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Required skills / knowledge
• Experienced in software development and proficient in one or more of the following
programming languages - Python, JAVA and/or Perl.
• Experience with SDLC (software development lifecycle) best practices with large software
development projects is a must.
• Good knowledge in Computer Science fundamental
• Good organizational and English communication skills, prioritization of multiple projects and
objective.
Preferred skills / knowledge:
• Knowledge of storage technologies and disciplines namely, Fibre Channel, ISCSI, SCSI, NFS, CIFS,
POSIX, Object Storage, SAS, SATA, FLASH (NVME, SSD, etc.), RAID, Erasure Coding,
Distributed/Scale-out Storage, File systems, High-availability methods, working knowledge of
databases etc. are strongly preferred. Understanding networking protocols and connectivity
preferred.
• System Architecture experience within enterprise UNIX (RHEL)/Windows Server environments,
Container environments (RH Open Shift/Kubernetes/Docker, etc.) and Cloud environments
(Azure/AWS/Google) is highly desirable but not required.
• Understanding of Client/Server, Scaleout architectures, virtualization, performance and capacity
management strongly preferred.
• Good knowledge and experience of using Linux provisioning and system configuration
management tools such as Ansible, Puppet, Salt Stack, or Chef strongly preferred. Experience in
automation of a large-scale Linux deployment is preferred.
• Effective troubleshooting skills across O/S, network and storage.
• Knowledge in the following vendor products is preferred but not required: NetApp
7mode/cDOT/Engenio, IBM Spectrum Scale (aka GPFS), HDS Storage Arrays/HCP, EMC Atmos,
Brocade SAN/FOS, Veritas Storage Foundation Suite
Job Title: AI Engineer
Location: Bengaluru
Experience: 3 Years
Working Days: 5 Days
About the Role
We’re reimagining how enterprises interact with documents and workflows—starting with BFSI and healthcare. Our AI-first platforms are transforming credit decisioning, document intelligence, and underwriting at scale. The focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and human-in-the-loop (HITL) automation to accelerate outcomes across lending, insurance, and compliance workflows.
As an AI Engineer, you’ll be part of a high-caliber engineering team building next-gen AI systems that:
- Power robust APIs and platforms used by underwriters, credit analysts, and financial institutions.
- Build and integrate GenAI agents.
- Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.
Key Responsibilities
- Build and optimize ML/DL models for document understanding, classification, and summarization.
- Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
- Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
- Package and deploy models as REST APIs or microservices in production environments.
- Collaborate with engineering teams to integrate models into existing products and workflows.
- Continuously monitor and retrain models to ensure reliability and performance.
- Stay updated on emerging AI frameworks, architectures, and open-source tools; propose improvements to internal systems.
Required Skills & Experience
- 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and building ML solutions.
- Strong Python proficiency with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
- Solid understanding of transformers, embeddings, and NLP pipelines.
- Experience working with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
- Exposure to OCR, document parsing, and unstructured text analytics.
- Familiarity with model serving, APIs, and microservice architectures (FastAPI, Flask).
- Working knowledge of Docker, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
- Strong grasp of data preprocessing, evaluation metrics, and model validation workflows.
- Excellent problem-solving ability, structured thinking, and clean, production-ready coding practices.
Who we are: My AI Client is building the foundational platform for the "agentic economy," moving beyond simple chatbots to create an ecosystem for autonomous AI agents and they aim to provide tools for developers to launch, manage, and monetize AI agents as "digital coworkers."
The Challenge
The current AI stack is fragmented, leading to issues with multimodal data, silent webhook failures, unpredictable token usage, and nascent agent-to-agent collaboration. My AI Client is building a unified, robust backend to resolve these issues for the developer community.
Your Mission
As a foundational member of the backend team, you will architect core systems, focusing on:
- Agent Nervous System: Designing agent-to-agent messaging, lifecycle management, and high-concurrency, low-latency communication.
- Multimodal Chaos Taming: Engineering systems to process and understand real-time images, audio, video, and text.
- Bulletproof Systems: Developing secure, observable webhook systems with robust billing, metering, and real-time payment pipelines.
What You'll Bring
- My AI Client seeks an experienced engineer comfortable with complex systems and ambiguity.
Core Experience:
● Typically 3 to 5 years of experience in backend engineering roles.
● Expertise in Python, especially with async frameworks like FastAPI.
