities.
• Ability to mentor engineers and drive technical excellence.
• Experience working in Agile/Scrum environments.

Preferred Qualifications :

• Experience building enterprise AI products or SaaS platforms.
• Exposure to MLOps and AI governance frameworks.
• Knowledge of Agentic AI, Autonomous Agents, and Multi-Agent Systems.
• Experience with data engineering and real-time analytics platforms.
• Contributions to open-source projects or technical communities.

Educational Qualification :

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline