Company: Tenarai
Website: Visit Website
LinkedIn: Visit LinkedIn
Business Type: Enterprise
Company Type: Product & Service
Business Model: B2B
Funding Stage: Series A
Industry: Information Technology
Salary Range: ₹ 30-45 Lacs PA
Job Description
We are looking for a Forward
Deployment Engineer (FDE) – AI/GenAI who can work closely with customers to design, build, deploy, and scale production-ready AI solutions.
The role combines AI/GenAI engineering, solution architecture, customer engagement, and production deployment. You will take AI solutions from POC to production and ensure they are secure, scalable, reliable, and measurable.
Key Responsibilities
- Design and deploy production-ready AI and GenAI solutions in customer environments.
- Build Agentic AI applications using RAG, LLMs, tool/function calling, orchestration, and multi-step workflows.
- Understand customer requirements and convert business problems into practical technical solutions.
- Work directly with customer engineering and business teams during discovery, implementation, and rollout.
- Take AI solutions from POC to production and drive adoption.
- Design reliable systems with proper monitoring, logging, error handling, retries, fallbacks, and safe failure mechanisms.
- Optimize AI applications for performance, latency, scalability, and cost.
- Establish deployment, evaluation, and monitoring frameworks for AI systems.
- Collaborate with AI Engineers, Platform Engineers, and Product/Research teams.
- Communicate technical architecture, risks, trade-offs, and progress to technical and non-technical stakeholders.
- Ensure smooth handover of deployed solutions to customer/platform teams with proper documentation and operational support plans.
- Mentor engineers on production-grade AI development and deployment practices.
Required Skills
- 5+ years of experience in Software Engineering / AI Engineering / Solutions Engineering / Technical Consulting.
- Strong experience with Python and modern software development practices.
- Hands-on experience building and deploying GenAI/LLM applications.
- Strong understanding of RAG, Agentic AI, LLM orchestration, prompt engineering, and tool/function calling.
- Experience with APIs, microservices, cloud platforms, and production deployments.
- Experience working with customers or cross-functional teams in a delivery environment.
- Strong understanding of system design, scalability, reliability, monitoring, and observability.
- Ability to convert ambiguous business requirements into practical technical architectures.
Good to Have
- Experience with Azure / AWS / GCP.
- Experience with vector databases and AI frameworks.
- Experience with FastAPI, LangChain, LlamaIndex, Semantic Kernel or similar frameworks.
- Experience with LLM evaluation and AI observability.
- Experience with enterprise AI deployments.
- Experience mentoring engineers or leading technical delivery.
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