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Weya AIPosted 4 months ago

Senior Forward Deployment Engineer

RemoteNoida, Uttar Pradesh, India

Part TimeSenior LevelStartup

Job Summary

Lead end-to-end deployment of AI solutions at client sites, from requirement gathering through production rollout. Act as the primary technical point of contact for enterprise customers during onboarding and delivery phases, translating 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, while customizing AI workflows and prompts to meet specific use cases. Debug, optimize, and monitor deployed systems to ensure reliability and scalability, preparing technical documentation and solution architecture diagrams. Collaborate with product and engineering teams to provide client feedback, supporting pre-sales efforts with technical demonstrations when required. This role involves working directly with banks, NBFCs, and fintech companies to deliver 24/7 responsive AI agents, requiring strong proficiency in regional languages like Tamil, Telugu, and Kannada, along with the ability to travel to client sites as needed.

Required Qualifications

  • 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

Desired Qualifications

  • 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

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