The Position

OPSWAT is now searching for a Software Engineering Intern to join our MDaaS product. MDaaS is a real-time malware scanning platform handling 30M+ requests/day, built on a Node.js/TypeScript microservices architecture with event streaming (Kafka, RabbitMQ) and React frontend.

As an Intern, you'll work directly with senior engineers — shipping real features, fixing real bugs, and learning how a production-grade cybersecurity platform is built and operated.

What You Will Be Doing

• Implement small features and bug fixes across backend services (Node.js/TypeScript) under guidance from senior engineers

• Write unit and integration tests to improve coverage on existing modules

• Participate in code reviews — both receiving feedback and reviewing peers

• Debug issues in local and staging environments using logs and tracing tools

• Read and understand event-driven flows (Kafka consumers, RabbitMQ handlers) to contribute to ingestion and processing pipelines

• Update and maintain internal documentation, API specs, and runbooks

• Join sprint planning, daily standups, and retrospectives as an active team member

• Experiment with frontend components in the internal tooling dashboard (React + TypeScript)

What You'll Learn

By the end of your time on MDaaS, you'll have hands-on exposure to:

• Production TypeScript microservices — structure, patterns, and testing

• Event-driven architecture with Kafka and RabbitMQ

• Docker and basic Kubernetes concepts (deployment, logs, exec)

• Code review culture and engineering standards in a global product company

• How a cybersecurity SaaS platform processes millions of file scan requests

What We Need From You

Education & Background

• Pursuing or completed a degree in Computer Science, Software Engineering, or equivalent

• Able to commit at least 4 months (internship) or full-time (associate)

Soft Skills

• Curious and proactive — asks questions, doesn't wait to be unblocked

• Communicates clearly in English (written); able to describe problems and solutions concisely

• Receptive to feedback and willing to iterate quickly

• Comfortable working in a team across different timezones

Technical Fundamentals

• Solid understanding of programming fundamentals: data structures, algorithms, OOP

• Hands-on experience with JavaScript or TypeScript — coursework or personal projects count

• Familiar with Git: branching, pull requests, resolving conflicts

• Basic understanding of REST APIs: HTTP methods, status codes, request/response structure

• Able to read and understand existing code in an unfamiliar codebase

• Actively uses AI coding tools (GitHub Copilot, Cursor, Claude, ChatGPT) as part of daily workflow — knows how to prompt effectively, verify output, and not blindly trust generated code

Dev Environment

• Comfortable working in a Linux/macOS terminal

• Knows how to run a project locally with Docker Compose

• Can use a debugger or structured logging to trace a bug

If Would Be Nice If You Had

• Prior internship or project experience with a Node.js or TypeScript backend

• Familiar with any testing framework (Jest, Vitest, Mocha)

• Basic React knowledge — able to build or modify a UI component

• Exposure to message queues (Kafka, RabbitMQ, Redis) — even conceptually

• Knows what a microservice is and why services communicate over events

• Experience with any cloud provider (AWS, GCP, Azure) — even free tier

• Interest in cybersecurity — malware analysis, threat intelligence, or security tooling

• Has read about or experimented with CI/CD pipelines

• Experience building features or scripts with AI assistance end-to-end — from prompt design to testing the result

• Understands limitations of LLM-generated code: hallucinations, outdated APIs, security blind spots

• Has experimented with AI APIs (OpenAI, Anthropic, Gemini) in side projects

• Familiar with concepts like RAG, embeddings, or function calling — even at a basic level

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

About the Role

The AI Integrations team builds the tools that bring AI into Telnyx's core products — think voice agents, intelligent messaging, and real-time AI features that improve our customer experience. We need a strong fullstack engineer to help us move faster.

This is a mid-level IC role. You'll own features end-to-end: building React interfaces, writing Node.js services, wiring up databases, and shipping things that work. AI experience isn't required — you'll pick that up here. What matters is that you can build solid fullstack products and want to learn.

What You'll Work On

• Fullstack features across our AI product suite — frontend to database
• Integrating LLMs and AI capabilities into real world applications (with support from the team)
• Building interfaces that make complex AI tools feel simple
• Shipping iteratively — we value working software over perfect plans

Tech Stack

Core (you should know this well):
React 18+, TypeScript, Tailwind CSS, Node.js, PostgreSQL, Prisma, TanStack Query, Docker, Kubernetes

Bonus (nice to have, happy to teach):
Next.js 15+, LLM integration, LangChain/LangGraph RAG/Embeddings, Vector Databases, MCP, WebSockets, WebRTC, Radix UI, Shadcn UI, Framer Motion

What We're Looking For

You're genuinely comfortable across the stack — not a frontend dev who can "do backend" or vice versa. You've built and shipped real features. You take ownership, communicate clearly, and don't need hand-holding.