● Strong command of Docker and cloud deployment (AWS, Cloud Run, or similar).
● Proven experience designing and building microservice or agent-based architectures.
Specialized Experience (Ideal):
- Real-Time Systems: Experience with real-time media transmission like WebRTC, WebSockets and ways to process them.
- Scalable Systems: Experience in building scalable, fault-tolerant systems with a strong understanding of observability, monitoring, and alerting best practices.
- Reliable Webhooks: Knowledge of scalable webhook infrastructure with retry logic, backoffs, and security.
- Data Processing: Experience with multimodal data (e.g., OCR, audio transcription, video chunking with FFmpeg/OpenCV).
- Payments & Metering: Familiarity with usage-based billing systems or token-based ledgers.
Your Impact
- The systems designed by this role will form the foundation for:
- Thousands of AI agents for major partners across chat, video, and APIs.
- A new creator economy enabling developers to earn revenue through agents.
- The overall speed, security, and scalability of my client’s AI platform.
Why Join Us?
- Opportunity to solve hard problems with clean, scalable code.
- Small, fast-paced team with high ownership and zero micromanagement.
- Belief in platform engineering as a craft and care for developer experience.
- Conviction that AI agents are the future, and a desire to build their powering platform.
- Dynamic, collaborative in-office work environment in Bengaluru in a Hybrid setup (weekly 2 days from office)
- Meaningful equity in a growing, well-backed company.
- Direct work with founders and engineers from top AI companies.
- A real voice in architectural and product decisions.
- Opportunity to solve cutting-edge problems with no legacy code.
Ready to Build the Future?
My AI Client is building the core platform for the next software paradigm. Interested candidates are encouraged to apply with their GitHub, resume, or anything that showcases their thinking.
Recruitment
Finding eligible candidates
Establishing and maintaining criteria for what an eligible candidate is (ie point score on interview, ref parse out doc)
Preliminary interview (record and report). Final offer to be deliberated amongst the founders
Building business relationships with recruiters
Advising us on new ways to recruit
Onboarding
Keeping track of documents of candidates
Offer letter to be sent
Training classes to scheduled
HR meeting
Creating ID cards
Getting access cards
Sending PF documentation to accountant
Giving employment contract
General operations
Scheduling week to week
Planning and keeping track of PTO, sick leave, emg leave etc. (End of year handling rollover reports for PTO)
Maintaining weekly hours review. Ensuring accuracy every week.
Giving monthly report to founders for billing
Monitoring tardies and absences and reducing this
Keeping track of each employees vertical based on QA recommendations and tardiness/behavioral issues
Written notices, documentation
Scheduling performance reviews
Keeping track of raises and increments
Proposing solutions to us in case it’s a systemic issue and not just an issue with one or two employees
Organizing company outings/events
Handle loan requests and paperwork
Make minutes of weekly meeting
Handling resignations
Enforcing minimum notice periods
Handling terminations
Keeping up with documentation for all
SPOC for accountant
SPOC for co-working space
SPOC for employees
Role and Responsibilities:
As an HMI Developer, you will be responsible for the entire HMI development process, from requirement analysis to release and deployment. You should have a strong understanding of the automotive domain, particularly in the areas of infotainment and cluster systems. Your coding skills should be exceptional, with expertise in C++. Hands-on experience with HMI frameworks like EB Guide, QT QML, Kanzi Studio, Altia, or Unreal is necessary. Additionally, you should possess debugging skills with standard debugger, toolchains, and target hardware such as infotainment units, digital clusters, or HUDs. Knowledge of automotive domain and communication protocols like CAN, LIN, MOST, UART, and JTAG is a must. Familiarity with design principles and UX processes is beneficial. Proficiency in version control systems like Git, project management tools like Jira, requirements management tools like Doors, and UML is required. It would be advantageous to have experience with model-based design and knowledge of operating systems like QNX, Linux, and other real-time operating systems. Understanding embedded device and microcontroller workings would also be beneficial.
Candidate Qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field
- Minimum of 3 years of experience in HMI development
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
Required Skills:
- Overall HMI development process
- Automotive domain with Infotainment/Cluster
- Strong coding experience in C++
- Hands-on experience in HMI frameworks like EB Guide, QT QML, Kanzi Studio, Altia, Unreal, etc.
