Senior Software Engineer, AI at Aecom USA

Dallas, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

155000.0

Posted On

16 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, Backend development, API design, Microservices, LLM integration, RAG, Cloud computing, AWS, Azure, Distributed systems, Async processing, Vector databases, Embeddings, Semantic search, System monitoring

Industry

Civil Engineering

Description

Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description We’re looking for a Senior Software Engineer to build and ship production AI features powered by LLMs. This role is hands-on backend development, designing APIs, building services, and integrating AI into real applications used across the business. You’ll work on problems such as RAG and on deploying AI features to production. This is not a research role. You’ll build reliable, scalable AI functionality that people use every day. This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX. Key Responsibilities Build backend services and APIs that integrate LLMs into real applications Develop AI-powered features using retrieval-augmented generation (RAG) Design scalable services using async processing, queues, and microservices patterns Integrate AI functionality into existing products and workflows Own features end-to-end: build, deploy, monitor, and improve AI functionality in production Solve real-world AI challenges around latency, response quality, and cost Work with structured and unstructured data to support AI features Partner with engineering and data teams to deliver reliable, production-ready solutions Qualifications Minimum Qualifications Bachelor's Degree plus at least 6 years of software engineering experience, or demonstrated equivalency of experience and/or education Strong backend development skills in Python, Java, or similar Experience building APIs, microservices, or distributed applications Hands-on experience integrating LLMs or AI APIs into production applications Experience with RAG or similar retrieval-based approaches Experience deploying applications in cloud environments (AWS, Azure, etc.) Strong understanding of production reliability, monitoring, and scaling Preferred Qualifications Experience building internal AI tools, copilots, or automation features Familiarity with vector databases, embeddings, or semantic search Experience improving retrieval quality (chunking, ranking, filtering) Additional Information Relocation assistance is not available for this position Sponsorship for US work authorization is not available for this position, now or in the future. About AECOM AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com. What makes AECOM a great place to work You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines. State/Province: Texas Business Group: Corporate Legal Entity: AECOM Business Line: Corporate Work Location Model: Hybrid Operating Group: Corporate Primary Location: US - Dallas, TX - 13355 Noel Road Compensation: USD 120000 - USD 155000 - yearly

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Responsibilities

The Senior Software Engineer will build and deploy production-ready AI features by integrating LLMs into backend services and APIs. Responsibilities include designing scalable architectures, implementing RAG solutions, and managing the end-to-end lifecycle of AI functionality.