Weekday (YC W21)
Website:
weekday.works
Job details:
This role is for one of the Weekday's clients
Salary range: Rs 2200000 - Rs 3000000 (ie INR 22-30 LPA)
Min Experience: 5 years
Location: Bangalore, Chennai, Hyderabad, Pune
JobType: full-time
We are seeking an experienced
Python AI Engineer to design, build, and deploy advanced AI applications powered by modern
Retrieval-Augmented Generation (RAG) architectures and
Agentic AI systems. In this role, you will work at the intersection of backend engineering, AI infrastructure, and large language models to develop intelligent systems that augment decision-making, automate workflows, and deliver contextual insights at scale.
You will play a key role in architecting robust AI pipelines, integrating enterprise data sources, and deploying scalable solutions on
Azure cloud infrastructure. The ideal candidate brings strong Python expertise, hands-on experience with RAG pipelines, and a deep understanding of building production-grade AI systems.
Requirements
Key Responsibilities
Design and develop scalable
AI applications and services using Python that leverage large language models and modern AI frameworks.
Build and optimize
Retrieval-Augmented Generation (RAG) pipelines that combine vector search, document retrieval, and generative models to produce accurate and context-aware responses.
Develop
Agentic AI systems capable of autonomous reasoning, planning, and tool usage to automate complex workflows.
Implement data ingestion, embedding generation, indexing, and retrieval pipelines for structured and unstructured enterprise data.
Design and deploy AI services on
Microsoft Azure, utilizing services such as Azure OpenAI, Azure AI Search, Azure Functions, and cloud-native infrastructure.
Integrate AI solutions with internal platforms, APIs, and enterprise systems to enable intelligent automation and data-driven decision-making.
Optimize performance, latency, and cost efficiency of AI models and pipelines in production environments.
Collaborate with product managers, data engineers, and platform teams to translate business requirements into scalable AI solutions.
Implement monitoring, evaluation, and guardrails to ensure model reliability, accuracy, and responsible AI usage.
Stay current with advancements in
LLMs, agent frameworks, and retrieval techniques, continuously improving system capabilities.
Required Skills And Experience
5-11 years of professional software development experience with strong proficiency in
Python.
Hands-on experience building and deploying
Retrieval-Augmented Generation (RAG) systems in production environments.
Practical experience with
Agentic AI frameworks and building AI agents capable of multi-step reasoning and tool integration.
Experience designing and implementing
vector search and semantic retrieval pipelines.
Strong experience working with
Azure cloud services, particularly Azure OpenAI, Azure AI Search, and cloud-based AI infrastructure.
Proficiency with AI/ML frameworks and libraries such as LangChain, LlamaIndex, or similar tooling for building AI pipelines.
Experience integrating large language models with APIs, enterprise data sources, and backend services.
Strong understanding of
distributed systems, APIs, and scalable backend architecture.
Familiarity with containerization, CI/CD pipelines, and deploying AI workloads in production.
Preferred Qualifications
Experience building enterprise-grade
AI copilots, knowledge assistants, or automation agents.
Knowledge of vector databases and embedding models used for semantic search.
Experience with prompt engineering, evaluation frameworks, and model performance optimization.
Understanding of responsible AI practices, data security, and compliance considerations.
Click on Apply to know more.