Forward Deployment Engineer

SourcingXPress; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Tenarai is seeking a Forward Deployment Engineer (FDE) – AI/GenAI to collaborate with customers in designing, building, deploying, and scaling production-ready AI solutions. You will drive AI deployments from POC to production, ensuring security, reliability, and measurable outcomes.

The role blends AI engineering, solution architecture, and customer engagement, requiring hands-on GenAI/LLM experience and strong design and deployment skills.

Qualifications

• Minimum 5+ years in software/AI engineering or related roles.
• Proficient in Python and modern software dev practices.
• Hands-on with GenAI/LLM apps and production deployments.
• Strong understanding of RAG, agentic AI and orchestration.
• Experience with APIs, microservices, and cloud platforms.
• Ability to work with customers in a delivery setting.
• Strong system design, reliability, and observability.
• Able to translate business problems into technical architecture.

Responsibilities

• Design and deploy production AI/GenAI solutions in customer environments.
• Build agentic AI applications using RAG, LLM calls, and orchestration.
• Understand customer requirements and map to technical solutions.
• Collaborate with customer engineering and business teams during rollout.
• Lead production deployment from POC to production and drive adoption.
• Ensure reliable systems with monitoring, logging, and safe failure modes.
• Optimize AI apps for performance and cost.
• Establish deployment, evaluation, and monitoring frameworks.
• Collaborate with AI, Platform, and Product teams.
• Communicate architecture and risks to stakeholders.
• Handover deployed solutions with documentation and support plans.
• Mentor engineers on best production practices.

Skills

Five plus years of experience

Python

GenAI/LLM deployments

RAG and Agentic AI

LLM orchestration

APIs and microservices

Cloud platforms

Customer delivery

System design

Translating business to tech

Tools

FastAPI

LangChain

LlamaIndex

Semantic Kernel

Job description

Job Description

We are looking for a Forward

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

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.