Gen AI engineer

Overview

Job Title: AI/ML Engineer – LLMs, Agentic AI & API Integrations
Location: Bengaluru, India (Onsite)

About MoveInSync:
At MoveInSync, we are building a global enterprise-grade SaaS suite used by top companies like Google, Facebook, and other Fortune 100 organisations across 3 continents, for their employees’ corporate commute.
Our flagship product, WorkInSync, enables organisations to navigate the hybrid work model efficiently—streamlining everything from desk bookings to commute, meals, collaboration tools, and more.
We’re a Series C-funded company backed by leading investors like Qualcomm Ventures and Nexus Venture Partners, and we’ve scaled 10X in the last five years.

Impact at Scale: -
Serving over 700,000+ active users across Android, iOS, web, MS Teams, Slack, and more. - Our commute solution alone is 35% of Uber’s scale in India, powering over 4.5 million trips a month. - We work on real-world, high-scale problems in: - AI-driven Workspace & Seat Optimization - Indoor Navigation & Mapping - Real-time Tracking & Route Optimization - Business Process Automation with AI Agents - Big Data, Generative AI, and Applied Machine Learning

Role Overview:
We are looking for passionate and driven AI/ML Engineers to join our product engineering team. You’ll be responsible for designing, developing, and maintaining LLM-based systems, AI agents, and ML microservices that integrate seamlessly into our SaaS platform. This is a hands-on role requiring problem-solving skills, API-first thinking, and the ability to work with backend systems.
Note- The role is about developing, deploying, and maintaining AI tools in production, and not using AI tools for production features.

Key Responsibilities: -
Design, build, and integrate LLM-powered features, AI agents, and ML services into production systems.
Work across the software lifecycle: requirements gathering, design, coding, testing, and deployment. - Work extensively with APIs (REST, GraphQL, LangGraph, OpenAI platform API, Claude API, etc.) to orchestrate AI workflows.
Context engineering at scale. Management of verified facts vs unverified knowledge in agentic RAG systems.
Develop scalable AI microservices and integrate with existing Java/Spring Boot backend systems.
Implement prompt engineering, embeddings, RAG pipelines, and fine-tuning where needed.
Ensure performance, scalability, reliability, and security of AI services.
Collaborate with frontend, backend, QA, DevOps, and product teams in a fast-paced agile environment.
Own and deliver critical AI/ML modules in production.

Required Skills & Experience:
Fresher/1+ years of experience in applied AI/ML development OR strong academic/POC exposure in LLMs/ML.
Hands-on knowledge of: - LLMs & AI frameworks (LangChain, LlamaIndex, OpenAI API, HuggingFace)
API integrations and working with external AI/ML APIs
Basic Java/Spring Boot for backend collaboration - Databases: SQL (MySQL/PostgreSQL), exposure to vector databases (Pinecone, Weaviate, FAISS)
Strong computer science fundamentals – data structures, algorithms, design patterns. - Experience building highly scalable and available systems.
Understanding of cloud services (AWS/Azure/GCP) and containerised environments (Docker/Kubernetes).
Good to Have:
Experience building RAG pipelines, AI agents, or workflow orchestration. - Familiarity with Kafka/Redis for real-time AI event processing.
Exposure to MLOps practices (model deployment, monitoring, lifecycle management). - Knowledge of Python for ML/AI prototyping alongside Java for production integration.
Exposure to traditional ML/DL projects is a plus.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, AI/ML, Data Science, or equivalent practical experience. Experience in AI > your degree.
• Prior internship or project experience in Generative AI / Applied ML systems.