LLM & Generative AI Engineer
SeQuere Technologies (company site, opens in a new tab)3+ yrsChandigarhOn-siteDirect career pageEst. 10–18 LPA
Posted on 3 Sept
Reach people at SeQuere Technologies
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at SeQuere Technologies you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own the development and maintenance of Retrieval-Augmented Generation (RAG) pipelines for enterprise AI products.
- Design and implement multi-agent orchestration systems using frameworks like LangChain or CrewAI.
- Integrate LLM APIs (OpenAI, Anthropic, Mistral) into scalable backend services and monitor systems for performance and cost efficiency.
Minimum Requirements
- 3+ years software engineering experience including 1+ years specifically in LLM/Generative AI.
- Proficiency with Python and API integrations.
- Experience with LangChain, LlamaIndex, or similar frameworks for generative AI workflows.
- Knowledge of vector databases such as Pinecone, Weaviate, or pgvector.
Ideal Candidate Profile
- Experienced in end-to-end AI product development from model integration to UI deployment, indicating full-stack capability.
- Practical exposure to prompt engineering and evaluation frameworks showing operational competence with LLM optimization.
- Comfortable working directly with clients to translate business needs into AI-driven solutions, suggesting strong domain and communication skills.