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We are looking for an experienced Python GenAI / Machine Learning Engineer to join our growing AI team and help build next-generation AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and advanced machine learning solutions.
### Key Responsibilities:
• Design, develop, and deploy LLM-powered applications using RAG architectures
• Build AI agents and multi-agent systems using LangChain and LangGraph
• Develop scalable Python-based ML/AI solutions using PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas, and NumPy
• Implement vector search and semantic retrieval solutions using FAISS, Pinecone, or similar technologies
• Fine-tune, evaluate, and optimize LLMs through prompt engineering and advanced evaluation techniques
• Develop RESTful APIs using FastAPI or Flask
• Deploy and scale AI solutions on AWS, Azure, or GCP
• Implement MLOps/LLMOps best practices, CI/CD pipelines, monitoring, and governance controls
### Required Skills:
• Build AI agents and multi-agent systems using LangChain and LangGraph
• Develop scalable Python-based ML/AI solutions using PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas, and NumPy
• Implement vector search and semantic retrieval solutions using FAISS, Pinecone, or similar technologies
• Fine-tune, evaluate, and optimize LLMs through prompt engineering and advanced evaluation techniques
• Develop RESTful APIs using FastAPI or Flask
• Deploy and scale AI solutions on AWS, Azure, or GCP
• Implement MLOps/LLMOps best practices, CI/CD pipelines, monitoring, and governance controls
✅ 5+ years of Python development and Machine Learning experience
✅ 2+ years of hands-on experience with GenAI, RAG, and LLM applications
✅ Strong expertise in LangChain and/or LangGraph
✅ Experience with vector databases, semantic search, and retrieval systems
✅ Knowledge of Agentic AI, prompt engineering, and workflow orchestration
✅ Experience with Docker, Kubernetes, Git, and cloud deployment platforms
✅ Strong problem-solving and communication skills
### Preferred Qualifications:
✅ 2+ years of hands-on experience with GenAI, RAG, and LLM applications
✅ Strong expertise in LangChain and/or LangGraph
✅ Experience with vector databases, semantic search, and retrieval systems
✅ Knowledge of Agentic AI, prompt engineering, and workflow orchestration
✅ Experience with Docker, Kubernetes, Git, and cloud deployment platforms
✅ Strong problem-solving and communication skills
⭐ Experience with Azure OpenAI, LlamaIndex, LangSmith, or similar frameworks
⭐ Exposure to AI evaluation, monitoring, and guardrail frameworks
⭐ Contributions to open-source AI/ML projects
⭐ Experience integrating AI solutions with React-based applications
⭐ Exposure to AI evaluation, monitoring, and guardrail frameworks
⭐ Contributions to open-source AI/ML projects
⭐ Experience integrating AI solutions with React-based applications
Other open roles at Trackmind(2)
Trackmind
View company pageTrackmind closes the gap between AI strategy and production reality. We build the data pipelines, systems, and SAP integrations that make enterprise AI actually work. Founded in 2012.
Key team members

Sid Shah, FRSA

K. Deepak Narisety

Srinivas Meda

Josh Shaw
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