11+ IBM Tivoli Identity Manager Jobs in Bangalore (Bengaluru) | IBM Tivoli Identity Manager Job openings in Bangalore (Bengaluru)

1) Hands on experience with Tivoli - ITM v5.1 troubleshooting.                                  

2) Familiar with Web Sphere Application Services                             

3) Familiar with Active Directory configuration                                   

4) Knowledge on LDAP, SSO.. Etc                              

5) Knowledge on Identity & Access Management process                 

     Qualiification:

• BTECH or Equivalent degree.
• 6 to 8 years of total experience.

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

• 5 + years of hands-on experience in .NET, Angular and related Web technologies.

• 2 - 3+ years of experience designing and supporting Azure environments, including IaaS and PaaS

• Past experience in cloud computing and technology systems, as well as experience in designing and transferring applications to the cloud.

• Proven experience in Continuous Integration (CI) and Continuous Delivery (CD) as well as DevOps principles to achieve SDLC goals of Global Banking Technology

• Hands on experience using the Azure/AWS administration portal.

• Knowledge of at least one other cloud hosting solution (e.g., Azure, Google, AWS, Helion Cloud).

• Good hands-on experience in SOA, XML, WSDL, XSD, WSDL XML schema and namespaces (J2EE and .NET), MS .NET Framework, C#, HTML, Javascript, Micro Services/ APIs, Messaging, Threading, IBM DB.

• Have experience on development of container applications.

• Good knowledge of IBM DB. Should be comfortable writing stored procedures and user defined functions.

• Strong business knowledge of wealth management industry.

• Component / business object modeling, services modeling.

• Experience in building high concurrency, low latency 247 availability applications.

• Strong programming skills with emphasis on writing efficient algorithms to handle large data sets and processing.

• Understanding of HTTP, IIS and how the browser works.

• Ability to coordinate with various teams to deliver projects successfully.

• Knowledge of UML design.

• Knowledge of source control (preferably Git) and continuous Integration tools.

• Have working Knowledge of DevOps and best practices. Understanding of Major DevOps Tools and implementation for Source Control, Continuous Integration, Configuration Management, Deployment Automation, containers & Orchestration

• Experience in working in Agile framework.

• Good written and verbal communication skills.

Skills Desired:

• Financial markets, payment solutions or Wealth Management previous experience

Educational Qualification:

• Bachelor’s degree in Engineering preferred from an accredited college/university

Machine Learning & Deep Learning – Strong

Experienced in TensorFlow, PyTorch, ONNX, Object Detection,  Pretrained Models like YOLO, SSD, Faster RCNN, etc…

Python – Strong

NumPy, Pandas, OpenCV

Problem Solving  - strong

C++ - average

        It will be good if candidate have working experience in C++ in any domain

Note :: Looking for Immediate to 30 days of Notice Period

JOB DESCRIPTION 

DYT - Do Your Thng, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space. 

RESPONSIBILITIES 

• Expert in Python with knowledge of Python best practices (PEP8) 
• Strong knowledge of python web frameworks such as Django, Flask • Strong knowledge of building RESTful APIs using Django Rest Framework • Good Understanding of Django ORM Libraries 
• Able to integrate multiple data sources and databases into one system • Strong experience on Linux 
• Solid database skills in a relational database (i.e. PostgresSQL,MYSql) • Able to create database schemas that represent and support business processes • Strong unit test and debugging skills 
• Proficient understanding of code versioning tools (git) 
• Experience deploying on AWS is desirable 
• Experience with Docker,Test Drive Development will be a plus 
• Excellent interpersonal, leadership, influence and communication skills • Experience in designing scalable micro-services is desirable 

QUALIFICATIONS 

• 1-3 years of experience as a backend developer 
• At least one product build and published 
• SKILLS Contribute in all phases of the development lifecycle 
• Write well designed, testable, efficient code 
• Work well under pressure and meet deadlines without sacrificing quality • Work with distributed development teams 

• A strong work ethic and sense of commitment
• Responsible for end-to-end recruitment cycle i.e., sourcing qualified candidates to deploying selected candidates with the clients.
• Understanding & analyzing the requirement of the position based on client’s specifications.
• Experience in End-to-end recruitment: Sourcing to on boarding candidates.
• Sourcing of candidates via internet postings, networking, headhunting and internal Database.
• Ability to source resumes quickly and work on multiple positions simultaneously Thorough screening applications for identifying quality candidates.
• Sound knowledge on Sourcing Candidates thru RESDEX, Monster & various Job Sites.
• Excellent knowledge in Boolean function & usage of various job board database.
• Foster long-term relationships with candidates and clients
• Draft job descriptions push them through all talent acquisition channels and coordinate candidate sourcing with the same.
• Doing junior to middle level hiring for all verticals.
• Review applicants to verify if position requirements are met.
• Format resumes meeting client expectations.
• Telephonic Screening of the profiles checking for Technical Fitment, Behavioral Fitment, Stability etc.
• Utilize your innovative and effective convincing and negotiation skills to impress and attract top talent.
• Follow up with candidates and client and maintain records of progress.
• Craft and send personalized recruiting emails with current job openings to passive candidates.
• Keep up to date with new technological trends and products
• You need to be comfortable being an individual contributor and working in an ambiguous, chaotic and fast paced work environment.
• Strong decision-making skills
• Experience in end-to-end recruitment Quick learner and a passion for bridging talent with opportunity

Minimum qualifications -

• Bachelor’s degree
• Telephonic Skills
• Interviewing & Negotiation skills
• Excellent interpersonal communication skills
• Excellent English Communication Written & Verbal, with very good E-Mail writing skills & etiquette.
• Professionalism
• Strong social aptitude and ability to build relationships
• Technical knowledge to be able to talk to job prospects and understand qualifications

• Required to work individually or as part of a team on data science projects and work closely with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions.
• Build quick prototypes to check feasibility and value to the business.
• Design, training, and deploying neural networks for computer vision and machine learning-related problems.
• Perform various complex activities related to statistical/machine learning.
• Coordinate with business teams to provide analytical support for developing, evaluating, implementing, monitoring, and executing models.
• Collaborate with technology teams to deploy the models to production.

Key Criteria:

• 2+ years of experience in solving complex business problems using machine learning.
• Understanding and modeling experience in supervised, unsupervised, and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required.
• Experience in Computer Vision/Image Processing/Pattern Recognition, Machine Learning, Deep Learning, or Artificial Intelligence.
• Understanding of Deep Learning Architectures like InceptionNet, VGGNet, FaceNet, YOLO, SSD, RCNN, MASK Rcnn, ResNet.
• Experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch.
• Knowledge of vector algebra, statistical and probabilistic modeling is desirable.
• Proficiency in programming skills involving Python, C/C++, and Python Data Science Stack (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython).
• Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus.
• Experience in data visualization software such as Tableau, ELK, etc is a plus.
• Strong analytical, critical thinking, and problem-solving skills.

• B.E/ B.Tech./ M. E/ M. Tech in Computer Science, Applied Mathematics, Statistics, Data Science, or related Engineering field.
• Minimum 60% in Graduation or Post-Graduation
• Great interpersonal and communication skills