About The Company
Muthoot Pappachan Technologies Limited is a leading technology solutions provider committed to delivering innovative digital services and cutting-edge AI-driven applications. With a focus on leveraging the latest advancements in artificial intelligence, machine learning, and deep learning, the company aims to transform traditional business processes and enhance enterprise capabilities. Muthoot Pappachan Technologies Limited prides itself on fostering a collaborative environment that encourages innovation, continuous learning, and technical excellence. Serving diverse industries, the company strives to develop scalable, secure, and high-performance solutions that meet the evolving needs of its clients and stakeholders.
About The Role
We are seeking a Python Developer with strong backend engineering expertise and hands-on exposure to Generative AI, Machine Learning, and Deep Learning to design, build, and scale AI-driven applications.
The role involves developing production-grade AI solutions leveraging Large Language Models (LLMs), deep learning models, and cloud AI services across cloud or on-premise environments.
You will be responsible for building high-performance backend services, integrating advanced AI/ML models, and enabling scalable API-driven platforms.
The ideal candidate should have experience in building LLM-powered systems, implementing Agentic AI workflows, and applying AI-first approaches to solve business problems.
You will work closely with cross-functional teams to deliver reliable, scalable, and secure AI solutions integrated into enterprise systems.
Qualifications
To be successful in this role, candidates should possess a strong foundation in Python development, with practical experience in AI and machine learning frameworks. A background in cloud computing, API development, and data management is essential. Candidates should demonstrate excellent problem-solving skills, the ability to work collaboratively in a fast-paced environment, and a passion for innovation in AI technologies.
Preferred qualifications include experience with Large Language Models, Generative AI systems, and deployment on cloud platforms such as AWS. Familiarity with microservices architecture, DevOps practices, and modern data processing tools will be advantageous. A degree in Computer Science, Engineering, or a related field is required, with relevant certifications being a plus.
Responsibilities
- Design, develop, and integrate LLM-based solutions (e.g., OpenAI GPT, LLaMA, HuggingFace models) into enterprise products and workflows.
- Implement Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, chunking strategies, and fine-tuning for various business use cases.
- Develop APIs and integration layers to seamlessly connect AI models with frontend and backend systems.
- Build and maintain scalable backend applications using Python with microservices architecture.
- Design and implement RESTful APIs utilizing frameworks such as FastAPI (mandatory), Flask, or Django.
- Develop Agentic AI workflows, including multi-agent coordination, tool/function calling, memory handling, and workflow orchestration.
- Integrate AI models into applications securely and efficiently, ensuring optimal communication across systems.
- Collaborate with frontend (Flutter) and backend (Node.js/Python) teams for smooth deployment of AI features.
- Test, debug, and manage API integrations using tools like cURL and other debugging mechanisms.
- Deploy AI services on cloud platforms such as AWS using services like Lambda, S3, API Gateway, EC2, ECS/EKS, DynamoDB, and RDS.
- Leverage Amazon Bedrock and SageMaker for model deployment, orchestration, and scaling.
- Develop and integrate machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Work on NLP, classification, regression, clustering, anomaly detection, and time-series modeling problems.
- Build scalable data pipelines for data processing, training, validation, and inference.
- Ensure systems are secure, scalable, cost-optimized, and production-ready with proper monitoring and observability.
- Implement DevOps and MLOps best practices, including CI/CD, model versioning, logging, and performance tracking.
- Collaborate with product teams and stakeholders to translate business requirements into AI-driven solutions.
- Contribute to architecture design, innovation, and continuous improvement of AI platforms.
Benefits
Muthoot Pappachan Technologies Limited offers a comprehensive benefits package designed to support the growth and well-being of its employees. Employees are entitled to competitive salary packages, performance-based incentives, and opportunities for professional development. The company promotes a collaborative and innovative work environment, encouraging continuous learning through training programs, workshops, and certifications. Additionally, employees have access to health insurance plans, wellness programs, and flexible work arrangements to maintain a healthy work-life balance. The organization also values diversity and inclusion, providing equal opportunities for all team members to excel and grow within the company.
Equal Opportunity
Muthoot Pappachan Technologies Limited is an equal opportunity employer. We are committed to fostering an inclusive environment where all employees and applicants are treated fairly regardless of race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. We believe that diversity enhances our innovation and success, and we actively promote a culture of respect, equity, and inclusion across all levels of the organization.
