DescriptionWe are seeking an AI Engineer to design, build, and deploy AI-powered capabilities within our product. This role focuses on integrating machine learning models and large language models (LLMs) into scalable software systems and delivering reliable AI-driven features to production. The AI Engineer works at the intersection of software engineering, AI systems, and infrastructure. transforming AI technologies into practical applications. Responsibilities: - Build applications powered by machine learning and large language models (LLMs). - Implement capabilities such as intelligent assistants, semantic search, automation, and recommendation systems. - Integrate AI functionality into backend services and product workflows. - Design and implement retrieval pipelines, embedding pipelines, and inference workflows. - Build Retrieval-Augmented Generation (RAG) systems and AI-driven services. - Create scalable AI architectures capable of handling production workloads. - Package and deploy AI models as production services. - Optimize inference performance, scalability, and latency. - Monitor AI services to ensure reliability and performance. - Develop backend services and APIs that expose AI capabilities. - Integrate AI systems with databases, internal services, and external APIs. - Contribute to system architecture and microservices design. - Implement logging, metrics, and observability for AI systems. - Track model performance and system reliability in production environments. - Work closely with product managers, engineers, and data scientists. Requirements - 5+ years of programming skills in one or more modern languages (such as Python, Java, Go, or similar). - Experience building backend services and APIs. - Experience integrating machine learning models or LLMs into applications. - Understanding of microservices architecture and distributed systems. - Experience with Docker and containerized applications. - Familiarity with Kubernetes or cloud infrastructure. - Experience working with databases and data processing pipelines. Preferred Qualifications: - Experience building LLM-based applications. - Experience with RAG architectures and embeddings. - Experience with vector databases or semantic search systems. - Familiarity with model serving frameworks or inference platforms. - Experience working in production AI environments. Strong Advantage: - Experience working with local or self-hosted AI models (e.g., Llama, Mistral, or similar). - Experience deploying AI models in on-premise or private cloud environments. - Familiarity with running LLM inference locally using frameworks such as Ollama, vLLM, or Hugging Face Transformers. - Experience optimizing models for GPU/CPU inference and resource-constrained environments.

• Feedback Loop Implementation: Design and implement systems that connect trade outcomes back to strategy improvement, specifically focusing on signal selection, risk parameters, position sizing, and timing. • Evaluation Frameworks: Build frameworks to quantify which signals and market conditions accurately predict profitable trades versus noise. • Automated Strategy Generation: Develop systems to explore new configurations, backtest them against real fleet data, and surface candidates for deployment autonomously. • Market Adaptation: Build mechanisms to detect shifts in market conditions (e.g., trending vs. choppy) and adapt fleet behavior in real-time. • Fleet Monitoring: Create higher-order agents for automated monitoring to catch configuration errors and performance degradation across all concurrent agents. • Performance Attribution: Decompose trades into component drivers—signal accuracy, execution efficiency, and exit timing—to feed insights back into strategy design. • Coordination & Risk: Manage concentration risk and capital allocation across the fleet, balancing the exploration of new approaches with the exploitation of proven strategies. • Infrastructure Ownership: Transition from external LLM dependence to controlled intelligence, evaluating hosting strategies ranging from proxied external models to fine-tuned, domain-specific models. • Data Capture: Build the telemetry and data capture layer to ensure every decision and outcome is structured and queryable. • Domain-Specific Training: Determine the efficacy of domain-specific training over general-purpose prompting and build the necessary pipelines for implementation. • Inference Optimization: Optimize inference for many concurrent agents, ensuring structured decision outputs and cost-efficiency at scale.

Role Description ECS is seeking a Data and AI Engineer to work remotely. The Data and AI Engineer will be a key member of our high performing team. They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievable objectives and driving the completion of those objectives. As an expert in delivering technical projects, the Engineer will identify challenges and improvements to process, organizational practices, technical innovation, and culture; then lead cross functional team members to solution and deliver improvements. They will also apply their technical expertise across multiple disciplines to share the best approaches and solutions with our customers to improve complex strategic solutions and meet enterprise needs. Strong candidates will show experiences identifying strategic improvement opportunities, creating interest and buy-in, and executing on vision. Salary Range: $120,000 - $165,000 Qualifications - Must be a US Citizen - Must be able to obtain a Public Trust Clearance - Bachelor's degree - 5+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures - 5+ years of Data experience in evaluating, architecting, and building AI and Generative AI tools - Serve as a central facilitator in helping the organization to understand their current drivers and challenges - Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs - Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization - Ability to work hands on with developers to deliver solutions and provide customer facing support and solutioning - Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions - Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions - Experience working in Agile environment leveraging advanced design and engineering best practices - Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management - Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools - Experience with Azure and AWS Cloud native data and AI technologies - Experience with Databricks, SnowFlake, Palantir, and other large data platforms Benefits - General Description of Benefits Company Description

Role Description ECS is seeking a Sr. Data and AI Engineer to work remotely. The Sr. Data and AI Engineer will be a key member of our high performing team. They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievable objectives and driving the completion of those objectives. As an expert in delivering technical projects, the Engineer will identify challenges and improvements to process, organizational practices, technical innovation, and culture; then lead cross functional team members to solution and deliver improvements. They will also apply their technical expertise across multiple disciplines to share the best approaches and solutions with our customers to improve complex strategic solutions and meet enterprise needs. Strong candidates will show experiences identifying strategic improvement opportunities, creating interest and buy-in, and executing on vision. Salary Range: $180,000 - $200,000 Qualifications - Must be a US Citizen - Must be able to obtain a Public Trust Clearance - Bachelor's degree - 10+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures - 5+ years of Data experience in evaluating, architecting, and building AI and Generative AI tools - Serve as a central facilitator in helping the organization to understand their current drivers and challenges - Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs - Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization - Ability to work hands on with developers to deliver solutions and provide customer facing support and solutioning - Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions - Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions - Experience working in Agile environment leveraging advanced design and engineering best practices - Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management - Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools - Experience with Azure and AWS Cloud native data and AI technologies - Experience with Databricks, SnowFlake, Palantir, and other large data platforms Benefits - General Description of Benefits Company Description