Description Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us? Here’s what the opportunity supported through our TGS Talent Acquisition Team requires: The Senior AI/ML Developer is a hands-on engineering role responsible for designing, building, testing, and maintaining cloud-native solutions, reusable accelerators, and production-ready application components on AWS. This role is not an architect position; it is intended for a Senior developer who can translate solution direction into secure, scalable, well-engineered software and infrastructure. The ideal candidate is strongest in AWS CDK with TypeScript, backend development with Node.js/TypeScript, and modern AWS delivery patterns across serverless, containers, APIs, events, identity, observability, and automation. The role also requires comfort building AI/ML-powered workflows that use Amazon Bedrock AgentCore and related AWS services, plus document and formatted-data processing pipelines that work across structured and unstructured content using services such as Amazon Bedrock Data Automation. This role may require occasional travel, such as a kickoff week for a long engagement. Key Responsibilities • Receive functional and technical requirements from Senior technical leadership and turn them into high-quality, maintainable code and infrastructure. • Design and implement backend services, APIs, workflows, and reusable delivery assets using AWS CDK in TypeScript as the primary infrastructure-as-code standard. • Develop cloud-native applications and integration patterns using Node.js/TypeScript, AWS Lambda, API Gateway, S3, EventBridge, SQS, SNS, DynamoDB, RDS, OpenSearch, and related AWS services. • Engineer AI/ML and agentic application components using Amazon Bedrock, Amazon Bedrock AgentCore, model integrations, tool invocation patterns, orchestration logic, runtime services, observability, and operational controls. • Build document and formatted-data processing solutions for structured and unstructured content, including use cases involving extraction, classification, enrichment, validation, orchestration, and downstream system integration. • Work with Amazon Bedrock Data Automation and custom processing pipelines to support document-centric and multimodal automation use cases. • Develop and deploy software across multiple AWS compute models, including Lambda, ECS, EKS, and EC2 where appropriate. • Integrate security, identity, networking, encryption, secrets management, and observability controls into every component as part of normal engineering delivery. • Participate in peer reviews, testing, CI/CD improvements, and engineering standardization efforts across service teams. • Quickly evaluate new AWS AI/ML and cloud-native capabilities and incorporate them into practical delivery patterns when they add client value. Minimum Qualifications • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. • 3+ years of hands-on experience in software engineering, cloud development, backend engineering, or AI/ML application development. • 3+ years of practical AWS experience across compute, storage, networking, application integration, and security services. • Deep hands-on experience with AWS CDK in TypeScript; this should be a core delivery skill, not a secondary familiarity. • Strong proficiency in TypeScript and Node.js for backend development and infrastructure implementation. • Deep experience developing serverless applications using AWS Lambda and the AWS SDK for JavaScript/TypeScript. • Experience building applications with API Gateway, Cognito, Lambda, and S3. • Hands-on experience deploying and supporting workloads across serverless and container-based environments, including Lambda, ECS, EKS, and EC2. • Working knowledge of observability implementation in AWS, including logging, metrics, tracing, alarming, and operational troubleshooting. • Strong understanding of IAM, application security, encryption, and secure integration patterns in AWS environments. • Experience with modern cloud-native design patterns, including microservices, event-driven architecture, asynchronous workflows, and secure service-to-service communication. • Basic scripting skills in Python, including test automation, utility tooling, and AWS interactions using boto3. • Experience with source control and CI/CD tooling, preferably GitHub and GitHub Actions. • Comfort building solutions that process documents and other formatted data across structured and unstructured sources. • Comfort with Amazon Bedrock Data Automation and custom agentic solutions for processing documents and other formatted data, including extraction and workflow integration patterns. • Familiarity with Amazon Bedrock AgentCore and the surrounding AWS services required to build, deploy, secure, and operate production agentic workloads. • Strong written and verbal communication skills and the ability to collaborate effectively with developers, architects, and delivery teams. • Associate-level AWS certification preferred, especially Developer or Solutions Architect Associate. Preferred Qualifications • 4+ years of experience in cloud development, AI/ML engineering, or production solution delivery. • Professional-level AWS certification, such as DevOps Engineer Professional, Solutions Architect Professional, or a relevant specialty certification. • Experience building custom agentic applications using Amazon Bedrock, Bedrock AgentCore, model orchestration, tool use patterns, and production operational controls. • Experience with supplementary AWS AI/ML and data services commonly used around agentic and document-processing solutions, such as Step Functions, EventBridge, OpenSearch, DynamoDB, RDS, CloudWatch, KMS, Secrets Manager, and vector-backed retrieval patterns. • Experience implementing Bedrock Data Automation projects, custom blueprints, extraction workflows, post-processing logic, and integration into enterprise systems. • Experience with containers, Kubernetes manifests, Helm charts, and deployment automation for application platforms. • Experience writing reusable internal accelerators, starter kits, or engineering frameworks that improve delivery consistency. • Experience with enterprise AWS environments and services such as AWS Organizations, Control Tower, Transit Gateway, and Direct Connect. • Demonstrated success deploying secure, scalable, and highly available distributed systems in production. Experience Level Intermediate Level Job Type & LocationThis is a Permanent position based out of Baltimore, MD. Pay and BenefitsThe pay range for this position is $107500.00 - $161300.