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Requirements:
Ph.D. or a strong Masters degree (or equivalent industry experience) in computer science or a related discipline.
Proven research abilities and a history of innovative work.
Solid software development experience, spanning engineering practices and algorithmic thinking.
Strong Python proficiency and comfort with modern programming languages.
Familiarity with agile development workflows.
Background in graph theory, code analysis, LLVM infrastructure, or SAT solvers is a plus.
Sharp analytical skills and an aptitude for solving complex problems.
Clear and effective written and verbal communication.
Able to thrive both independently and within a collaborative team.

Requirements:
4+ years of experience as a Node.js (TypeScript) backend developer.
1+ years as an AI Engineer
Experience integrating LLM pipelines and external APIs.
Strong understanding of system design, performance tuning, and reliability engineering.
Strong expertise in distributed systems, microservices, event-driven architectures, and scalable APIs.
Experience deploying and monitoring systems in production environments.
Experience with using LangGraph / LangChain or similar frameworks.
Python and MongoDB are an advantage.

Requirements:
BSc/MSc in Computer Science or a related field, or equivalent experience.
10+ years of software engineering experience, including low-level/system software, with 4+ years leading or tech-leading high-performance teams or major technical projects.
Strong proficiency in C++ is a must; experience with C or Python is optional but advantageous.
Proven ability to drive software projects from research and design to implementation and production at scale.
Background in embedded development and familiarity with OS interactions (drivers, memory/device interfaces, etc.).
Knowledge of computer architecture and hardware-software interfaces.
Experience working on large, complex codebases that demanded high reliability and performance.
Exceptional communication and leadership skills, capable of mentoring, influencing, and resolving conflicts effectively.
Demonstrated ownership, accountability, and the ability to thrive in high-pressure environments.
Passion for building high-quality, performance-critical system software and pushing technical boundaries.

Requirements:
5+ years of hands-on software development experience.
3+ years in high-scale SaaS product companies.
3+ years of proven experience working with Node.js, React, and TypeScript in production.
Experience working within user-facing product teams in cloud-native architectures.
Proven track record delivering full stack features, as feature leads end-to-end in production environments, from idea to user value.
Solid understanding of microservices architecture, REST/GraphQL APIs, and cloud infrastructure (AWS experience is a plus).
Experience with CI/CD workflows, Agile teams, and writing clean, maintainable, and testable code.
(Nice to have) Experience working in rapid-growth startups or squad-based structures.

Requirements:
5+ years of experience in AI/ML engineering, performance optimization, or ML systems.
Deep understanding of LLM architectures, training & inference mechanics, and modern ML frameworks.
Strong proficiency in PyTorch ecosystem, with a specific focus on performance tuning via Triton, Cuda or MLIR-based compiler frameworks.
Hands-on expertise profiling and optimizing kernels (GEMM, attention, softmax, token pipelines).
Demonstrated experience running or tuning MLPerf or similar large-scale benchmarks.
Strong Python and C++ development skills.
Proven leadership experience: mentoring, guiding, or managing engineers.

Requirements:
MSc/BSc in Computer Science or other equivalent educational experience.
3-5 years of advanced C++ experience, with excellent coding skills.
Deep understanding of the internals of operating systems, IPC, and multi-threaded programming
Familiarity with device and memory management in operating systems
Experience in Linux kernel development
Ability to work in a multi-task and dynamic environment
Excellent communication and teamwork skills
Strong problem-solving skills and the ability to analyze and debug complex issues.
Advantage - Familiarity with and passion for any of the following - machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture.

Requirements:
8+ years of hands-on software development experience
5+ years in cloud-native SaaS full-stack teams.
Experience leading projects spanning multiple systems or teams.
Mastery of JavaScript/TypeScript and modern frameworks (Node.js, Next.js).
Strong experience with microservices, API design (REST/GraphQL), data modeling, and event-driven systems.
Solid understanding of system design, distributed architectures, and performance tuning.
Deep knowledge of CI/CD pipelines, Infrastructure-as-Code, cloud platforms (AWS/GCP/Azure).
Bachelors degree in Computer Science (or equivalent) - preferred.
3+ years of proven success as a Tech Lead or Staff Engineer - Advantage

Requirements:
5+ Years of experience developing backend systems and/or services, in Python or Rust, with a strong preference to distributed systems and database-backed applications and services
Familiarity with cloud deployment schemes, especially with Kubernetes (AWS/EKS background a plus)
Familiarity with front-end tools and techniques - Advantage

Requirements:
5+ years of hands-on experience in MLOps, with a focus on Python-based ML workflows
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Solid understanding of data engineering principles, model serving, and monitoring
Familiarity with cloud-based AI/ML solutions, especially AWS - a strong advantage
Familiarity with Rust - an advantage.
Strong interpersonal skills
Technologically versatile, quick learning
Strong drive to build robust, sustainable solution

Requirements:
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field.
5+ Years of experience of ML research/Deep Learning etc.
Experience with software engineering in Python (must) , C++/Rust is a plus.
Strong statistical analysis and mathematical skill.
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined.

