6

Artificial Intelligence Developer Graduate Jobs in Bangalore

filter
  • Location
  • Role
  • Functional Area
  • Qualification
  • Experience
  • Employer Type
  • 2 - 7 yrs
  • 12.0 Lac/Yr
  • Bangalore Hyderabad Road
Python Language AI Chatbots Machine Learning SQL Azure AWS AI Python Java Cloud Computing
Vacancy for AI Developer.
View all details
  • 2 - 5 yrs
  • 11.0 Lac/Yr
  • Bangalore
Agentic AI Computer Vision LLMs MLflow RAG LangChain LangGraph CrewAI OCR FAISS PyTorc TensorFlow LoRA QLoRA PEFT CNN
AI Developer (Agentic AI Frameworks, Computer Vision & LLMs)Dear Candidate.Greetings from 3 Kubed Consulting India Pvt Ltd.!!We are seeking a highly skilled and experienced AI Developer (Agentic AI Frameworks, Computer Vision & LLMs) for one of our prestigious clients for Bangalore location. The brief JD is as below. EXP: 3+ years REL EXP: 3+ YRS Location: Bangalore NP: Ideally Immediate, max 30 days Interview: 2/3 virtual rounds, one python coding round Work mode: REMOTE Employment Mode: PMT with CAIOur client is seeking an AI Developer who specializes in agentic AI frameworksLangChain, LangGraph, CrewAI, or equivalentsand who can take both vision and language models from prototype to production. You will lead the design of multi agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end to end deep learning life cycle (training, scaling, deployment, and monitoring).Key ResponsibilitiesAgentic AI Frameworks (Primary Focus): Architect and implement multi agent workflows using LangChain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decision making, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability).Image Classification & Extraction: Build and fine tune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable data ingestion, labeling, and augmentation pipelines.LLM Fine Tuning & Retrieval Augmented Generation (RAG): Fine tune open weight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domain specific adapters.Deep Learning at Scale: Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI.MLOps & Production Excellence: Build robust APIs/micro services (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning.Collaboration & Mentorship: Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices.Minimum Qualifications: B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git. Demonstrable expertise in at least one agentic AI framework (LangChain, LangGraph, CrewAI, or comparable). Proven delivery of computer vision models for image classification/extraction. Hands on experience fine tuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization.With regards,For 3 Kubed Consulting India Pvt Ltd
View all details

ML Engineer

Smartcore Solutions

  • 4 - 6 yrs
  • 17.0 Lac/Yr
  • Electronic City Bangalore
Machine Learning Python Git Google Cloud AI Developer OpenAI Google Cloud AI Azure Cognitive Services Scripting Golang
Job Title: ML Engineer - Workflow Automation & Response Intelligence Role Overview: We-re seeking an experienced ML Engineer to lead initiatives in workflow automation and sentiment-driven response generation using third-party AI agents. The candidate will be responsible for integrating external AI services, orchestrating intelligent workflows, and ensuring contextual, automated replies based on sentiment and intent.Key Responsibilities:Integrate and orchestrate third-party AI agents for sentiment analysis and auto-response generationDesign and maintain workflow automation pipelines that trigger intelligent actions based on AI outputsConfigure and fine-tune agent behavior for tone, escalation logic, and contextual relevanceCollaborate with engineering and product teams to define response logic and escalation pathsMonitor agent performance, ensure reliability, and manage API interactionsDocument workflows, integration logic, and fallback strategies in ConfluenceRequired Skills:4-5 years of experience in AI/ML engineering or intelligent automationStrong proficiency in Python for scripting and API orchestrationExperience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)Familiarity with sentiment analysis, intent classification, and response generationWorkflow orchestration using tools like Airflow, Prefect, or custom schedulersREST API integration and error handlingVersion control using Git, and task management via JiraNice to Have:Exposure to LangChain, Rasa, or other conversational AI frameworksExperience with LLM prompt engineering and agent chainingUnderstanding of ethical AI principles and fallback logic for agent responsesExposure to Golang and PostgreSQL database
View all details
  • 7 - 10 yrs
  • MG Road Bangalore
Dot Net AI Engineer OpenAI SQL Azure Azure Server Chatbot AI Chatbots Cloud Engineer
Were Hiring AI Developer Bengaluru (MG Road) Immediate Joining We are looking for an experienced AI Developer with 10+ years in IT, specializing in: .Net Core, AI Chatbots, OpenAI, Azure SQL, Azure DevOps, Integrations Nice to have: Azure Databricks, Azure Data Lake Location: Client office, MG Road, Bengaluru If you are interested and available, please share your updated resume along with the following details: Email: manish@aqusagtechnologies.com WhatsApp: +91 8860355791Looking forward to your response!Best regards,Manish Pundirwww.aqusag.com
View all details

Get Personalized Job Matches

Based on your experience, skills, interests, and career goals to help you find the most relevant opportunities faster. Register Now!
Artificial Intelligence Developer Machine Learning Work From Home
a) Machine learning model integration b) AI algorithm implementationc) Data pre-processingd) AI model deploymente) AI system testingf) Hands on experience with programming languages like Python, Java, Ruby and PHPg) Build reusable code and libraries for future useh) Participate in the entire application lifecycle, focusing on coding and debuggingi) Knowledge of machine learning concepts for advanced applications involving model fine-tuning or customization.j) Basic understanding of NLP concepts like text pre-processing, tokenization, stemming/lemmatization, and language models.
View all details
  • 1 - 4 yrs
  • 6.0 Lac/Yr
  • Bangalore +1 Delhi
FullStack Developer Work From Home
Petixa Pet Services is a leading pet care service provider committed to delivering exceptional care and services to our clients and their beloved pets. We are seeking a skilled and innovative AI Full Stack Generative Developer to join our team. In this role, you will play a crucial role in developing and implementing artificial intelligence solutions to enhance our pet care services and improve overall customer experience.Responsibilities:Design and develop AI-powered applications and systems that automate and optimize various aspects of our pet care services.Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and translate them into effective technical solutions.Implement and maintain full stack solutions for generative models, including data preprocessing, model training, and deployment.Research and experiment with state-of-the-art AI algorithms and techniques to improve the effectiveness and efficiency of our pet care services.Build and deploy scalable and reliable AI systems that can handle large volumes of data and provide real-time insights.Ensure the security and privacy of sensitive data used in AI systems and comply with relevant regulations and standards.Continuously monitor and optimize AI models and systems to improve performance and accuracy.Collaborate with the product team to identify new opportunities for AI integration and provide technical guidance on feasibility and implementation.Stay up to date with the latest advancements in AI and related technologies and share knowledge with the team.Document technical specifications, system architecture, and implementation details for future reference and knowledge sharing.Requirements:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Proven experience (X years) in developing AI-powered applications and systems, with a focus on generative models.Strong proficiency in programming
View all details