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TDS Global Solutions is building a specialized Forward Deployed Engineering & Applied AI Talent Network to connect highly technical, customer-facing engineers with current and future opportunities across high-growth technology, AI, SaaS, and venture-backed organizations. This Talent Network is designed for engineers who thrive at the intersection of software engineering, artificial intelligence, and customer delivery—professionals who can understand complex business problems, architect solutions, build production-grade software, and work directly with customers to bring those solutions to life. Whether you're actively exploring your next opportunity or simply interested in staying connected for future roles, joining our Talent Network allows our recruiting team to consider your background for relevant searches as they become available. Why Apply? TDS Global Solutions partners with organizations seeking highly technical professionals who can bridge the gap between engineering, product, AI, and the customer. Qualified candidates may be considered for confidential, current, and upcoming searches across organizations ranging from emerging startups and venture-backed technology companies to established enterprise technology organizations. Your profile will be reviewed by our Executive Recruiting Team and retained within our Talent Network so we can contact you when an opportunity aligns with your experience and career interests. Typical Roles We Recruit For Forward Deployed Engineer / Forward Deployed Software Engineer Senior & Staff Forward Deployed Engineer Applied AI Engineer / AI Engineer AI Solutions Engineer Customer Engineer / Technical Solutions Engineer Solutions Engineer / Solutions Architect Founding Engineer Senior & Staff Software Engineer – AI Full-Stack Engineer – AI AI Integration Engineer Who We're Looking For We are especially interested in engineers who combine strong technical depth with excellent communication and customer-facing skills. Successful professionals in this space are often hands-on builders who are comfortable operating in ambiguous, fast-moving environments; working directly with customers and technical stakeholders; taking ownership of solutions from discovery through production deployment; and translating lessons from the field into improvements across Product and Engineering. Experience within venture-backed startups, high-growth technology companies, AI organizations, or complex enterprise software environments is highly valued. Skills, Technologies & Industry Experience We Frequently Recruit For Engineering: Python, JavaScript, TypeScript, React, Node.js, Java, Go, APIs, Full-Stack Development, Distributed Systems AI & Machine Learning: Generative AI, Large Language Models (LLMs), AI Agents, Agentic AI, RAG, Conversational AI, Voice AI, NLP, Machine Learning Cloud & Infrastructure: AWS, Google Cloud Platform (GCP), Microsoft Azure, Cloud Infrastructure, Data Pipelines, Production AI Infrastructure Customer & Solutions: Enterprise Integrations, Technical Discovery, Solution Architecture, Customer Deployments, Technical Consulting, Implementation, Proofs of Concept Company Environments: AI startups, SaaS, venture-backed technology companies, high-growth product organizations, enterprise technology What Happens After You Apply? Our Executive Recruiting Team will review your experience, technical background, and career interests. If your profile aligns with a current opportunity, a recruiter may contact you to discuss the role in greater detail. If there is not an immediate match, your information may be retained within our Forward Deployed Engineering & Applied AI Talent Network for consideration as future opportunities become available. Joining this Talent Network does not guarantee an interview, submission, or placement. Opportunities and qualification requirements will vary by client and position. Requirements Qualifications will vary by opportunity, but we typically look for professionals with experience in one or more of the following areas: Hands-on software engineering and development of production-grade applications Customer-facing technical implementations, integrations, or deployments Building and deploying AI, Generative AI, LLM, agentic AI, conversational AI, or Voice AI solutions Full-stack development using technologies such as Python, JavaScript/TypeScript, React, Node.js, Java, or Go Cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure APIs, enterprise integrations, distributed systems, data infrastructure, or real-time applications Translating customer requirements into scalable technical solutions Working cross-functionally with Engineering, Product, Sales, and Customer Success teams Originally posted on Himalayas