Benefits:

• Diversity and inclusion values

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Engineering

Experience Requirements:

• 3+ years experience

• 4+ years proven data analysis experience

• Knowledge of data warehousing

• SQL and Python proficiency

• ELT/ETL tool experience

Other Requirements:

• US citizenship/visa not required

• BigQuery skills

• SQL skills

Responsibilities:

• Maintain scalable data pipelines

• Collaborate with platforms teams

• Implement data governance

• Manage data warehouse

• Develop dashboards

Experience Requirements:

• 6+ years of experience in IT administration or IT operations

• Prior experience as an IT Manager or Senior IT Administrator

• Experience supporting 50–300 employee environments

Other Requirements:

• Google Workspace

• SaaS administration and access management

• Endpoint management / MDM tools

• Office networking and on-site support

Responsibilities:

• Own day-to-day IT operations for the Bangalore office

• Handle employee onboarding and offboarding

• Administer internal SaaS tools

• Own identity and access management

• Act as the primary on-site IT support and escalation point

Education Requirements:

• Bachelor's or higher degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• Proven experience as a DevOps or SRE Engineer

• Strong proficiency in scripting languages (e.g. Python, Bash)

• Experience with cloud platforms (AWS, Azure, GCP)

• Hands-on experience with infrastructure as code (IaC) tools like Terraform

Other Requirements:

• Familiarity with cloud-native technologies (Docker, Kubernetes)

• Experience managing multi-architecture deployments

• Entrepreneurial & start-up mindset

Responsibilities:

• Design, implement, and maintain CI/CD pipelines

• Develop and manage infrastructure as code (IaC) using Terraform

• Implement and manage containerization and orchestration tools

• Monitor and optimize system performance

• Collaborate with security teams to ensure infrastructure meets security best practices

Benefits:

• A competitive salary and benefits package

• Opportunity to collaborate with leading experts in AI

• Environment that values innovation and collaboration

• Support for personal and professional development

• Pivotal role in the AI revolution

Experience Requirements:

• 8+ years of experience in systems/software engineering

• Experience in delivering PaaS services

• Proven experience optimizing and scaling deep learning runtimes

• Strong programming skills in Python and C++

• Start up previous experience

Other Requirements:

• Familiarity with distributed training frameworks

• Experience working with multi-GPU, multi-node, or cloud-native AI workloads

• Solid understanding of containerized workloads

Responsibilities:

• Own the core runtime architecture supporting AI training and inference at scale

• Design resilient and elastic runtime features within a custom PyTorch stack

• Profile and enhance low-level system performance

• Design and maintain libraries and services that support model lifecycle

• Guide technical discussions and mentor junior engineers

Experience Requirements:

• 8–12+ years of backend or infrastructure engineering experience

• Expert-level proficiency in Golang

• Strong experience building production-grade distributed systems

• Proven track record working on infrastructure platforms, PaaS, or deep-tech systems

Other Requirements:

• Deep understanding of cloud-native architectures

• Strong experience with Kubernetes, Docker, and cluster orchestration systems

• Experience with scalable distributed databases

• Startup-minded builder comfortable with ambiguity

Responsibilities:

• Architect and develop high-performance backend services in Golang

• Design backend systems for distributed AI workloads and orchestration

• Build internal platform APIs for model deployment and job scheduling

• Design and scale microservices and event-driven architectures

• Lead architecture reviews and set backend engineering standards

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 8+ years of experience in DevOps, SRE, or Infrastructure Engineering

• At least 2+ years in a Staff/Lead-level capacity

• Proven experience designing and operating large-scale cloud-native distributed systems

• Deep expertise in Kubernetes, Docker, and container orchestration

Other Requirements:

• Strong hands-on experience with Terraform

• Advanced knowledge of CI/CD systems

• Strong proficiency in scripting and programming (Python, Go, Bash)

• Extensive experience with cloud platforms (AWS, GCP, Azure)

Responsibilities:

• Architect and evolve the infrastructure backbone for PaaS and AI runtime platforms

• Design highly available, fault-tolerant, and scalable systems

• Establish and own SRE principles including SLIs, SLOs, and error budgets

• Lead the design and implementation of Infrastructure as Code

• Design and implement end-to-end observability for distributed systems

Experience Requirements:

• Strong hands-on development experience with React + Python

• Experience with fastapi, pydantic, sqlmodel, and async backend development

• Deep understanding of vite, bun, and frontend build/performance optimization

• Ability to manage frontend async workflows using react-query

Other Requirements:

• Strong API design skills

• Experience building modular services and UI-driven systems

• Ability to operate independently in a high-speed environment

Responsibilities:

