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Job Description & How to Apply Below
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 product ionize 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., Lang Chain, Lang Graph, 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
● Big Query
● 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
● Lang Chain 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.
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