Bengaluru, India
5 days ago
AI Architect/ Senior AI Engineer_ LLMOps_ 6 to 10 yrs

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're 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 casesStrong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)Should have worked on proprietary and open-source large language modelsExperience on LLM fine tuning, creating distilled model from hosted LLMsBuilding data pipelines for model trainingExperience on model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observabilityExperience in GenAI application deployment on cloud and on-premises at scale for productionExperience in creating CI/CD pipelinesWorking knowledge on KubernetesExperience in minimum one cloud: AWS / GCP / Azure to deploy AI servicesExperience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGenExperience in light weight UI development using streamlit or chainlit (optional)Desired experience on open-source tools for ML development, deployment, observability, and integrationBackground on DevOps and MLOps will be a plusExperience working on collaborative code versioning tools like GitHub/GitLabTeam player with good communication and presentation skills

EDUCATION:

B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

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