JOB SUMMARY

We are looking for a highly experienced Forward-Deployed AI Engineer who can work closely with customers, understand real-world business and technical requirements, and translate them into production-ready AI/ML solutions. This role combines AI engineering, software development, solution implementation, customer interaction, troubleshooting, and deployment.

KEY RESPONSIBILITIES

- Work directly with customers and technical stakeholders to understand business and technical requirements.
- Translate requirements into scalable AI/ML and software solutions.
- Design, develop, integrate, and deploy AI-powered applications.
- Work closely with platform, DevOps, and deployment teams to take solutions into production.
- Integrate AI/ML models with APIs, applications, databases, and enterprise systems.
- Build proof-of-concepts and rapidly convert them into production-ready implementations.
- Troubleshoot application, AI/ML, integration, and deployment issues.
- Participate in technical discovery, solution design, demonstrations, and customer discussions.
- Develop automation and reusable components to accelerate future deployments.
- Create technical documentation, deployment guides, and operational runbooks.




- Support onboarding, knowledge transfer, and technical training.
- Be willing to travel or work on-site when deployment requirements demand it.

SKILLS & QUALIFICATIONS

REQUIRED SKILLS

POSITIVE TO HAVE

- 8+ years in software engineering, AI/ML engineering, or a related technical field.
- Generative AI, LLMs, RAG, vector databases, or AI agents.
- Strong Python development experience.
- MLOps experience.
- Experience building and deploying AI/ML applications.
- Kubernetes/Helm-based deployments.
- Strong understanding of REST APIs, microservices, and integrations.
- Enterprise customer implementation experience.
- Experience with databases and data-processing pipelines.
- Solution engineering or technical consulting.
- Experience with AWS, Azure, or GCP.
- SaaS/product deployment experience.
- Docker and containerized application experience.
- Customer-site deployment experience.
- Working knowledge of Kubernetes.
- Strong Git, testing, CI/CD, and debugging fundamentals.
- Excellent customer-facing communication skills.
- Ability to turn ambiguous requirements into technical solutions.

📌 Forward-Deployed AI Engineer (Hyderabad)
🏢 Cinergy Technology
📍 Hyderabad