Job Description
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: Namakkal|
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
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, youll enjoy your career with us!
Not the right fitLet us know youre 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, youll enjoy your career with us!
Not the right fitLet us know youre 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!
Role: Technical Architect
Industry Type: Management Consulting
Department: Engineering – Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: Any Graduate
PG: Any Postgraduate