AI Developer

AI Developer (SDE-1/2/3) - Generative & Applied AI Systems

Role Overview:

We are seeking an AI Developer with hands-on experience in building, deploying, and

operating production-grade AI systems. The role spans classical machine learning, computer

vision, audio processing, and multi-layered Generative AI applications. The ideal candidate

combines strong engineering fundamentals with practical AI expertise and is comfortable

experimenting, iterating, and delivering reliable systems in evolving problem spaces.

Key Responsibilities:

● Build production-ready AI applications using Python and FastAPI.

● Design and implement LLM pipelines

● Develop and productionize multi-modal AI systems, spanning image processing, textual data processing and NLP, audio analysis, speech-to-text, and speech generation & generative AI and agent-based workflows

● Implement core ML-based estimation, scoring, and prediction systems.

● Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) to manage complex, multi-step AI workflows.

● Integrate AI systems with enterprise platforms, ensuring reliable data flows and system interoperability.

● Collaborate with product, domain, and engineering teams to:

● Translate ambiguous requirements into scalable AI systems

● Identify edge cases and define or improve SOPs

● Continuously explore, evaluate, and recommend emerging AI tools and technologies.

Cloud & Platform Responsibilities:

● Leverage GCP services, including:

● Vertex AI

● Cloud Run / Cloud Functions

● BigQuery

● Cloud Storage

● Deploy and manage AI services within CI/CD pipelines.

Generative AI & NLP:

Hands-on experience with

● OpenAI APIs

● Gemini APIs

● Hugging Face ecosystem

● LangChain and related frameworks

● AI frameworks like Pytorch, Tensorflow etc.

● Work with large, text-heavy datasets

● Stay current with emerging research in NLP, ML, and Generative AI, integrating best practices into production workflows.

Systems, Collaboration & Delivery:

● Experience in Python, SQL & python based frameworks (required) and JS, React (good

to have)

● Design clean, maintainable APIs and AI services.

● Work closely with domain experts to:

● Understand applied research findings

● Incorporate insights into AI agents and decision systems

● Collaborate with software engineers to:

● Build user-facing tools and interfaces

● Enable visualization, analysis, and interpretation of AI outputs based on business needs

● Ensure systems are robust, scalable, and aligned with long-term platform goals.

Role Expectations:

This role is suited for professionals who:

● Think in end-to-end systems, not isolated experiments.

● Can balance engineering discipline with experimentation.

● Are comfortable combining classical ML, deep learning, and GenAI.

● Take ownership from problem definition through production deployment.

● Maintain high standards for reliability, maintainability, and scalability.