DepartmentTechnology, Information and Media, Technology, Information and Media
Company size51+ people
First seen1w ago
Last seen2d ago
This role is for one of our clients
About the company
Industry: Software Development
Requirements
Seniority level: Mid-Senior level
Min Experience: 5+ years
Location: Remote (India)
JobType: full-time
\n\n
Benefits
₹25,00,000 - ₹45,00,000 a year
We’re looking for a Agentic 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