- Debugging skills with standard debugger and toolchains
- Knowledge of automotive domain and communication protocols (CAN, LIN, MOST, UART, JTAG)
- Knowledge of design principles and UX process (good to have)
- Working experience in Git, Jira, Doors, UML, etc.
- Model-based design experience (good to have)
- Knowledge of operating systems like QNX, Linux, and other RTOS (good to have)
- Knowledge of embedded devices and microcontroller workings (good to have)
Responsibilities:
- Build next-generation web applications which are efficient, reusable front-end abstractions and systems.
- Work closely with designers to implement versatile front-end solutions while embracing emerging standards and pushing the limits of what a browser can do.
- Actively participate in design and code reviews to build robust applications and prototypes.
Requirements:
- A deep expertise in Javascript.
- Looking for people with Mean STACK experience that includes: Node JS, Mongo DB, Angular JS, Bootstrap, Express, React JS.
- The above needs to be coupled with Javascript, HTML, CSS.
- Constantly and consistently implementing new features and optimise existing ones from controller- level to UI.
- Vigilantly and rapidly fix bugs.
- Continuously solving problems to give our customers a delightful shopping experience.
- Work closely with Team Lead, UX designers and back-end engineers to implement front end solutions.
- Endorsing upcoming standards, launching, iterating and making a difference.
- Passionate about implementing elegant User Interfaces using HTML and CSS.
- Ability to write well-abstracted, reusable, highly performant code for UI components.
As an Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve
predefined outcomes.
• Engage with clients to understand current and future business goals and translate business
problems into analytical frameworks
• Develop custom models based on an in-depth understanding of underlying data, data structures,
and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies
Qualification:
1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics,
statistics) or equivalent experience.
2. 5+ years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive
modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data
analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5. Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms
(Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information
extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills.
Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required
Location:Bangalore / Chennai
Type: Permanent
Company Type: AI / Digital Product Design Service based
Job Description
* Experience in C/C++ and have strong experience embedded application development and integration in Linux
* Good in creating unit tests, performing code reviews, optimizing performance and ensuring standards for maintainability
* Debugging, profiling, and performance optimization skills
* Have experience working in a fast paced Agile/Scrum environment- System integration experience using web services and other web-based technologies such as XML, HTML, AJAX, CSS, HTTP, REST/SOAP
- Experience with the development and implementation of ServiceNow CSM, ITSM modules or other ITSM applications.
- Experience with Business Rules, Script Includes, UI Actions, and Scheduled Jobs - all scripted aspects of the ServiceNow system
- Experience with ServiceNow client and server-side Javascript and the ServiceNow APIs
- Scripted Web-Services, AJAX, Business Rules, JavaScript, SOAP, REST SSO-SAML Setup and Integration of ServiceNow to Other Applications
- Customizing ServiceNow using UI Pages, UI Macro & CMS using CSS, HTML, and Jelly.
- Custom UI Changes with the usage of Web Technologies such as DOM, and HTML changes.
- Experience with extending the ServiceNow schema to custom applications
- Understands technical and functional design requirements related to ServiceNow.
- Create and manage scripts and workflow.
- Experience in one (or more) scripting languages: JavaScript, Python, Perl, Unix Shell, Windows Shell)
- Experience with relational databases (e.g. MySQL, Oracle)
Role : DevOps Engineer
Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)
Location : Bangalore. 5 Days Working.
Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes
Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions
As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.
Responsibilities:
- Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
- Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
- Delivering system management tooling to the engineering teams.
- Working on your own applications which will be used internally.
- Contributing to open source projects that we are using (or that we may start).
- Be an advocate for engineering best practices in and out of the company.
- Organizing tech talks and participating in meetups and representing Box8 at industry events.
- Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.
Requirements:
- 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
- Ruby On Rails or Python and Bash/Shell skills.
- Experience managing complex systems at scale.
- Experience with Docker, rkt or similar container engine.
- Experience with Kubernetes or similar clustering solutions.
- Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
- Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience in working on linux based servers.
- Managing large scale production grade infrastructure on AWS Cloud.
- Good Knowledge on scripting languages like ruby, python or bash.
- Experience in creating in deployment pipeline from scratch.
- Expertise in any of the CI tools, preferably Jenkins.
- Good knowledge of docker containers and its usage.
- Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.
Good to have:
- Knowledge of Ruby on Rails based applications and its deployment methodologies.
- Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
- Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.



