Forward Deployed Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $90k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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Accellor

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

Accellor is a company offering AI-driven solutions across various industries, focusing on enhancing efficiency and engagement through advanced applications and data strategies. Their services include leveraging artificial intelligence for enterprise applications, product engineering, and cloud services to transform industries such as healthcare, manufacturing, financial services, real estate, retail, travel, and hospitality. Accellor partners with technology leaders like Salesforce and Microsoft Dynamics 365 to deliver personalized, intelligent business applications. Committed to responsible AI practices, Accellor helps organizations harness the potential of data and AI to drive strategic decisions, automate operations, and provide superior experiences.

📋 Description

• Develop features, resolve defects, refactor applications, and create automated tests using AI-assisted development tools • Use Cursor and other coding environments for repository exploration, implementation, debugging, testing, and code review • Translate product requirements into engineering tasks, technical approaches, and acceptance criteria • Own code quality and delivery readiness, including changes produced by AI models or agents • Collaborate with product, engineering, and quality teams to deliver reliable software releases • Design and maintain prompts, repository instructions, context strategies, and reusable software-engineering workflows • Provide models with relevant architecture, dependencies, coding standards, constraints, and expected outcomes • Establish repeatable evaluations for correctness, consistency, requirement coverage, and human intervention needs • Improve prompts and workflows using test results, code reviews, and delivery outcomes • Build coordinated coding-agent groups for planning, implementation, testing, review, and documentation • Design task delegation, handover, takeover, and recovery workflows with clear ownership and shared task state • Manage parallel execution, dependencies, isolated workspaces, and integration conflicts • Define tool access, execution boundaries, and human review checkpoints • Ensure agent-produced changes are traceable, reviewable, tested, and integrated • Select models and tools based on task requirements, quality, latency, and cost • Optimize context size, token consumption, model routing, retries, and agent execution overhead • Establish baselines and measure development throughput, delivery time, review effort, and AI expenditure • Report weekly and monthly delivery trends, including pull requests raised and merged • Share validated practices and reusable tools that improve the wider engineering team’s effectiveness

🎯 Requirements

• 0–4 years of relevant experience in software engineering, AI engineering, or applied AI development; academic, personal, and open-source projects will also be considered • Proficiency in at least one programming language, such as Python, TypeScript/JavaScript, Java, Go, or C# • Hands-on experience applying frontier models, including OpenAI models or Anthropic Claude, to software development • Practical experience with Cursor or comparable AI coding environments • Strong prompt engineering skills, including task decomposition, context preparation, structured outputs, and iterative evaluation • Working knowledge of Git, pull requests, debugging, automated testing, APIs, and CI/CD • Ability to understand existing codebases and independently assess the correctness of AI-generated code • Clear communication, collaborative working habits, and ownership of engineering outcomes • Preferred: experience developing workflows with multiple coding agents, including delegation, handover, and integration • Preferred: familiarity with model APIs, tool calling, Model Context Protocol (MCP), and agent orchestration frameworks • Preferred: experience evaluating prompts and models using defined datasets, acceptance criteria, and automated checks • Preferred: experience monitoring AI usage, engineering productivity, and cost efficiency • Preferred: exposure to cloud platforms, containers, deployment automation, and application observability • Preferred: portfolio of working software demonstrating effective use of AI tools, supported by tests and technical documentation

🏖️ Benefits

• Flexible and discretionary time off • Healthcare coverage for you and your loved ones • Retirement savings plan • Flexible spending accounts • Health savings accounts • Life and AD&D insurance • Opportunities for professional development • Annual bonus may be available

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