Description :

Role : 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 :

1. Translate ambiguous requirements into scalable AI systems

2. Identify edge cases and define or improve SOPs

3. 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 :

1. Understand applied research findings

2. Incorporate insights into AI agents and decision systems

Collaborate with software engineers to :

1. Build user-facing tools and interfaces

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

3. 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.