Senior Forward Deployment Engineer

This is a remote position.

Requirements

• Lead end-to-end deployment of AI solutions at client sites, from requirement gathering to production rollout.
  
• Act as the primary technical point of contact for enterprise customers during onboarding and delivery phases.
  
• Translate business problems into technical solutions using AI models, APIs, and system integrations.
  
• Design, develop, and maintain backend services and deployment pipelines using Go and Python.
  
• Integrate third-party tools, platforms, and data sources using REST APIs, webhooks, and SDKs.
  
• Customize AI workflows, prompts, and pipelines to meet client-specific use cases.
  
• Debug, optimize, and monitor deployed systems to ensure reliability, performance, and scalability.
  
• Collaborate with product, AI/ML, and engineering teams to provide client feedback and improve platform capabilities.
  
• Prepare technical documentation, solution architecture diagrams, and deployment guides.
  
• Support pre-sales efforts when required by providing technical demonstrations and solution design inputs.
  

• 4+ years of experience in software engineering, delivery or forward deployment roles.
  
• Strong proficiency in regional languages, especially Tamil/Telugu/Kannada.​
  
• Strong written, verbal, and active listening skills
  
• Strong hands-on coding experience in Go and Python.
  
• Excellent understanding of AI/ML concepts, LLMs, AI agents, and production AI systems.
  
• Proven experience working with APIs, system integrations, microservices, and cloud-based deployments.
  
• Strong grasp of RESTful services, authentication methods, data pipelines, and event-driven systems.
  
• Exceptional communication and client-handling skills – able to explain complex technical topics to non technical stakeholders.
  
• Experience working directly with enterprise customers or external clients in delivery-focused roles.
  
• Ability to work independently in fast-paced, ambiguous environments.
  
• Willingness to travel to client sites (intra-city and inter-city), as required.
  

• Experience with cloud platforms (AWS / GCP / Azure).
  
• Familiarity with Docker, Kubernetes, CI/CD pipelines.
  
• Prior experience in AI product companies or SaaS deployments.
  
• Exposure to security best practices and compliance in enterprise environments.
  

Benefits

• Opportunity to work on cutting-edge AI deployments with real-world impact.
  
• High ownership, visibility, and client interaction.
  
• Fast-growing AI-first organization with strong learning opportunities.
  
• Competitive compensation and growth-oriented career path.
  

If you want to build the future, move fast, and produce impact, weya AI is the place for you!!
If you think you're a right fit, join the crew and contribute your best in great projects to solve real problems!