Description

Job Description

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field
• 8+ years of software engineering, machine/deep learning engineering, or applied AI experience
• 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production
• Strong programming skills in Python and experience with backend/API development
• Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design
• Experience in optimizing RAG pipelines using both structured and unstructured data
• Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent
• Experience in generative AI techniques such as GANs, and VAEs
• Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search
• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience with Docker, Kubernetes, CI/CD, and production deployment practices
• Strong understanding of software architecture, scalability, reliability, and distributed systems
• Experience building evaluation, testing, and monitoring for AI systems
• Strong communication skills and ability to work closely with technical and non-technical stakeholder

Preferred Qualifications

• Experience fine-tuning or adapting open-source LLMs
• Advanced knowledge of natural language processing for text generation tasks
• Experience with PyTorch, TensorFlow, JAX, or related ML frameworks
• Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar
• Experience building multi-agent systems or advanced orchestration workflows
• Experience with AI safety, guardrails, red-teaming, privacy, and governance
• Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems
• Experience in customer-facing or enterprise SaaS products
• Experience in semiconductor/manufacturing, retail and e-commerce sectors

Key Skills

Education

Any Graduate