Applied AI Engineer

Role: Applied AI Engineer

Location: Bangalore/Chennai - Hybrid

Exp: 4+ Years

Engagement: Full Time Hire

Budget: 20-30 LPA

Mandatory Technologies / Skill Set:

TypeScript, JavaScript, Python, strong DSA; nice-to-have Go; experience with LLMs, prompt engineering, RAG, function calling, AI agents; deep integration experience with REST/GraphQL APIs, webhooks, event-driven/pub-sub architectures, real-time systems, and large-scale data sync; cloud/serverless deployment (AWS Lambda, Google Cloud Functions); CI/CD, containers, observability; SQL, dashboards, data mapping, schema alignment, graph structures; Knowledge Graph development; telemetry/logging; MCP.

Soft Skills: Strong communication; 30% customer-facing; cross-functional collaboration with product, engineering, CS, support; strong customer empathy; ability to run demos, PoCs, workshops; coordination-heavy role.

Interview Rounds: 4 rounds Technical Round 1, Technical Round 2, Cultural Round, Founder's Final Round.

The Applied AI Engineering team ensures our customers get the optimal experience from Client. As customers go through their Client journey, they may identify need(s) for integration with existing enterprise systems/services, workflow/process automation or customization/enhancement of the Client platform capabilities to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals.

Your mission is to systematically help customers find value with Client by developing a thorough understanding of their needs, owning the coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development, and AI/ML skills to ensure our customers get the most out of the Client platform.

Forward Deployed Engineer

As a Forward Deployed Engineer at Client, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of Client with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers processes.

What You'll Do

• Customer-facing:

  30% working directly with customers

• Coding & Integration:

  70-80% hands-on technical implementation

• Build & Deploy Solutions:

  Design, develop, and launch AI agents, integrations, and automations that connect Client with customers existing tech stacks and workflows.

• Integrate Systems:

  Connect Client 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.

• Coding Skills:

  Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms. (Nice to have: Go)

• Design & Deploy AI Agents:

  Build and configure intelligent solutions leveraging snap-ins, connectors (AirSync), workflows, and AI agents on the Client platform to solve real customer problems.

• 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:

  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.

• Context-Aware Systems:

  Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.

• Communication and Customer Empathy:

  Strong written and verbal skills

• Background

  : Bachelor's or Master's degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus