10,194 AI Implementation jobs in India

As an AI Implementation Engineer, you will be responsible forintegrating, optimizing, and deploying AI/ML solutions that enhance banking intelligence, automation, and fraud detection. Whether youre working on backend systems, frontend AI-powered interfaces, or full-stack AI implementations, your contributions will help shape the future of AI-driven banking.

Responsibilities

• Develop & deploy AI/ML models for banking, payments, and fraud detection.
• Integrate AI-powered decision-making into real-time banking systems.
• Optimize AI pipelines for scale, latency, and security.
• Leverage NLP, Computer Vision, or Generative AI to build intelligent banking solutions.
• Work with engineering teams to productionize AI solutions within Zeta s platform.
• Use MLOps best practices to ensure seamless AI model deployment, monitoring, and scaling.
• Mine TBs of transaction data to generate insights and improve predictive capabilities.
• Experiment with AI-driven user experiences (chatbots, voice assistants, Copilot-like interfaces).
• Ensure AI models comply with regulatory and security standards.

Skills

• Must have 1-5 years experience in building AI Tools and working on Copilot, PowerApps. Past projects should be included in github.
• Strong AI/ML experience (training, deploying, and scaling models in production).
• Proficiency in Python, TensorFlow, PyTorch, or scikit-learn.
• Experience with ML model deployment (Docker, Kubernetes, MLflow, or similar).
• Knowledge of MLOps pipelines, versioning, and monitoring.
• Experience working with large datasets, feature engineering, and model tuning.
• Understanding of Generative AI, NLP, or Computer Vision.
• Ability to integrate AI solutions into backend or frontend applications.
• You must have your github / repo links on your resume to showcase your past projects.

Role:  Data Science & Machine Learning - Other

Industry Type:  IT Services & Consulting

Department:  Data Science & Analytics

Employment Type:  Full Time, Permanent

Role Category:  Data Science & Machine Learning

Education

UG:  Any Graduate

PG:  Any Postgraduate

We're looking for a highly skilled and visionary Agentic AI Implementation Engineer who can design, build, and deploy intelligent systems using Agentic RAG (Retrieval Augmented Generation) techniques and custom GPTs . This pivotal role will involve creating autonomous or semi-autonomous agents powered by Large Language Models (LLMs) that are capable of sophisticated task planning, contextual decision-making, and iterative information retrieval. You will operate at the intersection of advanced prompt engineering, tool orchestration, and multi-step reasoning , with a strong focus on performance, scalability, and user-centric design.

• Architect & Implement Agentic Workflows: Design and implement robust agentic workflows leveraging RAG pipelines, LLM agents, and external tool integrations .
• Design Modular Systems: Create modular, agentic systems that seamlessly incorporate planning, memory, tool use, and context-aware reasoning capabilities.
• Develop & Optimize Custom GPTs: Develop and fine-tune custom GPTs utilizing advanced prompt engineering and OpenAI's custom instructions, functions, and APIs .
• Integrate Knowledge Bases: Integrate diverse knowledge bases, vector stores (e.g., FAISS, Pinecone, Weaviate, Cosmos DB, ChromaDB) , and APIs into a cohesive Agentic RAG architecture.
• Fine-tune Agent Behaviors: Fine-tune agent behaviors for a variety of real-world applications, such as customer support, research assistants, and code agents.
• Collaborate Cross-functionally: Work closely with product managers, UX designers, and backend engineers to ship scalable and robust AI solutions.
• Rapid Prototyping & Experimentation: Rapidly prototype ideas, conduct LLM experiments, and iterate on designs using both quantitative and qualitative metrics.
• Monitor & Optimize Performance: Continuously monitor system performance, detect and address reasoning failures, hallucinations, and retrieval mismatches to ensure high-quality outputs.
• Stay Updated: Remain current with the latest research and advancements in Agentic AI, RAG, tool use, and autonomous agents.

• Experience: Proven experience in software engineering, ML systems, or applied NLP/LLM development.
• Agentic RAG Frameworks: Strong expertise in Agentic RAG frameworks such as LangGraph, AutoGPT, CrewAI, and LangChain Agents .
• Custom GPTs & OpenAI API: Demonstrated ability to design and implement custom GPTs using advanced prompt strategies and the OpenAI API (functions, tools, memory) .
• Vector Databases & Embeddings: Hands-on experience with vector databases (e.g., Cosmos DB, Pinecone, ChromaDB), embeddings, and semantic search .
• Retrieval Augmentation: Deep understanding of retrieval augmentation, context compression, multi-hop querying, and memory management .
• Programming & LLM Tooling: Fluency in Python and experience with modern LLM tooling (e.g., LangChain, LlamaIndex ).
• Systems Thinking: Strong systems thinking and the ability to effectively balance trade-offs between model performance, latency, and accuracy.
• Agile Environment: Comfortable with fast-paced, iterative environments and exploratory development.

• Autonomous Agents: Experience with autonomous agents and frameworks like AutoGen, OpenAgents, or BabyAGI .
• AI Safety & Ethics: Understanding of AI safety, ethics, and control mechanisms in agentic systems.
• LLM Evaluation: Familiarity with evaluation techniques for LLM pipelines (e.g., hallucination detection, prompt testing frameworks).

We are seeking an experienced AI Developer to join our innovative team in India. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, and will be responsible for developing and implementing AI solutions that enhance our products and services.

• Design and develop AI models and algorithms to solve complex problems.
• Collaborate with cross-functional teams to integrate AI solutions into existing products.
• Analyze and interpret large datasets to derive actionable insights using AI techniques.
• Stay up-to-date with the latest AI trends, technologies, and best practices.
• Participate in code reviews and maintain documentation for AI models and systems.

• Master's or Bachelor's degree in Computer Science, Data Science, or a related field.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis using libraries like Pandas and NumPy.
• Knowledge of natural language processing, computer vision, or reinforcement learning techniques.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.

We are seeking an experienced AI Developer to join our dynamic team in India. The ideal candidate will have 5-15 years of experience in developing and deploying AI solutions, with a passion for leveraging technology to drive innovation.

• Design and implement AI models and algorithms to solve complex problems.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Conduct research to stay updated with the latest advancements in AI technology.
• Analyze and interpret data to inform decision-making and enhance AI models.
• Ensure the performance and scalability of AI solutions through rigorous testing and optimization.

• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of machine learning frameworks like TensorFlow, Keras, or PyTorch.
• Experience with data analysis and visualization tools such as Pandas, NumPy, and Matplotlib.
• Familiarity with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
• Knowledge of algorithms, data structures, and software development principles.

We are seeking an experienced AI Developer to join our team in India. The ideal candidate will have a strong background in AI and machine learning, capable of designing and implementing advanced AI solutions.

• Design and develop AI algorithms and models to solve complex problems.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Conduct research to stay updated on the latest AI technologies and methodologies.
• Perform data analysis and preprocessing to ensure high-quality input for AI models.
• Evaluate and optimize the performance of AI systems and models.

• 5-14 years of experience in AI/ML development or related fields.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of machine learning frameworks like TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis using tools like Pandas and NumPy.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI applications.
• Solid grasp of algorithms, data structures, and software development principles.

We are seeking an experienced AI Developer to join our team in India. The ideal candidate will have a strong background in AI and machine learning, capable of developing innovative solutions to meet business needs. You will collaborate with various teams to implement AI models and contribute to the advancement of our projects.

• Develop and implement AI models and algorithms to solve complex problems.
• Collaborate with cross-functional teams to understand project requirements and deliver AI solutions.
• Conduct research to stay updated with the latest advancements in AI and machine learning technologies.
• Analyze and preprocess data for training AI models.
• Test and validate AI models to ensure accuracy and performance.
• Document AI development processes and maintain project records.

• Proficiency in programming languages such as Python, Java, or R.
• Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis tools such as Pandas and NumPy.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
• Knowledge of natural language processing (NLP) and computer vision techniques.
• Ability to work with large datasets and experience in data preprocessing techniques.

We are seeking an experienced AI Development professional to join our team in India. The ideal candidate will have a strong background in artificial intelligence and machine learning, with a passion for developing innovative solutions that drive business success.

• Develop and implement AI algorithms and models for various applications.
• Collaborate with cross-functional teams to define project requirements and deliverables.
• Conduct research and analysis to improve existing AI systems and processes.
• Participate in code reviews and provide constructive feedback to team members.
• Stay updated with the latest advancements in AI technology and methodologies.

• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of data structures, algorithms, and software development principles.
• Knowledge of natural language processing (NLP) and computer vision is a plus.
• Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.

We are seeking an experienced AI Developer to join our team in India. The ideal candidate will have 5-14 years of experience in developing AI solutions, a strong background in machine learning, and the ability to work collaboratively on innovative projects.

• Design and develop AI models and algorithms to solve complex problems.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Conduct research to improve AI models and implement best practices.
• Analyze large datasets to extract insights and enhance model performance.
• Participate in code reviews and maintain high-quality coding standards.

• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of machine learning frameworks like TensorFlow or PyTorch.
• Experience with data analysis tools such as Pandas, NumPy, and SQL.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of algorithms, data structures, and software design principles.
• Ability to work collaboratively in a team environment and communicate effectively.