[DT] : Forward Deployed AI / Software Engineer

Position: Forward Deployed AI / Software Engineer Key Responsibilities: • Work directly with clients to understand business requirements, workflows, technical environments, and operational challenges. • Translate ambiguous business problems into technical requirements, solution designs, prototypes, and production-ready applications • Build AI-powered applications, agentic workflows, APIs, data pipelines, and full-stack solutions • Design and implement systems around AI models, including tools, context, memory, permissions, runtime controls, observability, and feedback mechanisms. • Build and refine agent workflows covering planning, tool selection, execution, observation, recovery, and termination. • Develop workflow orchestration using graphs, state machines, and multi-step execution patterns • Build evaluation mechanisms to measure AI application quality, reliability, task completion, latency, and cost. • Integrate AI solutions with enterprise applications, APIs, databases, cloud platforms, and third-party services. • Troubleshoot AI-system issues such as hallucinations, context loss, unreliable tool calls, looping, and prompt-injection risks. • Collaborate with product, engineering, data, security, and client teams to take solutions from discovery to production. • Clearly communicate technical decisions, risks, limitations, and trade-offs to technical and non-technical stakeholders. Required Skills: • Strong professional experience building and deploying production-grade software. • Strong proficiency in Python, TypeScript, or a similar programming language. • Hands-on experience building AI-powered applications or agentic systems. • Practical understanding of LLMs, prompts, context management, tool use, structured outputs, memory, and model selection. • Experience building or working with AI aagents/agentloops involving planning, tool use, execution, observation, and recovery. • Understanding of workflow orchestration, graphs, state machines, or multi-step AI workflows. • Experience working with APIs, databases, cloud infrastructure, and modern software engineering practices. • Experience taking a problem from discovery to prototype to validation to production. • Ability to work directly with clients or business stakeholders and translate business requirements into technical solutions. • Strong debugging, problem-solving, communication, and ownership skills. • Comfortable working remotely with teams operating in CST business hours. Preferred (Bonus) Skills: • Experience with AI agent frameworks, workflow engines, coding agents, or custom AI orchestration systems. • Experience with RAG, embeddings, vector databases/search, knowledge graphs, fine-tuning, or model routing. • Experience with AI evaluation, regression testing, human evaluation, or production monitoring. • Familiarity with AI observability, tracing, token/cost analysis, latency monitoring, and quality dashboards. • Experience building multi-agent or multi-model systems. • Understanding of AI security risks including prompt injection, data leakage, excessive agency, and insecure tool usage • Experience with AWS, Azure, or Google Cloud. • Experience with Docker, Kubernetes, Infrastructure as Code, and CI/CD. • Experience in consulting, solutions engineering, professional services, or other customer-facing technical roles. • Experience working with complex enterprise environments.