Requirements:
8+ years of professional software engineering experience, with proven ability to design, implement, and deliver complex distributed systems in production.
Strong problem-solving, debugging, and system-design skills, with a focus on scalability and maintainability.
Validated experience in backend or full-stack development using one or more of the following languages: Java, TypeScript/Node.js, Go, or Python.
Proven understanding of distributed systems, microservices architecture, and RESTful or GraphQL APIs.
Hands-on experience with cloud-native development on AWS, including containerized workloads running on EKS (Kubernetes).
Proficiency with databases - relational (e.g., PostgreSQL) or NoSQL (e.g., MongoDB, Redis, OpenSearch) - and familiarity with data-driven application design.
Deep understanding of authentication, authorization, and modern identity and access management concepts.
Familiarity with streaming and messaging systems, such as Apache Kafka.
Preferred Qualifications
Experience building or integrating with multiple identity providers (e.g., Okta, Azure AD, Ping) and designing identity fabric or zero-trust architectures
Exposure to AI-driven platforms, leveraging AI/ML for developer productivity, anomaly detection, or access intelligence.
Knowledge of Infrastructure as Code (IaC) tools such as Helm and Terraform, and familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
Background in security-focused design, including secrets managemet, policy-as-code, and compliance automation.
Experience contributing to platform engineering or developer-enablement initiatives in large-scale environments.
Passion for innovation, continuous improvement, and building tools that make developers lives easier.

Requirements:
A PhD in computer science or related fields with 5 years of industry or academic experience in artificial intelligence, OR Masters with 7 years of related industry experience OR Bachelors with 10 years of related industry experience.
Strong programming skills in generic programming languages such as Python.
Experience in one or more of the following areas:
Designing and building scalable, reliable, and secure backend infrastructure (e.g., distributed systems, cloud services, data pipelines, APIs) for large-scale applications.
A strong background in AI, machine learning, and deep learning technologies, with a solid understanding of core ML concepts such as bias and variance, supervised and unsupervised learning, and Generative AI.
Developing, training, fine-tuning, or evaluating AI/ML models, algorithms, or platforms (including deep learning, reinforcement learning, generative models, etc.).
Preferred Qualifications:
Comfortable with fast, iterative development cycles in an environment that requires autonomous thinking, risk taking and bias for action.
Ability to use the latest GenAI technologies and methodologies for software development workflows.
Familiarity with ML frameworks like PyTorch.
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Fluency in reading academic papers on AI/ML and security and the ability to translate their ideas into prototype or production systems.

Requirements:
5+ years of professional software engineering experience, with proven ability to design, implement, and deliver complex distributed systems in production.
Strong problem-solving, debugging, and system-design skills, with a focus on scalability and maintainability.
Proven experience in backend or full-stack development using one or more of the following languages: Java, TypeScript/Node.js, Go, or Python.
Solid understanding of distributed systems, microservices architecture, and RESTful or GraphQL APIs.
Hands-on experience with cloud-native development on AWS, including containerized workloads running on Kubernetes (EKS).
Proficiency with databases - relational (e.g., PostgreSQL) or NoSQL (e.g., MongoDB, Redis, OpenSearch) - and familiarity with data-driven application design
Experience using GitHub and GitHub Actions for version control, CI/CD, and collaborative development.
Understanding of authentication, authorization, and modern identity and access management concepts.
Familiarity with streaming and messaging systems, such as Apache Kafka.
Preferred Qualifications:
Experience building or integrating with multiple identity providers (e.g., Okta, Azure AD, Ping) and designing identity fabric or zero-trust architectures.
Exposure to AI-driven platforms, leveraging AI/ML for developer productivity, anomaly detection, or access intelligence.
Knowledge of Infrastructure as Code (IaC) tools such as Helm and Terraform, and familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
Background in security-focused design, including secrets management, policy-as-code, and compliance automation.
Experience contributing to platform engineering or developer-enablement initiatives in large-scale environments.
Passion for innovation, continuous improvement, and building tools that make developers lives easier.

Requirements:
5+ years of professional experience in software engineering, data engineering, or product ownership roles.
Strong development experience with Python or Golang (both - advantage).
Demonstrated ability to translate business requirements into technical roadmaps and deliverables.
Experience working in Agile/Scrum environments and managing product backlogs.
Experience with orchestration and containerization (Kubernetes, Docker).
Familiarity with Linux and cloud infrastructure (especially AWS).
Preferred Qualifications:
Bachelors or masters degree in computer science, Engineering, or related field.
Familiarity with data warehousing and modern data stack technologies.
Proven hands-on experience with Apache Airflow, and Apache Spark.
Knowledge of message queues and real-time systems (RabbitMQ, Redis, Kinesis).
Knowledge of DevOps and CI/CD tools.
Strong stakeholder management and communication skills.
Ability to balance technical depth with strategic vision.

Requirements:
B.Sc. in Computer Science, Software Engineering, or a related field, with 6+ years of related experience
Proven experience building and deploying production-grade backend systems
Proficiency in backend technologies such as Python, NodeJS, and cloud-native tools (AWS, Docker, Kubernetes)
Deep understanding of distributed systems, microservice design, and API architecture
Preferred Qualifications:
Experience leading design discussions and delivering end-to-end features
Hands-on experience with performance tuning and large-scale systems
Familiarity with observability and monitoring practices
Experience collaborating with product and business stakeholders to define technical priorities and translate product needs into engineering tasks
Strong communication and mentorship skills
Team player with high sense of ownership and accountability