Lead AI Engineer
Weekday AI
Senior AI Engineer
Weekday AIยท Weekday's Client via platform
About this role
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฐ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฑ-๐ฐ๐ฌ ๐๐ฃ๐)
Experience: 6+ yrs
Location: Bengaluru, Karnataka, India
Job Type: Full-time
We are looking for an experiencedย Senior AI Engineerย to design, develop, and deploy production-readyย Generative AI, RAG, and Agentic AI solutionsย across modern cloud environments. This role combines hands-on AI engineering, solution architecture, cloud deployment, model optimization, and technical mentoring.
The ideal candidate will have strong expertise inย Python, LangChain, LangGraph, MCP, RAG, Agentic AI, Gemini, Vertex AI, FastAPI, Docker, and Kubernetes, along with practical experience building enterprise-grade AI applications onย GCP and Azure.
You will work closely with engineering, product, and business teams to transform complex business requirements into scalable AI solutions while ensuring reliability, security, performance, and cost efficiency.
Key Responsibilities
- Design and developย RAG, autonomous-agent, and multi-agent AI solutionsย using LangGraph, LangChain, MCP, and advanced prompt-engineering techniques.
- Build enterprise AI workflows integratingย n8n, Python, APIs, databases, and external systems.
- Develop AI applications usingย Gemini, Vertex AI, Agent Builder, Model Garden, and Vertex AI Search & Conversation.
- Implement data cleansing, chunking, embeddings, vector search, and retrieval pipelines.
- Build CDC-based solutions for real-time data synchronization and AI workloads.
- Develop and deploy production AI services usingย Python, FastAPI, Docker, and Kubernetes/GKE.
- Fine-tune LLMs and SLMs, including models such as Gemma, usingย PEFT, LoRA, and QLoRA.
- Evaluate AI models for quality, accuracy, performance, latency, scalability, and cost.
- Develop interactive AI interfaces and prototypes usingย Gradio and Streamlit.
- Implement CI/CD, MLOps, LLMOps, monitoring, observability, and production deployment practices.
- Work acrossย GCP and Azureย to build scalable and secure enterprise AI solutions.
- Collaborate with engineering, product, and business stakeholders to understand requirements and deliver effective AI solutions.
- Mentor junior AI/ML engineers and contribute to technical standards, architecture decisions, and engineering best practices.
What Makes You a Great Fit
- 6+ years of experienceย in AI/ML Engineering, Software Engineering, or a related field.
- Strong hands-on programming experience withย Pythonย and familiarity with PyTorch, TensorFlow, or Scikit-learn.
- Proven experience building and deployingย Generative AI, RAG, and Agentic AIย solutions.
- Strong knowledge ofย LangGraph, LangChain, MCP, prompt engineering, and multi-agent architectures.
- Hands-on experience withย GCP and Azureย for enterprise AI workloads.
- Experience withย Vertex AI, Gemini API, Vertex AI Pipelines, and Gemini Code Assist.
- Strong understanding ofย n8n, FastAPI, Docker, Kubernetes/GKE, APIs, databases, and vector stores.
- Experience withย Azure DevOps, Argo Workflows, CI/CD, MLOps, and LLMOps.
- Practical knowledge ofย PEFT, LoRA/QLoRA, model evaluation, and optimization.
- Experience working with real-time data, CDC, embeddings, and vector-search technologies.
- Strong understanding of production AI deployment, monitoring, scalability, and cost optimization.
- Excellent problem-solving, communication, stakeholder-management, and technical mentoring skills.
- Relevant AI/ML certifications and experience deliveringย large-scale production AI solutionsย would be an advantage.
Frequently Asked Questions
Is the salary disclosed for the Senior AI Engineer position at Weekday AI?
The salary for this Senior AI Engineer role at Weekday AI is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior AI Engineer position at Weekday AI located?
This Senior AI Engineer role at Weekday AI is based in Bengaluru, Karnataka, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior AI Engineer role at Weekday AI full-time or part-time?
This is listed as a Full time position. It is posted as a Senior AI Engineer role in the Weekday's Client via platform department at Weekday AI.
Which team or department does the Senior AI Engineer at Weekday AI belong to?
This Senior AI Engineer position is part of the Weekday's Client via platform department at Weekday AI. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior AI Engineer position at Weekday AI?
Click the "Apply Now" button on this page. You will be redirected to Weekday AI's official application portal hosted on workable where you can submit your application directly.
When was the Senior AI Engineer job at Weekday AI posted?
This Senior AI Engineer position at Weekday AI was posted on Aug 17, 2026. Apply as soon as possible โ early applications are often reviewed first.
Senior AI Engineer
Weekday AI
You'll be redirected to Weekday AI's official application page on workable.