Forward Deployed Engineer – AI

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

📋 Description

• Act as the technical liaison between enterprise clients and OPAQUE's secure AI platform.

• Collaborate with customer engineering teams from the initial architecture assessment to the production deployment phase.

• Install and implement OPAQUE within customer environments.

• Create customized AI and agentic solutions that meet specific customer requirements.

• Lead technical discovery sessions and architectural scoping with enterprise clients.

• Design and construct production-ready agentic workflows, RAG pipelines, and LLM integrations.

• Partner with customer engineering teams during production deployment, addressing integration challenges and troubleshooting failures.

• Conduct technical whiteboard sessions, architecture evaluations, and POC demonstrations for audiences including CTOs, CISOs, and engineering leaders.

• Consolidate field observations into actionable product feedback.

• Develop reusable integration guides, POC templates, architectural reference designs, and objection handling playbooks.

• Keep abreast of developments in agentic frameworks, RAG methodologies, LLM features, and enterprise AI tools.

⛳️ Requirements

• Over 5 years of experience in software engineering, specifically with production AI/ML systems.

• Practical experience in developing agentic workflows, including tool utilization, multi-agent orchestration, memory architecture, and agent reliability patterns.

• Extensive hands-on experience in RAG pipeline design, focusing on chunking strategies, embedding models, vector databases, retrieval quality assessment, and re-ranking.

• Proficient in Python programming.

• Familiarity with AI frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, or similar technologies.

• Experience with integrating LLM APIs (OpenAI, Anthropic, Gemini) in enterprise production settings.

• Ability to engage directly with enterprise client teams and comfort in engaging in executive-level technical discussions.

• Strong knowledge of enterprise deployment challenges, including IAM, data residency, network architecture, and compliance mandates (SOC 2, HIPAA, FedRAMP).

• Security-conscious engineering approach; comprehension of trust boundaries, data flow, and cryptographic attestation.

• Experience with confidential computing, TEEs, or privacy-preserving AI is an added advantage.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and holiday policies.

• Opportunities for professional development and career advancement.

• Flexible work arrangements and a supportive team culture.