Daman

About the Company

For more than 25 years, Daman has been helping clients maximize the value of their data with a full spectrum of data management solutions. From modern data engineering to hybrid-analytics that leverage machine learning and AI, we deliver high-performance, enterprise-scale solutions for hyper-competitive advantage. Our clients are innovating every day to solve the world's biggest challenges. From healthcare and transportation to finance and manufacturing, they hire us to help unlock maximum value from their information assets. Daman is committed to excellence. Employees find an environment that supports creativity and fosters innovation, a culture that is collaborative and diverse, and leadership that is generous in support and spirit.

Listed Jobs

Company Name

Daman

Job Title

Artificial Intelligence Engineer

Job Description

Job Title: Artificial Intelligence Engineer Role Summary: Design, develop, and deploy production‑grade AI and generative models on AWS, collaborating with data science and engineering teams to deliver secure, scalable solutions. Expactations: Lead full‑stack ML engineering from data ingestion through deployment, ensuring high performance, cost efficiency, and compliance with AWS security best practices. Key Responsibilities - Design, build, and deploy ML and generative AI models using AWS SageMaker and Amazon Bedrock. - Develop end‑to‑end pipelines: data ingestion, training, hyper‑parameter tuning, model versioning, and monitoring. - Implement inference endpoints (real‑time and batch) via SageMaker, optimizing latency and throughput. - Integrate AI services with backend APIs and microservices, documenting interfaces for developers. - Apply MLOps practices: CI/CD, automated retraining, performance monitoring, and alerting. - Ensure security and governance: IAM policies, encryption, VPC, logging, and audit trails. - Translate business requirements into AI use cases and technical specifications. - Stay current with AWS AI/ML offerings, Bedrock model updates, and generative AI best practices. Required Skills - 5+ years in AI/ML engineering or applied machine learning. - Deep expertise with AWS SageMaker (training jobs, endpoints, pipelines) and Amazon Bedrock (Claude, Titan, Llama, etc.). - Proficiency in Python; experience with PyTorch, TensorFlow, scikit‑learn. - Knowledge of LLMs, prompt engineering, embeddings, and Retrieval‑Augmented Generation (RAG). - Strong grasp of ML algorithms, deep learning, and NLP. - Familiarity with AWS services: S3, Lambda, API Gateway, EC2, ECR, CloudWatch. - Experience with containerization (Docker) and orchestration (Kubernetes). - Understanding of MLOps tooling and version control workflows. Required Education & Certifications - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Austin, United states

Hybrid

Mid level

31-12-2025

Company Name

Daman

Job Title

ServiceNow Engineer

Job Description

Job Title: ServiceNow Engineer (HAM Specialist) Role Summary: Provide advanced ServiceNow platform expertise focused on Hardware Asset Management (HAM). Lead configuration, optimization, and integration of the HAM module, develop custom applications, support Tier‑3 issues, and maintain technical documentation in an Agile team. Deliver results within the first two weeks of onboarding. Expactations: * Rapidly assimilate current project workflow and architecture. * Demonstrate measurable improvements in HAM performance and usage. * Provide timely Tier‑3 support and incident resolution. * Maintain clear, up‑to‑date technical and user documentation. Key Responsibilities: * Configure, implement, and optimize ServiceNow HAM module. * Design, develop, and maintain ServiceNow applications (UI Policies, Business Rules, Client Scripts, Workflows). * Develop and manage integrations between ServiceNow and external systems (discovery tools, procurement, finance). * Collaborate with stakeholders, PMs, and engineers in an Agile environment to deliver high‑quality solutions. * Provide Tier‑3 support for complex platform issues related to Asset Management and core ITSM. * Document design specifications, test plans, and end‑user guides. Required Skills: * 3+ years of ServiceNow engineering/development experience. * Proficiency in ServiceNow ITSM (Incident, Change, Problem, Knowledge) and CMDB. * Strong JavaScript, HTML, CSS within the ServiceNow framework. * Experience with HAM module configuration and optimization. * Ability to develop integrations with external enterprise systems. * Excellent troubleshooting, analytical, and documentation skills. * Comfortable working in an Agile, cross‑functional team. Required Education & Certifications: * Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). * ServiceNow Certified System Administrator (CSA). * ServiceNow Certified Application Developer (CAD). * ServiceNow Certified HAM or CMDB Practitioner (preferred).