AI interest is a plus, but we'd rather have a strong fullstack engineer who's curious than an "AI enthusiast" who can't ship.

We move fast on modern web tooling (React/Next, TypeScript, Tailwind). Expect frequent upgrades.

Values

• Ownership — you see things through
• Collaboration — you work well with others and communicate proactively
• Adaptability — comfortable with ambiguity and changing requirements
• Growth mindset — eager to learn, takes feedback well


#LI-KG1 #LI-VIETNAM
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems
  
  
  

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

The Position

OPSWAT is committed to harnessing the power of AI to drive meaningful advancements across all areas of our business. We are currently seeking a highly skilled AI Engineer (Middle Level) to lead and support the development of AI-driven projects, with a key focus on integrating our in-house AI Insights go-to-market platform with various enterprise systems.

In this role, you will work closely with the Digital Transformation Team, Customer Experience (CX) Team, and the Enterprise & Data Team to integrate AI capabilities across CRM and other critical business platforms. This is a unique opportunity to be at the forefront of AI innovation within a global cybersecurity company, delivering impactful solutions that improve efficiency, intelligence, and customer outcomes.

What You Will Do

• Development of AI Insights - Go-To-Market Platform:
  • Design, build, and evolve AI Insights, OPSWAT’s in-house, AI-powered go-to-market platform built on CRM and enterprise data.
  • Architect and implement multi-agent AI systems that analyze GTM data to:
    • Identify customer buying intent, readiness, and deal momentum
    • Prioritize customer accounts and opportunities with clear, explainable reasoning
    • Detect pipeline risk, slippage, and growth opportunities across sales and marketing
  • Develop and maintain data pipeline to transform raw CRM data into decision-ready signals, metrics and insights used by AI agents.
• Development of Chatbot Platform:
  • Design, build and maintain OPSWAT AI Assistant - our chatbot framework to build chatbot systems.
  • Continuously improve Agentic RAG, MCP services and data pipeline for enterprise data systems.
  • Fine-tune a custom LLM model with deep understanding of OPSWAT products and cybersecurity world.
  • Fine-tune SLM model for intention classification, agentic tool calling, etc.
• Research & Propose Innovative Solutions: exploring and implementing novel AI techniques and automation solutions.

What We Need From You

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in software engineering, with a focus on Generative AI, LLM, Machine Learning and web app development.
• Experience in multi-agent orchestration framework (e.g. LangGraph, AutoGen, Agent Framework, ...).
• Experience in RAG architectures and Vector databases (e.g. Azure AI Search, Pgvector, Weaviate, ...).
• Experience in fine-tuning or instruction-tuning LLMs.
• Solid understanding of software development methodologies (Agile, Scrum, etc.).
• Good communication, collaboration, and interpersonal skills.
• Strong problem-solving and analytical skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Proficiency in one or more of the following programming languages: Python, React, Typescript.

It Would Be Nice if You Have

• Certifications in AWS and Azure architecture.
• Experience in backend-end development.
• Experience in CI/CD pipelines and cloud production deployment (Azure, AWS or GCP).

About the Role

The CTO Intelligence Hub is OPSWAT’s internal AI-powered data platform; dashboards and APIs that give leadership real-time visibility into AI adoption, financial performance, customer health, and sales. The platform runs on a fleet of Flask, FastAPI, and Streamlit applications backed by a Fabric → Parquet → S3 data pipeline, all tied together by an agentic coding system where GitHub Issues become production pull requests in under three minutes.

As AI Platform Architect, you own the application layer. You design and build new intelligence products, evolve existing dashboards, and work with the AI coding pipeline — writing the specs, reviewing the plans, and guiding the implementation. You are the “human senior engineer” in a team where your main coding collaborator is Claude.

What You Will Own

• Application architecture: Flask APIs, FastAPI microservices, Streamlit dashboards; schema and data-flow design across 12+ applications
• Agentic coding pipeline: creating well-scoped GitHub Issues, reviewing AI-generated implementation plans, approving or refining, merging PRs; the pipeline (claude-coder) takes issues from triage to production PR in ~3 minutes for routine work
• Data pipeline & analytics: extending the Fabric → Parquet → S3 pipeline; designing new analytics (percentile ranking, quadrant analysis, trend computation); HR enrichment and data quality
• Test-driven development: writing pytest spec suites that the AI implementer must satisfy; test files are the spec and cannot be modified by the AI
• Claude API / CLI integration: building features that call Claude for inference (content generation, analysis, RFP answering); working with OAuth-based CLI inference and direct API patterns
• UX & visualisation: Plotly dashboards, Jinja2 templates, React/Vite prototypes; maintaining the OPSWAT brand system across all apps
• Architecture documentation: keeping Confluence up to date as the system evolves; writing CLAUDE.md context files that teach the AI pipeline how each repo works
• New product design: identifying gaps in current intelligence coverage and proposing, scoping, and shipping new internal tools

