- Experience
- 0 – 3 years
- Pay
- Not disclosed
- Education
- Not specified
- Location
- Pune, India
- Work mode
- Hybrid
- Job type
- Full-time
About this role
TMLC builds secure AI systems for companies, such as tools for healthcare, education, finance and customer support. In this role you build apps powered by large language models. You work with senior engineers to turn business needs into working AI products.
What you will do
- Build apps using LLMs like OpenAI, Gemini and Claude
- Build RAG apps with vector databases and embeddings
- Build AI agents with LangChain, LangGraph or CrewAI
- Create APIs and backend services in Python and FastAPI
- Connect LLMs to databases, documents and business tools
- Test prompts, function calling and structured outputs
- Debug and improve the speed of AI apps
- Help deploy and monitor AI apps
What the employer expects
- 0-3 years of experience in software, AI/ML or GenAI
- Strong Python skills
- Basic knowledge of LLMs, prompts, embeddings and vector search
- Project work with LangChain, LangGraph, CrewAI or LlamaIndex
- Good understanding of REST APIs and JSON
- Familiarity with FastAPI or Flask
- Basic knowledge of PostgreSQL, MongoDB or MySQL
- Understanding of RAG, chunking and retrieval
Benefits
- Competitive pay linked to impact
- Work with Kaggle Grandmasters and top AI researchers
- Hybrid flexibility
- Learning culture through TMLC Academy
Skills
- Python
- FastAPI
- LangChain
- LangGraph
- RAG
- Vector databases (Chroma
- FAISS
- Qdrant
- Pinecone)
- LLMs (OpenAI
- Gemini
- Claude)
- PostgreSQL
- MongoDB
- Docker
Apply on the employer's site
The application opens on TMLC careers page. Dev Portal Notes does not collect your application or charge a fee.
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