77 Job openings found

7 Opening(s)
6.0 Year(s) To 10.0 Year(s)
12.00 LPA TO 18.00 LPA
Job Details:   Job Title: Prompt Engineer  Experience:6 to 10 Years Type:Remote  | Full-time Employment Notice Period: Immediate to 30 Days   Role Overview: We are seeking skilled professionals with expertise in Prompt Engineering to enhance the performance and accuracy of Large Language Models (LLMs) across a variety of complex tasks, including intelligent data extraction from scanned documents and text automation.   Key Responsibilities: Design, test, and optimize ...
1 Opening(s)
1.0 Year(s) To 5.0 Year(s)
1.00 LPA TO 8.00 LPA
Hi,   Greetings from Vedita Ventures!   Hiring for Agenti AI Developer   Agentic AI Developer responsible for crafting intelligent, autonomous learning agents that evolve with user behavior. Build AI personalities and decision-making systems using Python, TensorFlow, PyTorch that guide students through personalized learning journeys.   Design and develop autonomous, goal-driven agents that adapt to student behavior patterns Build ...
3 Opening(s)
4.0 Year(s) To 6.0 Year(s)
12.00 LPA TO 15.00 LPA
  We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do: o Build and optimize document classification & information extraction pipelines o Build Agentic AI for FinTech usacases o Train/fine-tune NLP models (Transformers/LLMs) for classification tasks o Implement LLM ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
8.00 LPA TO 10.00 LPA
 About the Company A next-generation SaaS platform building advanced solutions in supply chain intelligence—covering Procurement, Distribution, Forecasting, Workflow Automation, and AI-driven copilots.The company moves fast, ships often, and prioritizes reliability. QA is treated as an engineering discipline, not a checkbox. This role is ideal for someone early in their career who wants ...
1 Opening(s)
6.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
What You’ll Do Design Intelligent Architectures: Lead the design of secure, scalable cloud-native and hybrid architectures optimised for AI innovation. Develop & Accelerate: Build GenAI components, multi-modal agents, fine-tune LLMs, and work on reusable modules using tools like LangGraph and LangChain, automate workflows using platforms like n8n. Cloud Leadership: Architect and implement solutions ...
1 Opening(s)
1.0 Year(s) To 2.0 Year(s)
Not Disclosed by Recruiter
What You’ll Do Build AI Modules: Develop and test GenAI components, RAG pipelines, and multi-modal agents using frameworks like LangChain/LangGraph. Experiment with LLMs: Work with OpenAI, Anthropic, Mistral, Phi, etc. Fine-tune prompts, optimise performance, and prototype new ideas. Automation & Integration: Build Python-based scripts and automate workflows using n8n and cloud-native tools. Cloud Exposure: ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
0.00 LPA TO 8.40 LPA
About the role We are building the analytics layer over our ERP app. You’ll own the analytics engineering core: modelling raw change-data into clean marts, instrumenting tests/docs, and shipping decision-grade dashboards that our users can reason over. Model the warehouse Design and implement stg_ , dim_ , fact_ , and mart_ layers in ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
20.00 LPA TO 25.00 LPA
Project Duration- 3 months (extendable 6 months) Rate-1.60 Lac Pm Exp- 4-7 yrs Bangalore Hybrid   Required Skills & Qualifications: Strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related GenAI technologies. Proficiency with Azure Databricks. Strong analytical, problem-solving, and stakeholder communication skills. Solid understanding of data governance frameworks, compliance, and internal controls. Experience in data quality rule development, profiling, and implementation. Experience with ...
1 Opening(s)
6.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Mandatory Skills: Champion the entire ML lifecycle, from data exploration and feature engineering to model selection, training, evaluation, deployment, and maintenance. Experience in developing application using LLM models, Generative AI Experience in using RAG, Fine Tuning LLM models (Llama, Gemma etc) Knowledge of Python, R,  or other AI/ML tools Knowledge AI/ML libraries frameworks like Langchain, Transformers, ...
1 Opening(s)
6.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 13.00 LPA
We are looking for a dynamic individual who not only meets the qualifications and experience outlined below but also brings a proactive and solution-oriented approach to the role. If you are excited about joining a forward-thinking company at the forefront of real estate technology.  Job Description: Draft comprehensive title opinions using the ...

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