• Build full-stack features across Squirrel, Marketplace, and Licensing

• Develop frontend modules using React and modern tooling

• Implement backend logic, APIs, and data models using Python

• Design clean API contracts between frontend and backend components

• Build robust data flows across multi-architecture compute workflows

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• 10+ years in Linux systems engineering

• Proven ownership of bare-metal server bring-up and large-scale fleet provisioning

• Extensive experience enabling multi-GPU training over RoCEv2 or InfiniBand

• Strong track record building reproducible OS images and automation pipelines

Other Requirements:

• Deep kernel and userspace debugging skills

• Proficiency in UEFI/BIOS, GRUB, SecureBoot, and PXE

• Knowledge of NVIDIA CUDA, NCCL, and GPUDirect RDMA stacks

• High ownership mindset

Responsibilities:

• Architect and lead end-to-end bring-up of AI/HPC server platforms

• Define standards for UEFI/BIOS, GRUB, and PXE/iPXE provisioning

• Architect, build, and harden custom Linux images optimized for AI

• Lead kernel tuning and performance-sensitive workload optimization

• Lead validation of PCIe topologies and advanced features

Benefits:

• A competitive salary and benefits package

• Opportunity to collaborate with leading experts in AI

• Environment that values innovation and collaboration

• Support for personal and professional development

• Pivotal role in the AI revolution

Experience Requirements:

• 8+ years backend engineering

• 3+ years API design/architecture ownership

• Hands-on coding in Go/Java/Python

• Track record of designing APIs used by multiple teams or customers

Other Requirements:

• Strong in RESTful design

• Knowledge of GraphQL/gRPC is a plus

• Deep knowledge of API security (OAuth2, JWT)

• Experience with API gateways and CI/CD

Responsibilities:

• Own the end-to-end API strategy: design, standards, governance, versioning

• Define and maintain stable, customer-facing APIs

• Build internal APIs connecting modules for parallel development

• Establish best practices including API style guides and OpenAPI specs

• Mentor engineers and review designs

Experience Requirements:

• 4+ years experience in office administration, HR operations, or a combined role

• Prior experience supporting a tech or startup environment

• Strong knowledge of India HR operations, payroll coordination, and statutory compliance

Other Requirements:

• Highly organized and detail-oriented

• Comfortable handling confidential employee information

• Excellent communication and interpersonal skills

• Enjoys being on-site

Responsibilities:

• Manage day-to-day operations of the Bangalore office

• Coordinate office vendors and manage office budgets

• Support end-to-end employee lifecycle for the India team

• Ensure compliance with India labor laws and company policies

• Work with global HR teams to implement policies locally

Benefits:

• stock options

Education Requirements:

• BA/BS or equivalent working experience

• Bachelor’s degree in English, Journalism, Public Relations or related communications field

• MBA in marketing a plus

Experience Requirements:

• 3-5 years of experience as a high potential specialist in multichannel content creation

• Experience with creating compelling messages for different target demographics

• Experience creating content for the web and growing a social audience

Other Requirements:

• Experience with WordPress, Google analytics, Slideshare, and the top social channels

• Project management skills

• Expertise in Adobe Creative Suite, Microsoft Office

Responsibilities:

• Accountable for all content marketing initiatives to drive traffic, engagement, leads

• Collaborates across functions to deliver content marketing strategy

• Editorial requirements include understanding customer segmentation and specific needs

• Channel management of digital content hubs and supporting social channels

• Measurement and optimization of the program

Benefits:

• Work-from-home arrangement

• Staff Education Subsidies

• Employee computer purchase sponsorship program

• Comprehensive Training & Conference attendance

• Gym and Club House facilities

Education Requirements:

• Higher Diploma or Degree holder in Computer Science, Telecommunications, Information System or related disciplines

Experience Requirements:

• Hands-on experience in native Android/iOS or JavaScript, C#, RESTful APIs

• Experienced in cloud solution, DevOps, agile development

• 1 year or above relevant experience would be preferred

• Experienced in Healthcare related system (e.g. CMS, HIS) would be advantage

• Fresh graduate will also be considered as Trainee with training

Other Requirements:

• Proficiency in .Net/Java and SQL

• Proficiency in JavaScript or NodeJS would be advantage

• You are a team player, detailed oriented, self-motivated and good in time management

• Interest and passion in new technology

Responsibilities:

• Develop and maintain system, enhance cloud-based applications, Restful APIs, SDK

• Research and Develop with new technology, e.g. serverless, blockchain, AI

• Work with a team of developers to design and develop high quality Android or iOS applications

Education Requirements:

• Degree in Computer Science, Engineering, Data Science, or related field preferred

