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Location
In office (Mumbai)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 4, 2026. Tudip Technologies scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tudip Technologies is an Indian IT services and product engineering company based in Pune that delivers AI and machine learning, cloud, data engineering, Salesforce, quality assurance and learning services to clients worldwide. Appraised at CMMI Level 5, it serves fintech, gaming, healthcare, telecom, logistics and travel clients, runs a training and enablement business and builds its own products including AscentPath.AI, Testily.AI, VoXgent.AI and GreatHR, with offices listed in the US, Canada, Singapore and Dubai. It hires .NET, Java, Flutter and Salesforce developers, QA leads, digital marketing managers, partner and program managers, instructional designers and AI trainers.

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 and 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 that 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 a skilled AI Engineer with 2-5 years of experience to join our engineering team. The ideal candidate should have hands-on experience in Artificial Intelligence, Machine Learning, Python, Generative AI, and AI/ML frameworks. You will be responsible for designing, developing, and deploying AI-driven solutions that solve real-world business problems.

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, and deploy AI/ML models and applications.
  • Develop AI solutions using Python and relevant AI/ML frameworks.
  • Work with Generative AI, LLMs, prompt engineering, and AI-powered applications.
  • Build and integrate REST APIs for AI/ML solutions.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Fine-tune and optimize machine learning and deep learning models.
  • Work with LLMs and frameworks such as LangChain, LlamaIndex, or similar technologies.
  • Develop RAG (Retrieval-Augmented Generation) based applications and integrate vector databases.
  • Integrate AI solutions with existing applications and third-party services.
  • Monitor model performance and troubleshoot AI/ML applications in production.
  • Collaborate with software developers, data scientists, product teams, and other stakeholders.
  • Stay updated with the latest developments in Generative AI, LLMs, Machine Learning, and AI engineering.

Required Skills

  • 2-5 years of hands-on experience in AI/ML Engineering or a related field.
  • Strong programming skills in Python.
  • Good understanding of Machine Learning and Deep Learning concepts.
  • Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent.
  • Hands-on experience with Generative AI and Large Language Models (LLMs).
  • Knowledge of Prompt Engineering and LLM integration.
  • Experience with RAG, embeddings, vector databases, and semantic search.
  • Experience working with REST APIs and AI/ML model integration.
  • Good understanding of data structures, algorithms, and software development practices.
  • Familiarity with Git and CI/CD processes.

Good to Have

  • Experience with OpenAI, Azure OpenAI, Gemini, Claude, or other LLM APIs.
  • Experience with vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
  • Knowledge of AWS, Azure, or GCP AI/ML services.
  • Experience with Docker and Kubernetes.
  • Knowledge of MLOps and model deployment.
  • Experience building AI chatbots, AI agents, recommendation systems, or document intelligence solutions.

Education

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
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