[DT] : Forward Deployed AI / Software Engineer

Vinove; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Vinove is seeking a Forward Deployed AI/Software Engineer to collaborate closely with clients, understand their business requirements, and translate them into robust AI-powered software solutions. The role involves building agentic workflows, integrating AI models with enterprise systems, and delivering production-ready applications.

You will work with Python/TypeScript, design scalable AI workflows, and ensure observability, security, and cost considerations are baked into the architecture.

Qualifications

• Experience building and deploying production-grade software.
• Strong proficiency in Python and TypeScript.
• Hands-on experience with AI-powered applications or agentic systems.
• Understanding of LLMs, prompts, context management, and tool usage.
• Experience with APIs, databases, cloud infra, and modern software practices.
• Ability to take a problem from discovery to production.

Responsibilities

• Work with clients to understand requirements and translate them into technical solutions.
• Build AI-powered applications, agentic workflows, and full-stack solutions.
• Design systems around AI models including observability and runtime controls.
• Develop agent workflows including planning, tool use, and execution patterns.
• Create evaluation mechanisms for quality, latency, and cost.
• Collaborate with product, security, and client teams from discovery to production.

Skills

Python

TypeScript

AI-powered apps

LLMs prompts

APIs & databases

Cloud infrastructure

Production-grade software

Tools

Docker

Kubernetes

CI/CD

Infra as Code

AWS

Azure

GCP

Job description

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.