Job Description
Its fun to work in a company where people truly BELIEVE in what they are doing!
Were committed to bringing passion and customer focus to the business.
Its fun to work in a company where people truly BELIEVE in what they are doing!
Were committed to bringing passion and customer focus to the business.
Job Location:
Bangalore, Mumbai, Pune, Gurgaon, Chennai, Noida, Hyderabad, Coimbatore
Role Brief:
You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role
Required Qualifications:
6-10 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
Should have worked on proprietary and open-source large language models
Experience on LLM fine tuning, creating distilled model from hosted LLMs
Building data pipelines for model training
Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability
Experience in GenAI application deployment on cloud and on-premises at scale for production
Experience in creating CI/CD pipelines
Working knowledge on Kubernetes
Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
Experience in light weight UI development using streamlit or chainlit (optional)
Desired experience on open-source tools for ML development, deployment, observability, and integration
Background on DevOps and MLOps will be a plus
Experience working on collaborative code versioning tools like GitHub/GitLab
Team player with good communication and presentation skills
Were committed to bringing passion and customer focus to the business.
Its fun to work in a company where people truly BELIEVE in what they are doing!
Were committed to bringing passion and customer focus to the business.
Job Location:
Bangalore, Mumbai, Pune, Gurgaon, Chennai, Noida, Hyderabad, Coimbatore
Role Brief:
You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role
Required Qualifications:
6-10 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
Should have worked on proprietary and open-source large language models
Experience on LLM fine tuning, creating distilled model from hosted LLMs
Building data pipelines for model training
Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability
Experience in GenAI application deployment on cloud and on-premises at scale for production
Experience in creating CI/CD pipelines
Working knowledge on Kubernetes
Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
Experience in light weight UI development using streamlit or chainlit (optional)
Desired experience on open-source tools for ML development, deployment, observability, and integration
Background on DevOps and MLOps will be a plus
Experience working on collaborative code versioning tools like GitHub/GitLab
Team player with good communication and presentation skills
💡 Quick Summary
Seeking a career-building opportunity? The AI Architect/ Senior AI Engineer_ LLMOps_ 6 To 10 yrs position is now open for candidates interested in the Software Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