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: • Medical, Dental, and Vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life and AD&D for employee and dependents) • Short and Long-Term Disability • Health Spending Account (HSA) • Transportation Benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Apr 17, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Full-Stack Engineer, (AI) Location: NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours, and also Tel Aviv Remote | Full-time Compensation: $160K - $200K Our client is a pioneer in automated, on-chain economic security systems, providing high-fidelity custom EVM simulations to protect and optimize decentralized finance (DeFi) protocols. Trusted by the industry’s leading platforms to secure and manage billions of dollars in assets, our client enables crypto protocols to refine risk management and capital efficiency through actionable, data-driven insights. The organization is seeking a proactive and results-driven Full-Stack Engineer to join their AI division. Reporting directly to the Head of Product & AI, this individual will play a critical role in collaborating with the CEO and the AI team to develop a sophisticated financial AI agent. The ideal candidate thrives in high-velocity, self-directed environments and possesses the technical breadth to manage everything from scalable backend services to high-performance, user-facing interfaces. Key Responsibilities - System Design: Architect and build robust full-stack systems to power a proprietary AI financial agent. - API & Backend Development: Develop scalable APIs and backend services designed to support complex agent workflows. - Interface Engineering: Build high-performance user interfaces that visualize agent reasoning, surface deep financial insights, and enable real-time interaction. - AI Integration: Collaborate closely with AI researchers to productionize agent logic and integrate Large Language Model (LLM) frameworks. - Data Management: Connect and manage complex data pipelines sourced from various financial providers. - Operational Excellence: Implement rigorous testing, monitoring, and performance best practices to ensure system reliability. - Innovation: Stay at the forefront of LLM frameworks, full-stack development tools, and evolving financial trends to maintain a competitive edge. Interview Process - Initial Screening: 30-minute call with Recruiter / HR. - Hiring Manager Interview: 30-minute discussion with the Head of Product & AI. - Technical Evaluation I: 1-hour session focused on LeetCode-style challenges (AI tool usage permitted). - Technical Evaluation II: 1-hour session focused on syntax and programming fundamentals (AI tool usage permitted). - Executive Interview: 30-minute final discussion with the Founder / CEO.

Full-Stack Engineer, (AI) Location: NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours, and also Tel Aviv Remote | Full-time Compensation: $160K - $200K Our client is a pioneer in automated, on-chain economic security systems, providing high-fidelity custom EVM simulations to protect and optimize decentralized finance (DeFi) protocols. Trusted by the industry’s leading platforms to secure and manage billions of dollars in assets, our client enables crypto protocols to refine risk management and capital efficiency through actionable, data-driven insights. The organization is seeking a proactive and results-driven Full-Stack Engineer to join their AI division. Reporting directly to the Head of Product & AI, this individual will play a critical role in collaborating with the CEO and the AI team to develop a sophisticated financial AI agent. The ideal candidate thrives in high-velocity, self-directed environments and possesses the technical breadth to manage everything from scalable backend services to high-performance, user-facing interfaces. Key Responsibilities - System Design: Architect and build robust full-stack systems to power a proprietary AI financial agent. - API & Backend Development: Develop scalable APIs and backend services designed to support complex agent workflows. - Interface Engineering: Build high-performance user interfaces that visualize agent reasoning, surface deep financial insights, and enable real-time interaction. - AI Integration: Collaborate closely with AI researchers to productionize agent logic and integrate Large Language Model (LLM) frameworks. - Data Management: Connect and manage complex data pipelines sourced from various financial providers. - Operational Excellence: Implement rigorous testing, monitoring, and performance best practices to ensure system reliability. - Innovation: Stay at the forefront of LLM frameworks, full-stack development tools, and evolving financial trends to maintain a competitive edge. Interview Process - Initial Screening: 30-minute call with Recruiter / HR. - Hiring Manager Interview: 30-minute discussion with the Head of Product & AI. - Technical Evaluation I: 1-hour session focused on LeetCode-style challenges (AI tool usage permitted). - Technical Evaluation II: 1-hour session focused on syntax and programming fundamentals (AI tool usage permitted). - Executive Interview: 30-minute final discussion with the Founder / CEO.

Full-Stack Engineer, (AI) Location: NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours, and also Tel Aviv Remote | Full-time Compensation: $160K - $200K Our client is a pioneer in automated, on-chain economic security systems, providing high-fidelity custom EVM simulations to protect and optimize decentralized finance (DeFi) protocols. Trusted by the industry’s leading platforms to secure and manage billions of dollars in assets, our client enables crypto protocols to refine risk management and capital efficiency through actionable, data-driven insights. The organization is seeking a proactive and results-driven Full-Stack Engineer to join their AI division. Reporting directly to the Head of Product & AI, this individual will play a critical role in collaborating with the CEO and the AI team to develop a sophisticated financial AI agent. The ideal candidate thrives in high-velocity, self-directed environments and possesses the technical breadth to manage everything from scalable backend services to high-performance, user-facing interfaces. Key Responsibilities - System Design: Architect and build robust full-stack systems to power a proprietary AI financial agent. - API & Backend Development: Develop scalable APIs and backend services designed to support complex agent workflows. - Interface Engineering: Build high-performance user interfaces that visualize agent reasoning, surface deep financial insights, and enable real-time interaction. - AI Integration: Collaborate closely with AI researchers to productionize agent logic and integrate Large Language Model (LLM) frameworks. - Data Management: Connect and manage complex data pipelines sourced from various financial providers. - Operational Excellence: Implement rigorous testing, monitoring, and performance best practices to ensure system reliability. - Innovation: Stay at the forefront of LLM frameworks, full-stack development tools, and evolving financial trends to maintain a competitive edge. Interview Process - Initial Screening: 30-minute call with Recruiter / HR. - Hiring Manager Interview: 30-minute discussion with the Head of Product & AI. - Technical Evaluation I: 1-hour session focused on LeetCode-style challenges (AI tool usage permitted). - Technical Evaluation II: 1-hour session focused on syntax and programming fundamentals (AI tool usage permitted). - Executive Interview: 30-minute final discussion with the Founder / CEO.