AI/Generative AI Tech Lead - Python, LLM & RAGPosition Overview Build and take AI and Generative AI solutions from prototype through production, applying Large Language Models, RAG, machine learning, and cloud technologies to real-world business problems. This Tech Lead role combines hands-on AI engineering with technical leadership, working alongside engineers, architects, data scientists, and business teams to develop scalable AI applications and integrate AI capabilities into enterprise platforms.
What You'll Do - Develop and implement AI/ML solutions.
- Build Generative AI applications using Large Language Models (LLMs), including Kiro or Claude.
- Develop RAG-based applications using document processing, embeddings, vector databases, and semantic search.
- Integrate LLMs such as OpenAI and AWS Bedrock or equivalent platforms.
- Develop AI-powered chatbots, virtual assistants, document summarization, classification, extraction, and knowledge-management solutions.
- Implement prompt engineering techniques and evaluate LLM responses for accuracy, relevance, and reliability.
- Build and integrate REST APIs and microservices to expose AI capabilities to enterprise applications.
- Work with structured and unstructured data and develop data-preparation and processing pipelines.
- Implement AI solutions using cloud services on AWS.
- Collaborate with senior engineers and architects to develop scalable and production-ready solutions.
- Participate in proof-of-concepts and rapidly evaluate emerging AI technologies.
- Develop unit tests, integration tests, and automated validation for AI applications.
- Monitor AI applications and troubleshoot performance, accuracy, and production issues.
- Follow enterprise standards for security, data privacy, responsible AI, and application development.
- Contribute to technical documentation, solution design, and knowledge-sharing activities.
- Manage a team of offshore AI Engineers.
Required Qualifications - 6-8 years of experience in software engineering, AI/ML, data science, or a related technology field.
- Experience with Machine Learning and/or Generative AI applications.
- Practical experience working with LLMs and prompt engineering, specifically Claude and Kiro.
- Experience building RAG applications using embeddings and vector search.
- Experience working with REST APIs and microservices.
- Familiarity with Git and CI/CD practices.
- Good understanding of software development lifecycle and Agile methodologies.
- Strong problem-solving and communication skills.
Preferred Qualifications - 2+ years of hands-on experience with AI/ML or Generative AI, including leading a team.
- Knowledge of AI agents and agentic workflows.
- Experience with Docker and Kubernetes.
- Familiarity with MLOps/LLMOps concepts.
- Experience with AI evaluation, guardrails, and responsible AI.
- Experience working with enterprise data or regulated industries such as banking, financial services, or insurance.
- Experience with technologies in the stated stack, including Python, SQL, NLP, PyTorch, TensorFlow, Scikit-learn, LangChain/LangGraph, vector databases, document stores, and CI/CD.
- Experience with LLM platforms such as Azure OpenAI, OpenAI, AWS Bedrock, or Google Vertex AI.
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