Austin, United states

Hybrid

Junior

31-12-2025

Company Name

Daman

Job Title

Gen AI Engineer

Job Description

Job Title: Gen AI Engineer Role Summary: Design and lead the implementation of scalable, secure AI‑driven applications, integrating LLMs, RAG pipelines, and other GenAI technologies into enterprise ecosystems while aligning with overall technology strategy. Expectations: • 8+ years in application/software architecture with enterprise‑scale solutions. • Deep knowledge of GenAI tools (LLMs, RAG, vector databases, prompt engineering). • Proven experience with cloud platforms (AWS, Azure, or GCP) and microservices architecture. • Proficiency in modern programming languages (Python, Node.js, Java). • Familiarity with MLOps, model deployment, inference optimization, and monitoring. • Strong grasp of enterprise security, compliance, and responsible AI principles. • Excellent communication and stakeholder influence skills. Key Responsibilities: • Architect secure, high‑performing GenAI applications. • Collaborate with product, engineering, data science, and infrastructure teams to translate business needs into technical solutions. • Define AI application standards, patterns, and reference architectures. • Drive application modernization using cloud‑native and AI‑native approaches. • Ensure compliance with security, data privacy, and responsible AI guidelines. • Align AI initiatives with broader technology strategy in partnership with enterprise architects. • Provide thought leadership, mentorship, and best‑practice guidance on GenAI adoption. • Evaluate emerging AI/ML technologies, frameworks, and vendors; advise on build‑vs‑buy decisions. Required Skills: • Enterprise application architecture, microservices design. • Generative AI expertise (LLMs, RAG, vector databases, prompt engineering). • Cloud architecture (AWS, Azure, GCP). • Programming (Python, Node.js, Java). • MLOps, model deployment, inference optimization, monitoring. • Enterprise security, compliance, governance. • Strong communication, stakeholder management. Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or related field. • Relevant certifications preferred: AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or equivalent security certifications (CISSP, ISO 27001 Lead Implementer).

Austin, United states

Hybrid

Senior

27-01-2026

Company Name

Daman

Job Title

Full Stack Developer - AI

Job Description

Job Title: Sr. Full Stack Developer – AI Role Summary: Senior full‑stack engineer responsible for designing, developing, and deploying Generative AI‑powered applications. Lead technical architecture, ensure secure, scalable, high‑performance solutions, and mentor international engineering teams while collaborating with product managers and AI specialists. Expectations: Deliver robust, production‑grade AI services; uphold coding standards, security, and performance; guide and grow engineering talent; manage end‑to‑end deployment pipelines; maintain strong cross‑functional communication in a hybrid work environment. Key Responsibilities: - Architect and build secure, scalable web applications, APIs, and backend services. - Engineer Generative AI solutions using tools such as GitHub Copilot and related frameworks. - Drive code quality, security, performance optimization, and DevOps practices. - Mentor and lead an international engineering team. - Apply modern software architecture, microservices, and API design best practices. - Configure and deploy cloud services (AWS ECS/Fargate, AWS Serverless, Azure Functions, AWS Lambda, etc.). - Manage version control, static code analysis, code reviews, load testing, and performance tuning. - Collaborate closely with product managers, architects, and AI specialists. Required Skills: - 10+ years of hands‑on coding experience. - Proficiency in Python, JavaScript/React, HTML/CSS, and C#. - Deep knowledge of modern full‑stack development, cloud technologies, microservices, and RESTful APIs. - Experience with Generative AI software engineering solutions. - Strong expertise in secure, scalable architecture, performance optimization, and DevOps. - Experience with load testing, troubleshooting, and optimizing web services. - Proficiency in version control (Git), static code analysis, and code reviews. - Excellent collaboration, problem‑solving, and communication skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

Austin, United states

Hybrid

Senior

16-02-2026