Forward Deployed Applied AI Engineer

We are seeking an experienced Forward Deployed Applied AI Engineer to design, develop, and deploy production-grade AI agents and Generative AI solutions within enterprise business units. The ideal candidate will partner with business stakeholders to identify AI opportunities, build intelligent workflows, integrate enterprise systems, and deliver measurable business outcomes using modern Agentic AI frameworks.

Key Responsibilities

• Partner with business teams to identify high-impact AI use cases and translate business problems into AI solutions.
• Design, develop, and deploy production-ready AI agents and intelligent workflows.
• Build Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources.
• Integrate AI agents with enterprise applications, APIs, and MCP Tool Gateway.
• Develop evaluation frameworks, AI guardrails, and monitoring for production AI systems.
• Collaborate with platform engineering teams to improve AI platform capabilities and adoption.

Required Skills

• 5–8 years of software engineering experience with Python
• 2+ years of hands-on experience building Generative AI / LLM applications
• Strong experience with Agentic AI frameworks such as LangGraph, Google ADK, CrewAI, or similar
• Experience integrating GPT-4, Claude, Gemini or other LLMs
• Expertise in RAG pipelines, embeddings, vector databases, semantic search, and hybrid retrieval
• Experience with Model Context Protocol (MCP) and tool orchestration
• Strong knowledge of REST APIs, gRPC, OAuth/SAML, event-driven architecture, and enterprise integrations
• Experience building AI evaluation frameworks, observability, and quality monitoring
• Familiarity with Kubernetes, containerized AI deployments, Kafka/Flink, and enterprise AI platforms is a plus

Preferred Qualifications

• Experience deploying AI applications at enterprise scale
• Experience in Telecom, Financial Services, Healthcare, or other regulated industries
• Strong business acumen with the ability to translate business requirements into AI solutions
• Excellent communication and stakeholder management skills

Primary Technologies

Python | Generative AI | GPT-4 | Claude | Gemini | LangGraph | Google ADK | CrewAI | RAG | Vector Databases | MCP | REST APIs | OAuth | Kubernetes | Kafka | AI Evaluation | Enterprise AI Integration

This role is ideal for engineers passionate about building scalable, production-grade AI solutions that deliver measurable business value.