Forward Deployed Engineer - Technology

ABOUT TRUELOGIC At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. OUR CLIENT The client is a digital product, brand, and customer experience consultancy that helps leading companies design and build digital experiences, products, platforms, and growth initiatives. The company operates with a distributed workforce model and manages a large network of freelancers, contractors, and full-time employees across multiple disciplines. JOB SUMMARY The Forward Deployed Engineer will partner directly with Talent and Resourcing leadership to evaluate and optimize the organization's talent operations ecosystem. Working across tools such as Airtable, Lever, and other internal systems, this individual will identify opportunities to improve workflows, automate manual processes, and leverage AI-driven solutions to increase efficiency and decision-making. Acting as a consultant-builder, the FDE will work closely with stakeholders to understand business challenges, define technical solutions, and lead initiatives from discovery through implementation. RESPONSIBILITIES - Partner with business stakeholders to understand existing workflows, pain points, and operational challenges - Evaluate current systems, processes, and integrations, identifying opportunities for automation and optimization - Design and implement AI-powered solutions that improve talent operations and decision-making - Build integrations between internal and third-party platforms using APIs and workflow automation tools - Define technical architectures, MVPs, and implementation roadmaps for new initiatives - Develop internal tools and operational platforms that streamline talent management processes - Prototype and deploy solutions involving LLMs, agents, recommendation systems, and workflow automation where appropriate - Own projects from discovery and requirements gathering through delivery and iteration - Provide technical guidance and recommendations on emerging AI technologies and automation opportunities QUALIFICATIONS AND JOB REQUIREMENTS - 5+ years of software engineering experience - Strong Python development experience - Experience integrating third-party systems via APIs - Experience building AI-enabled applications using LLMs - Experience leveraging AI/LLM technologies to solve business problems and improve operational workflows - Experience working directly with business stakeholders and translating business needs into technical solutions - Experience designing and building internal tools, workflow automation, or operational platforms - Strong communication and consulting skills - Ability to operate effectively in highly ambiguous environments - SQL and data modeling experience NICE TO HAVE - Experience leading technical discovery, requirements gathering, and solution design - Hands-on experience with OpenAI, Anthropic Claude, or AWS Bedrock - Familiarity with LangChain, LlamaIndex, or similar AI frameworks - Knowledge of vector databases, embeddings, and semantic search - Experience building recommendation engines or matching systems - Exposure to agentic AI workflows and autonomous agents - Integration experience with Airtable, Lever ATS, or si