- Senior
- Ufficio in Bangalore
- Participation in:
- Open-source LangChain or LlamaIndex contributions
- Kaggle/AI hackathons focused on GenAI
- Blogs or technical write-ups on LLM or Agentic patterns
- Translate business requirements into queries against a set of relational tables and produce reporting based on the needs.
- Work with data from on-premises and cloud-hosted DBs, including stored procedures, queries, performance tuning, etc, using Python, SQL
- Demonstrable ability to write automation script (using Python, Bash, etc.) to extract and curate data
- Prepare data and perform Data Modeling
- Experience level - Minimum 5+ years
- GitHub projects demonstrating:
- RAG pipelines
- AI Agents in FastAPI
- Slackbot integrations
- Agent collaboration via message protocols
- Hands-on proficiency with:
- Python, FastAPI, Redis, Kubernetes, Docker
- Ray Serve, LangChain Agents, Autogen, OpenAI API, FAISS, Pinecone
- Be familiar with machine learning algorithms
- Has worked on a non-trivial business problem using machine learning
- Possess good analytical and problem-solving skills with strong communication and the ability
- Ensure quality control by performing both automated and manual testing on deliverables, including performance tuning & stress testing
- Be team-oriented and can work well within a global team.
- Be comfortable expressing your ideas in meetings, design sessions, etc. working in a global, agile, collaborative environment. The candidate should expect to work in a global virtual team environment along with the team in San Jose, CA
- Be self-sufficient and show the ability to lead given the opportunity.
- Has a strong sense of ownership and accountability for work
- Possess excellent oral and written communication skills
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Candidarsi ora