Experience Requirements:

• 12–14 years of product management experience

• Experience in SaaS, compliance, fintech, or enterprise software preferred

• Proven success managing products from discovery to launch in an agile environment

Other Requirements:

• Ability to translate regulatory/legal complexity into technical product requirements

• Strong communication and stakeholder management skills across technical and non-technical audiences

• Builder’s mindset – comfortable with ambiguity, eager to bring structure, and focused on outcomes

• Collaborative problem-solver who thrives at the intersection of technology and customer need

Responsibilities:

• Partner with the Head of Product to refine and execute the product roadmap

• Translate customer feedback and business needs into technical product requirements

• Prioritize features and enhancements based on business value, customer impact, and technical feasibility

• Act as a bridge between customers, internal SMEs, and development teams

• Partner with engineering to deliver scalable, cloud-native, multi-tenant data solutions

Education Requirements:

• UG: Any Graduate

• PG: Any Postgraduate

Experience Requirements:

• 4-6 years professional experience in Account Management

Other Requirements:

• Familiarity with the banking and financial services industry

• Proficient in Excel, MS Word, and PowerPoint

• Excellent verbal and written English communication skills

Responsibilities:

• Build, manage, and expand strategic accounts within your portfolio

• Develop long-term relationships with clients by mapping organizational hierarchies

• Identify and close new sales opportunities

• Develop and nurture relationships with key decision-makers (CXOs, BU Heads, Product Heads)

• Collaborate with front-end teams and business support functions for training programs

Education Requirements:

• Any Graduate / Postgraduate

Experience Requirements:

• 3–7 years in Customer Success, Account Management, or Solution Consulting

• Experience handling enterprise BFSI/fintech clients (preferred)

Other Requirements:

• Strong knowledge of SaaS, API-led solutions, digital KYC, fraud tech

• Hands-on experience with API testing tools (Postman, REST Assured)

• Understanding of REST APIs and SOAP services

• Familiarity with BI tools and data-driven analysis

Responsibilities:

• Drive client adoption of Digitap’s SaaS products and ensure smooth onboarding

• Educate and onboard clients, conduct POCs, and ensure smooth implementation

• Act as the primary point of contact for queries, escalations, and integrations

• Identify upsell/cross-sell opportunities across KYC, AML, Fraud, and Risk APIs

• Monitor client KPIs and product usage to recommend improvements

Education Requirements:

• MBA required, preferably from Tier I institute

Experience Requirements:

• 4-6 years’ direct selling experience in Technology Products/ Services / Solutions

• 2+ years SaaS experience preferred

Other Requirements:

• Experience and comfort in working with Finance and Fintech industry customers

• Ability to Manage conversation at CXO level

• Excellent selling, communication, and negotiation skills

Responsibilities:

• Open new accounts and sustain strategic customer relationships

• Deliver on tactical sales plans and set up meetings/demos

• Make Digitap.ai a top recall in the Fintech/NBFC/BFSI fabric

• Carry and hit sales targets

• Act as a bridge between customers and the product team for feedback

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor's or Master's in Computer Science or related fields

Experience Requirements:

• A minimum of 8+ years of experience using Rhino and Grasshopper

• Experience in AEC Industries

• Python expertise

• C# expertise, particularly with RhinoCommon

• Familiarity with the Grasshopper SDK

Other Requirements:

• A portfolio showcasing contributions to the physical world through computational design

• Experience with Visual Studio Code or similar development environments

Responsibilities:

• Collaborate with teammates to build modular, scalable solutions

• Develop custom API solutions for interoperability between multiple software platforms

• Create custom nodes in Python and C#

• Handle client data that may be sensitive or confidential with utmost care

• Collaborate directly with leaders of the computational design and engineering teams

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite (US)

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Expertise in semantic search and embedding models

• Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems

• Advanced model fine-tuning techniques

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models

• Develop and optimize cloud-native architectures (AWS, Kubernetes)

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary, equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 8+ years of experience in developing and implementing machine learning algorithms

• Advanced proficiency in Python (Scikit-learn, TensorFlow, PyTorch)

• Experience with advanced text mining methods

• Experience with Natural Language Processing (NLP)

• Experience with Large Language Models (LLMs) like GPT-3

Other Requirements:

• Practical experience with cloud services (AWS, Azure, GCP)

• Expertise in deep learning for NLP with Transformers

• Proficiency in ML experimentation and A/B testing

Responsibilities:

• Spearhead the creation and finetuning of sophisticated machine learning models

• Contribute to the seamless integration of Large Language Models

• Employ machine learning techniques to analyze vast datasets

• Implement algorithms to effectively cluster vast quantities of code