• Build and own pipelines for the creation, curation, and processing of large-scale multimodal datasets, including vector database (LanceDB) management and query optimization for ML metadata • Build and own ETL and CDC streams from Postgres and ClickHouse to analytics warehouses • Build standardized data transformation layers using dbt to replace ad-hoc SQL queries and create maintainable data models for business analytics • Manage production databases (Postgres, ClickHouse) and optimize for performance and reliability

• Productionize model checkpoints end-to-end: from research completion to internal testing to production deployment to post-release support • Build and optimize inference systems for large-scale generative models running on multi-GPU environments • Design and implement model serving infrastructure specialized for diffusion models and real-time diffusion workflows • Add monitoring and observability for new model releases—track errors, throughput, GPU utilization, and latency • Embed with research teams to gather training data, run preprocessing scripts, and support the model development process • Explore and integrate with GPU inference providers (Modal, E2E, Baseten, etc.)

Role Description ECS is seeking a highly experienced Software Engineer to work remotely. The ideal resource will have experience with: - AWS - Python - Bash - Terraform - GitLab - Kubernetes - Linux - XML - AWS certification The Software Engineer will be part of a mission-critical team advancing technology for our federal clients' next generation of environmental data. Work is normally performed in a remote work arrangement. - Analyze user needs and software requirements to determine the feasibility of design within time and cost constraints. - Create, manage, and deploy containers to ensure efficient, consistent, and scalable application operations across various environments. - Confer with system analysts, engineers, programmers, and others to design systems and obtain information on project limitations and capabilities, performance requirements, and interfaces. - Design, develop, and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design. - Determine system performance standards. - Develop or direct software systems testing or validation procedures, programming, or documentation. - Monitor functionality of equipment to ensure the system operates in conformance with specifications. - Responsible for configuration management of requirements, code, and software configuration, and advise users on the CM policies and procedures. - Develop and maintain CM processes, plans, policies, Standard Operating Procedures (SOP's), work instructions, and other documents. Qualifications - Bachelor's degree in information technology or related field or equivalent work experience. - 8+ years of Software Engineering experience. - Demonstrated hands-on experience with continuous integration and continuous delivery (CI/CD) pipeline development. - Extensive experience using GitLab. - Proven experience in the development and implementation of software applications. - Experience with OpenShift for containerization and Kubernetes. - Strong scripting language skills required (Python and Bash). - Experience with SCM concepts and methodologies. - In-depth knowledge of branching, merging, and baseline strategies. - Ability to work well with others, collaborate, and communicate effectively. Requirements - Salary Range: $120,000 - $135,000 Benefits - General Description of Benefits

WHAT WE DO Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success. GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success. Summary We are looking for a Senior Python Software Engineer to build and scale backend systems powering next-generation AI-driven voice solutions in the automotive industry. This role is open to engineers with strong experience in Python, as well as full stack or multi-stack engineers who have worked on Python-based projects and can effectively contribute to backend systems. A key aspect of this role is being an AI Engineer in practice — meaning strong, hands-on experience using AI assistants, coding agents, or AI-driven development workflows (not just basic tools like autocomplete). You will leverage these tools to accelerate development, solve problems, and deliver production-ready solutions. You will work on scalable backend services, API integrations, and AI-powered features, contributing to products that transform how customers interact with dealerships. Professional Experience •5+ years of experience in software development, including hands-on experience with Python •Experience building backend systems, APIs, or scalable services •Experience working with cloud environments (AWS, GCP, or Azure) •Experience working with data and databases •Practical experience using AI assistants, coding agents, or AI-driven workflows in development Key Responsibilities •Design, build, and maintain backend systems using Python and related technologies •Develop and integrate REST APIs and third-party services •Collaborate with product and engineering teams to deliver features end-to-end •Work with cloud infrastructure and containerized environments (Docker) •Contribute to system design discussions and scalability improvements •Ensure code quality through testing, code reviews, and CI/CD practices •Leverage AI tools and agents to accelerate development, debugging, and solution design •Support the integration of AI/voice technologies such as STT/TTS or LLM APIs Technical Skills Strong experience in several of the following areas: •Backend Development: Python or experience working on Python-based systems •Cloud & DevOps: AWS, GCP, or Azure, Docker, CI/CD pipelines •APIs & Integrations: REST APIs and third-party integrations •Data: SQL/NoSQL databases, data processing •AI-Native Development: Experience using AI assistants, coding agents, or automation workflows in real development scenarios •AI Exposure (Plus): NLP, LLM APIs, STT/TTS systems Soft Skills •Advanced English proficiency •Strong problem-solving skills •Good communication and collaboration •Ownership mindset and attention to detail •Ability to work in fast-paced, product-driven environments At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.