You Will Be a Strong Fit If You Have

• 3–7 years of Python backend development (Flask, FastAPI, or equivalent)
• Strong data skills: pandas, SQL, Parquet, data modelling; you are comfortable designing a metrics pipeline from raw HR and usage data to ranked leader-board
• Experience working with LLM APIs (OpenAI, Anthropic, or equivalent) in production
• A test-first mindset: you write tests before code and believe the test suite is the specification
• Clear written communication because your primary “pairing partner” reads GitHub Issues, your ability to write precise, unambiguous requirements directly determines output quality
• Comfort reading and reviewing AI-generated code critically; you know when to approve, when to push back, and when to take the keyboard yourself
• Experience with REST API design and documentation

Nice to Have

• Streamlit or Plotly dashboard development
• React / TypeScript (for UX prototypes)
• Microsoft Fabric, Azure Data Warehouse, or similar cloud data platforms
• Familiarity with GitHub Actions and CI/CD pipeline design
• Experience building multi-language document processing (the RFP automation covers 14 languages)
• Prompt engineering and system-prompt design for agentic workflows
• OPSWAT product knowledge (MetaDefender, OESIS, CDR - not required but helpful)

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Work Location: This role is based out of our Ho Chi Minh City office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Medical, Dental and Vision Insurance
• Robust Paid Time Off policy
• Bonuses
• Lunch allowance
• Cell phone stipend
• Free LinkedIn Learning account or Udemy account
• Access to 24/7 online emotional and mental support
• Gym membership
• Free parking
• Stocked fridges and pantries - free coffee, cold beverages, snacks
• Annual Company Outing Trip
• Monthly team social activities

The Job in short

Where Innovation Meets Excellence! We're transforming the banking industry with cutting-edge technology and unparalleled customer experiences. Be part of a dynamic team that's redefining the future of digital banking. Together, we'll create groundbreaking solutions and achieve incredible success. Your journey to making a real impact starts here!"
Backbase created the Backbase Engagement Banking Platform – a unified platform with the customer at the center, helping banks orchestrate seamless journeys across every stage of the customer lifecycle.
                        
From customer onboarding, to customer servicing, customer loyalty and loan origination, we help financial institutions surpass customers’ expectations in every phase of the customer lifecycle.
                        
Built from the ground up with the customer at the heart, our Engagement Banking Platform easily plugs into existing core banking systems and comes pre-integrated with the latest fintechs so financial institutions can innovate at scale.
                        
Industry analysts Forrester, Gartner, Celent, Omdia and IDC continuously recognize Backbase’s category leadership position.

Meet the job

Do you thrive in high-pressure environments and crave a role that pushes the boundaries of technology in Banking? Are you an AI whiz who can adapt and solve problems on the fly? If so, then we want YOU!

We are forming an elite initial team of Navy Seal AI Engineers to spearhead the integration of cutting-edge artificial intelligence into our Banking solutions. This pioneering role demands exceptional technical skills coupled with the unwavering mental and physical fortitude of a Navy Seal.

Responsibilities:
Design, develop, and deploy AI solutions for real-world banking challenges
● Stay abreast of the latest advancements in AI, particularly Large Language Models (LLMs) like LaMDA, Jurassic-1 Jumbo, and emerging technologies like LangChain and HuggingFace transformers;
● Effectively utilize various LLM platforms like HuggingFace, ollama to tailor AI solutions to specific mission needs;
● Collaborate with other members and customers  to understand operational requirements and translate them into actionable AI applications;
● Troubleshoot and maintain deployed AI systems (LLMOps, MLOps, etc), ensuring optimal performance in austere environments;
● Document and share knowledge effectively to train future AI engineers within the team;
● Maintain the highest level of physical fitness and mental preparedness to seamlessly integrate with the SEAL team during operations.

How about You?

● Proficiency in programming languages like Python, Java, or C++;
● In-depth understanding of machine learning algorithms and deep learning architectures;
● Experience with cloud computing platforms (e.g., AWS, Azure, GCP);
● Exceptional problem-solving skills and the ability to think critically under pressure;
● Excellent communication and collaboration skills to work effectively within a team.