** Urgent ** Full Stack Engineer - Customer Success (AI) / Client Facing / Implementation / 5-8 years of Exp / Gen AI/Python/Javascript

Company Description

Senzcraft, founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a niche AI & Automation company. Senzcraft vision is to Radically Simplify Today's Work with AI And design Business Process for the Future using AI & intelligent process automation technologies. At Senzcraft, we help enterprises unlock value through AI, automation, and intelligent data platforms. We have a suite of SaaS products and services, partnering with automation product companies.

For more details:

Please visit our website - https://www.senzcraft.com

Our Intelligent Document Processing SaaS platform https://www.doqumate.com

Our AI Operations SaaS platform https://MagicOps.ai

Senzcraft on LinkedIn -> https://www.linkedin.com/company/senzcraft

Senzcraft is awarded by Analytics India Magazine in its report State of AI in India 2022 as a Niche AI startup. Senzcraft is also recognized by NY based SSON as a top hyper automation solutions provider.

Role Description

This is a full-time, on-site role in Bengaluru for a Full Stack Engineer with a focus on Artificial Intelligence, client-facing solutions, and implementation. The role involves designing, developing, and deploying end-to-end software applications, integrating AI-based technologies, and collaborating with cross-functional teams to deliver tailored solutions. Day-to-day tasks include working on both front-end and back-end development, creating scalable software architectures, and ensuring high-quality implementation that meets client requirements.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation.
• Customer facing role with Product Implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

Experience: 3+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.

Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)

Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.

Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.

Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).

Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.

Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.