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Lead AI Engineer
Location: Bangalore/Hyderabad/Kochi | Experience: 8+ Years
About ThoughtFocus
ThoughtFocus is a global IT services and solutions company with deep capabilities across Data & Analytics, Cloud, Modern Engineering, and Financial Services technology. Headquartered in the US with delivery centers in India, we partner with leading enterprises to build scalable, future-ready technology solutions. Our teams are built on a culture of ownership, expertise, and long-term client partnerships — and talent is at the heart of how we grow. - https://thoughtfocus.com/
Role Overview
We are looking for an Lead AI Engineer with strong programming fundamentals and hands-on experience in Agentic AI development. The ideal candidate should be language-agnostic and capable of working across multiple technologies, with expertise in any of the following programming languages: Python, Java, C#, or C++.
This role requires solid experience in system design, OOP principles, REST API development, and building scalable AI-driven applications.
Key Responsibilities
Required Skills (Must Have)
Preferred (Good to Have)
Ideal Candidate
Job ID: 149556955
Skills:
Jax, Pytorch, Python, Cuda, TensorRT, flamingo, Ray, CLIP, MoveIt 2, VLMs, LDM, ROS2, deep-learning, LLaVA, DDPM, DeepSpeed, BLIP-2, controlnet, multimodal transformers, PyTorch Lightning, Nav2, Open3D, ONNX Runtime, synthetic data generation, diffusion models
Skills:
Microsoft Azure, LangGraph, AI ML solutions, generative AI, image generation models, agent-based systems
Skills:
Github, Datadog, New Relic, Azure Functions, Docker, FastAPI, Python, Azure DevOps, LangChain, Pinecone, Azure OpenAI, Azure Container Apps, Semantic Kernel, AutoGen, OpenTelemetry, FAISS, Azure AI Studio, Azure AI Search, Application Insights, Azure Monitor, Weaviate
Skills:
snowflake , Sql, Amazon CloudWatch, AWS, Python, Docker, Git, LangSmith, API frameworks, Langfuse, MLflow, LLM systems, Snowpark, Snowflake Cortex, OpenTelemetry, Amazon Bedrock, AgentCore, LangChain, LangGraph
Skills:
Machine Learning, Tensorflow, Pytorch, Docker, Python, AWS, Java, Natural Language Processing, Scala, Deep Learning, MLops, Gcp, Azure, Kubernetes, Computer Vision, Hugging Face, Go, Pinecone, Retrieval-Augmented Generation, Vector Databases, Large Language Models, Generative AI, FAISS, Transformers
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