[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.