AI Integration Developer

About Company:

Tudip Technologies Pvt. Ltd is a CMMI Level 5 extreme technology company. Careers at Tudip Technologies are not just jobs, but a promise of a bright and dynamic future. Tudip provides ample opportunities to grow within the company technically as well as a technocrat by promoting entrepreneurship. Tudip Technologies’ careers will enable you to help clients enhance and improve while you build your career. We are a place which defines Integrity, Innovation, and Serenity. Tudip provides you a better platform that transforms an individual into an experienced and immensely skilled professional through an ethical and vibrant business environment. We are here for effective client servicing, taking care of our employees’ needs, and creating a success story to remember.

Job Summary:

We are looking for an AI Integration Developer to design, develop, integrate, and deploy AI and machine learning solutions within enterprise applications. The ideal candidate will have hands-on expertise in Python, machine learning frameworks, Generative AI, LLMs, RAG architectures, AWS AI services, and API development, along with the ability to integrate AI capabilities into .NET-based applications.

Please read the job criteria below and drop us an email at [email protected] OR create an account on our Recruitment Portal to get started.

Key Responsibilities

• Design, develop, train, validate, and deploy machine learning models for business applications.
• Implement supervised and unsupervised learning techniques, including classification, regression, and clustering.
• Perform feature engineering, data preprocessing, model evaluation, optimization, and performance monitoring.
• Develop AI-powered conversational applications, chatbots, document processing solutions, and automation systems.
• Integrate LLMs such as GPT and Claude into enterprise workflows.
• Design and implement prompt engineering strategies and RAG-based solutions.
• Work with vector databases such as Pinecone, FAISS, and Weaviate to support semantic search and knowledge retrieval.
• Develop AI services and integrate models with enterprise applications using RESTful APIs.
• Build and maintain data processing pipelines for structured and unstructured datasets.
• Work with large and complex datasets, including healthcare and genomics data, where applicable.
• Develop, deploy, monitor, and scale AI solutions using AWS services, including SageMaker, Bedrock, Lambda, S3, IAM, and Nextflow.
• Design cloud-based AI architectures that support security, scalability, reliability, and performance.
• Integrate AI models and services with .NET-based applications using ASP.NET Core, Blazor, MVC, Web APIs, and Entity Framework.
• Develop and maintain backend services, database integrations, and API connections within .NET environments.
• Apply microservices architecture, API-first design, authentication, and security best practices.
• Implement MLOps workflows, Docker-based deployments, CI/CD pipelines, and model monitoring.
• Prepare technical documentation, architecture diagrams, deployment plans, and solution designs.
• Collaborate with engineering teams and business stakeholders to translate business requirements into practical AI solutions.
• Support production deployments, troubleshoot issues, and maintain operational reliability.

Required Technical Skills

• Proficiency in Python and practical AI/ML solution development.
• Strong understanding of supervised and unsupervised learning, model training, validation, evaluation, and feature engineering.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Practical knowledge of LLMs, Generative AI, prompt engineering, and RAG.
• Experience developing conversational AI, chatbots, and document processing solutions.
• Knowledge of vector databases and semantic search technologies.
• Hands-on experience with AWS AI/ML and cloud services, particularly SageMaker, Bedrock, Lambda, S3, IAM, and Nextflow.
• Experience deploying and monitoring AI models in production environments.
• Strong understanding of RESTful APIs, microservices, and enterprise application integration.
• Knowledge of SQL/NoSQL databases, Git, Docker, and CI/CD pipelines.
• Familiarity with ASP.NET Core, Blazor/MVC, Web APIs, Entity Framework, and .NET application architecture.
• Understanding of authentication, application security, and cloud-based deployment environments.
• Strong analytical thinking, problem-solving, communication, and documentation skills.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• AWS AI/ML certification, with AWS Certified Machine Learning - Specialty preferred.
• Exposure to healthcare, licensing, insurance, or genomics-related systems.
• Experience working within structured project environments with formal documentation and delivery requirements.
• Ability to communicate complex AI concepts clearly to non-technical stakeholders.
• Experience supporting production systems, critical deployments, and operational troubleshooting.