The Role
Lead end-to-end deployment of AI solutions for enterprise clients, including requirements gathering, integrations, backend development, deployment pipelines, AI workflow customization, monitoring, debugging, and production rollout. Serve as the primary technical client contact, translate business needs into solutions, document architectures, collaborate with product and engineering teams, and support technical pre-sales demonstrations. Strong Go, Python, AI/ML, systems integration, and client communication skills are required.
Summary Generated by Built In
This is a remote position.
Job Title: Senior Forward Deployment Engineer
(with language expertise - English, Hindi, Tamil/Telugu/Kannada)
(with language expertise - English, Hindi, Tamil/Telugu/Kannada)
Experience: 4+ years
Type: Full-time
Location: Noida, Delhi NCR
Mode: Remote
Mode: Remote
About Weya AI
Weya AI is on a mission to revolutionize how businesses communicate with their customers. Our intelligent AI agents automate voice, WhatsApp, and email interactions - powering end-to-end support, collections, onboarding, and more for banks, NBFCs, and fintech companies. We are building the future of customer engagement: AI systems that talk like humans, operate at scale, and deliver 24/7 responsiveness with precision. If you’re looking to work on real-world AI problems with deep enterprise impact, weya AI is one of the most mission-driven startups you can join right now.
About the Role
We are looking for a Senior Forward Deployment Engineer to work closely with our enterprise clients and internal product teams to deliver AI-powered solutions in real-world environments. This is a highly client-facing, execution-driven role that blends engineering, problem-solving, and communication skills. You will act as the technical bridge between customers and our AI platform - understanding business requirements, integrating systems, deploying models, and ensuring successful adoption and outcomes.
Requirements
Key Responsibilities
- 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.
Required Skills & 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.
Good to Have
- 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
Why Join weya AI?
- 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.
To Apply
Directly apply here or send your CV to [email protected] with the subject line: Job Application – Senior Forward Deployment Engineer | Your Name | Your Location
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!
Skills Required
- 4+ years of experience in software engineering, delivery, or forward deployment roles
- Strong proficiency in regional languages, especially Tamil, Telugu, or Kannada
- Strong written, verbal, and active listening skills
- Hands-on coding experience in Go and Python
- Understanding of AI/ML concepts, LLMs, AI agents, and production AI systems
- Experience with APIs, system integrations, microservices, and cloud-based deployments
- Knowledge of RESTful services, authentication methods, data pipelines, and event-driven systems
- Exceptional communication and client-handling skills with nontechnical 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 as required
- Experience with AWS, GCP, or Azure
- Familiarity with Docker, Kubernetes, and CI/CD pipelines
- Prior experience in AI product companies or SaaS deployments
- Exposure to enterprise security best practices and compliance
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The Company
What We Do
weya AI builds intelligent customer-engagement agents that automate voice, WhatsApp, and email interactions. Its platform supports multilingual conversations, context-aware responses, CRM and support-tool integrations, real-time analytics, customizable workflows, and escalation to human agents. The company aims to help businesses deliver human-like customer support at scale, reducing operational costs while improving consistency, efficiency, and customer satisfaction across multiple communication channels.
