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Weekday AI

Agentic AI Engineer

India
Level
Mid
Work type
Remote · India only

Not stated in the posting: salary, visa.

Open. First seen 2 October 2026.

Apply on the company's site →

What this role asks for

Standard for data science / ML roles

LLM · Machine Learning · PyTorch · Python · SQL

Common in data science / ML postings at any company.

Read against Weekday AI's other open postings on this site.

The team: Weekday's Client via platform HIRES STEADILY

This role is one of 215 open in Weekday's Client via platform. 106 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (75 of 215), CI/CD (62 of 215), AWS (58 of 215), SQL (58 of 215), Azure (49 of 215), GCP (39 of 215), LLM (39 of 215)

OTHER ROLES ON THIS TEAM

From the team and dates on Weekday AI's own job board.

About the role

This role is for one of Weekday’s clients

Min Experience: 5+ years
Location: Remote (India)
JobType: full-time

We're looking for a Senior Agentic AI/Generative AI Engineer to help architect our next-generation AI-driven products — from prototyping through production deployment. This is a customer-facing role where you'll move fluidly between solution architecture, hands-on engineering, and client conversations.

Requirements

Key Responsibilities:

  • Architect and build scalable Generative AI and agentic AI applications, end to end
  • Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems
  • Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous task agents, and RAG pipelines
  • Select, customize, fine-tune, and optimize state-of-the-art LLMs
  • Design and own full ML/GenAI pipelines — training, deployment, monitoring, lifecycle management
  • Build APIs, microservices, and integration frameworks to bring AI into enterprise products
  • Champion responsible AI practices — mitigating hallucinations, bias, and reliability risks
  • Partner directly with customers, product, and engineering to turn business needs into robust AI architecture
  • Mentor engineers and help shape our long-term AI platform strategy

Required Qualifications:

  • 6+ years in traditional ML, including 2+ years hands-on with Generative AI
  • Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems
  • Real-world experience with LangChain/LangGraph or similar agentic frameworks
  • Strong Python skills — API wrappers, third-party integrations, internal tooling
  • Solid foundation in Transformers, CNNs, RNNs — hands-on with TensorFlow, PyTorch, Scikit-learn
  • Experience with NLP, embedding models, and vector databases
  • Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source models
  • Experience designing distributed, cloud-native architectures (microservices, REST APIs)
  • Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes
  • MLOps/LLMOps experience — training, deployment, monitoring, lifecycle management
  • Excellent communication skills — you can translate technical depth for non-technical stakeholders
  • Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field
  • Comfort with startup pace and strong ownership mentality

Preferred Qualifications:

  • LLM fine-tuning experience (LoRA, RLHF, PEFT)
  • Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation)
  • AI observability/monitoring tool experience
  • Familiarity with AI governance and compliance (GDPR, SOC 2)
  • Prior consulting or solution-architecture experience shipping enterprise AI products
  • Background in financial services, healthcare, or insurance

Must-have skills

Agentic AI, Generative AI, Artificial Intelligence

Good-to-have skills

Machine Learning, LangChain, LangGraph

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