Job Summary

We are seeking a Forward Deployed Engineer (FDE) to design, build, and deploy production-grade AI solutions for enterprise customers. This is a hands-on engineering role that combines software development, AI systems, cloud infrastructure, and customer engagement. You will work closely with customer engineering teams to integrate AI into real-world business workflows while driving successful production deployments and continuously improving system performance.

Why Join Us?

- Build and deploy cutting-edge AI solutions at enterprise scale.
- Work on real-world applications involving LLMs, AI Agents, Voice AI, and RAG.
- Collaborate directly with customers while influencing future product development.

Key Responsibilities:

- Own end-to-end technical delivery from solution design through production deployment.
- Design scalable AI systems optimized for reliability, latency, accuracy, and cost.
- Build production-ready applications including AI agents, conversational AI, RAG pipelines, developer tooling, and enterprise integrations.
- Develop integration scripts, backend services, platform configurations, and troubleshoot production issues.
- Work closely with customer engineering teams on infrastructure, deployment, and integration requirements.
- Design evaluation frameworks, define success metrics, and continuously optimize AI system performance.
- Support multiple customer engagements across different industries and business use cases.
- Collaborate with internal Product and Research teams by sharing customer insights to influence future product enhancements.

Required Qualifications:

- Bachelor's or Master's degree in Computer Science,



Electrical Engineering, or a related technical field.
- 5-9 years of software engineering experience (flexible for exceptional candidates).
- Strong programming skills in Python and experience building production backend services.
- Solid understanding of:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents & Agentic Workflows
- Context Engineering
- Tool Calling & Structured Outputs
- Experience with frameworks such as LangGraph, LlamaIndex, Google ADK, or similar.
- Experience working with both open-source and commercial LLMs.
- Strong knowledge of distributed systems, architecture, scalability, and production reliability.
- Experience with messaging systems like Kafka, Amazon SQS, or equivalent.
- Hands-on experience with AWS, GCP, or Azure.
- Experience designing AI evaluation frameworks and performance metrics.
- Excellent problem-solving, debugging, and communication skills.
- Ability to work independently in a quick-paced, customer-facing environment.

Preferred Qualifications:

- Experience deploying AI agents into production.
- Experience with Voice AI or Conversational AI platforms.
- Experience delivering AI solutions for regulated industries (BFSI, Healthcare, Government).
- Exposure to on-premise or VPC deployments.
- Open-source contributions, personal AI projects, or shipped AI products.
- Previous experience in Solutions Engineering, Deployment Engineering, or customer-facing technical roles.
- Passion for experimenting with emerging AI technologies and frameworks.

? Interested candidates, please share your profile at: [email protected] OR apply directly.

📌 Forward Deployed Engineer (Ahmedabad)
🏢 Careernet
📍 Ahmedabad