Forward Deployed Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Collaborate closely with strategic enterprise clients to swiftly identify critical business challenges, analyze data environments, and collaboratively design AI solutions on-site.

• Oversee the complete solution design and implementation of agentic AI workflows, RAG pipelines, knowledge graphs, and applications for real-time decision-making.

• Facilitate rapid prototyping and proof of concepts (POCs) that showcase measurable business value within a few days to weeks.

• Act as the primary technical lead throughout the entire project lifecycle, including scoping, architecture, development, deployment, and post-launch enhancement.

• Design production-grade Enterprise AI applications utilizing Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, ensuring integration with enterprise systems such as ERP, CRM, data warehouses, and data lakes.

• Construct scalable data pipelines leveraging both structured and unstructured data through ETL/ELT processes, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks.

• Develop and refine LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and manage multi-agent workflows (LangChain, LangGraph, CrewAI).

• Deliver projects with comprehensive full-stack and DevOps expertise, including Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management.

• Advocate for observability, monitoring, and telemetry to guarantee reliable, auditable, and version-controlled AI agents in production.

• Identify growth opportunities by collaborating with sales and customer success teams to discover high-value use cases across new business sectors.

• Provide structured field insights to Platform Engineering and Product teams regarding feature gaps, emerging requirements, and usability improvements.

• Create reusable intellectual property through reference architectures, accelerators, frameworks, and technical best practices that can scale future engagements.

• Mentor engineers and customer teams, facilitating knowledge transfer and cultivating internal AI capabilities.

⛳️ Requirements

• BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or a related discipline.

• 3+ years of experience in software engineering, data engineering, or AI/ML delivery, preferably in customer-facing or field positions.

• Demonstrated success in developing and deploying AI/ML applications in production at an enterprise scale.

• Extensive full-stack expertise: Python (mandatory), Node.js/Go, React/Vue, SQL/NoSQL databases.

• Proficient with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks.

• Strong DevOps capabilities: Docker, Kubernetes, CI/CD, GPU infrastructure, and cloud-native deployment strategies.

• Experience in integrating various enterprise systems, including ERP, data warehouses, data lakes, and streaming architectures.

• Capacity to translate vague customer requirements into actionable engineering plans under tight deadlines.

• Excellent communication skills, comfortable with C-suite presentations, technical workshops, and cross-functional collaboration.

• Willingness to travel up to 25% for on-site customer engagements.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible working hours

• Paid time off