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.