AI Forward Deployed Engineer

This is a highly technical, hands-on, customer-facing role at the intersection of Agentic AI, software engineering, cybersecurity, and enterprise deployment
.

The successful candidate will work directly with customers and security teams to design, build, integrate, deploy, troubleshoot, and continuously improve production-grade Agentic AI solutions
.

• Design and deploy production-grade AI agents and multi-agent workflows
• Build Agentic AI solutions using Lang Chain, Lang Graph, and similar frameworks
• Develop custom integrations, tools, APIs, workflows, and agent graphs using Python
• Integrate AI agents with enterprise cybersecurity platforms and customer infrastructure
• Build AI workflows for security alert triage, investigation, threat hunting, incident response, and automation
• Troubleshoot AI behaviour and improve agent accuracy, reliability, guardrails, and performance
• Take solutions from idea code integration deployment production
• Work directly with enterprise customers, SOC teams, and MSSPs to solve real-world security challenges

• Excellent hands-on Python engineering skills – mandatory
• Proven experience building LLM / Agentic AI applications
• Strong experience with Lang Graph and/or Lang Chain
• REST APIs, Web Sockets, FastAPI, Pydantic & API integrations
• LLMs, RAG, embeddings, vector search & structured outputs
• Multi-agent architectures, tool/function calling, state, memory & orchestration
• MCP (Model Context Protocol) and AI agent infrastructure
• Docker, Kubernetes, Linux, Git & CI/CD
• Azure, AWS or GCP experience
• Understanding of cybersecurity operations including SOC, SIEM, EDR/XDR, SOAR, Incident Response & MITRE ATT&CK
• Ability to deploy and troubleshoot solutions in complex enterprise environments

Experience integrating technologies such as Microsoft Sentinel/Defender, Crowd Strike, Splunk, Palo Alto, Fortinet, Elastic or Open Search will be a strong advantage.

We are particularly interested in engineers who have built and deployed real Agentic AI systems
, not just experimented with prompts or standalone LLM applications.

Only shortlisted candidates will be contacted.