AI engineer at Weekday AI

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

0.0

Posted On

19 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Machine Learning, Natural Language Processing, Python, Large Language Models, Retrieval-Augmented Generation, LangChain, Vector Databases, Prompt Engineering, REST APIs, Microservices, Cloud Platforms, MLOps, CI/CD, Security, Chatbots

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Min Experience: 3 years Location: Bengaluru JobType: full-time We are looking for a highly skilled AI Engineer to design, build, and deploy intelligent systems powered by modern AI and Large Language Models (LLMs). In this role, you will work on cutting-edge use cases involving Retrieval-Augmented Generation (RAG), LangChain-based orchestration, and scalable AI solutions that drive real business impact. You will collaborate closely with product, engineering, and data teams to translate complex problems into production-ready AI applications. Key Responsibilities Design, develop, and deploy AI-driven applications using LLMs such as OpenAI, Anthropic, or open-source models. Build and optimize RAG pipelines by integrating vector databases, document loaders, retrievers, and prompt engineering techniques. Implement end-to-end AI workflows using LangChain, including chains, agents, tools, and memory components. Develop scalable backend services for AI systems using Python and modern frameworks. Fine-tune prompts and models to improve accuracy, relevance, and performance across use cases. Integrate AI solutions with existing systems, APIs, and data sources. Evaluate model outputs, mitigate hallucinations, and implement guardrails for responsible AI usage. Collaborate with cross-functional teams to understand requirements and deliver production-grade AI features. Monitor and optimize AI system performance, latency, and cost in production environments. Stay updated with the latest advancements in AI, LLM frameworks, and retrieval techniques. Required Skills & Qualifications 3–6 years of hands-on experience in AI, machine learning, or applied NLP. Strong proficiency in Python and experience building backend systems. Solid understanding of Large Language Models (LLMs) and their real-world applications. Hands-on experience with Retrieval-Augmented Generation (RAG) architectures. Proven expertise with LangChain for building AI workflows, agents, and chains. Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma). Strong knowledge of prompt engineering and evaluation techniques. Familiarity with REST APIs, microservices, and cloud platforms (AWS, GCP, or Azure). Ability to write clean, maintainable, and well-documented code. Good to Have Experience with LLM fine-tuning or embeddings optimization. Exposure to MLOps, CI/CD for AI systems, and monitoring tools. Knowledge of security, privacy, and compliance considerations in AI solutions. Experience building AI-powered chatbots, copilots, or knowledge assistants. Why Join Us Work on real-world AI problems with high impact and ownership. Opportunity to build next-generation AI products using modern frameworks. Collaborative and fast-paced environment with strong learning opportunities. Competitive compensation and growth-focused career path.

Responsibilities

The AI Engineer will design, develop, and deploy AI-driven applications using Large Language Models and build RAG pipelines. They will collaborate with cross-functional teams to deliver production-grade AI features and monitor system performance.