HT
Opportunity for Gen AI Engineer
Hinduja Tech Limited
India · On-site Full-time Mid Level 1w ago
About the role
Job Details
Gen AI Engineer
Location: Pune
Experience: 3 to 6 years
Skillsets we are looking for:
- Strong Python development experience with delivered GenAI/Agentic AI solutions/workflows.
- Hands‑on experience with LangChain, LangGraph.
- Practical usage of Copilot, ChatGPT, and open‑source LLMs.
- Experience in observability, tracing, and monitoring.
- Good understanding of RAG, embeddings, vector search, and LLM optimization.
- Working experience with Databricks (Repos, Jobs, Model Serving, MLflow, UC).
- Comfortable building UIs in Streamlit; exposure to React.js is a plus.
- Experience with SQL, NLP, Computer Vision, and Deep Learning algorithms- Secondary
- Strong debugging and problem‑solving skills across cloud‑based AI workloads.
IMPORTANT NOTICE: RECRUITMENT SCAM
We have noticed a recent recruitment scam in which fraudulent offer letters for "Full Stack .NET Developer" roles are being sent from the fake email address careers@hindujatech.co.in.
Please be aware that the communications from the above‑mentioned email ID are 𝗻𝗼𝘁 𝗳𝗿𝗼𝗺 𝗛𝗶𝗻𝗱𝘂𝗷𝗮 𝗧𝗲𝗰𝗵.
Important Facts:
- No Fees: Hinduja Tech never asks for money at any stage of the recruitment process, including mandatory training or equipment. Therefore, please do not make any payment to anyone who offer to provide you with employment at Hinduja Tech.
- Official Email ID / Domain: All official emails relating to employment from us are sent from careers@hindujatech.com and our domain name is “hindujatech.com”.
- Verification: We do not issue offer letters without a formal interview process.
If you have received a suspicious email or a demand for payment, please do not share any personal information or make any payments and report the same with concerned law enforcement authorities. Please stay vigilant.
Requirements
- Strong Python development experience with delivered GenAI/Agentic AI solutions/workflows.
- Hands-on experience with LangChain, LangGraph.
- Practical usage of Copilot, ChatGPT, and open-source LLMs.
- Experience in observability, tracing, and monitoring.
- Good understanding of RAG, embeddings, vector search, and LLM optimization.
- Working experience with Databricks (Repos, Jobs, Model Serving, MLflow, UC).
- Comfortable building UIs in Streamlit; exposure to React.js is a plus.
- Experience with SQL, NLP, Computer Vision, and Deep Learning algorithms.
- Strong debugging and problem-solving skills across cloud-based AI workloads.
Skills
AWS LambdaChatGPTCopilotDatabricksDeep LearningGenAILangGraphLangChainLLMMLflowNLPPythonRAGReact.jsStreamlitSQLUCVector Search
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