Generative AI Engineer

You are part of a cross-functional consulting team that drives the adoption of Generative AI in every imaginable sector, working step-by-step with customers to understand business requirements to design then build bespoke GenAI solutions. 

• Build applications powered by LLMs (OpenAI, Claude, Mistral, etc.) using LangChain, LlamaIndex, and related GenAI frameworks. 
• Implement RAG pipelines with vector DBs (Pinecone, FAISS, pgvector, ChromaDB) for grounding LLM responses with internal knowledge 
• Develop multimodal AI solutions (text, audio, image) and build autonomous agents where relevant. 
• Drive MLOps excellence: CI/CD (ML pipelines), drift detection, canary releases, retraining schedules. 
• Design robust and reusable prompt templates using CoT, ReAct, Graph-of-Thought, and Agent flows. 
• Continuously improve model reliability, relevance, and UX by tuning prompt flows 
• Deploy GenAI models on AWS/GCP/Azure using services like SageMaker, Bedrock, Vertex AI 
• Ensure performance observability, security guardrails, and compliance (GDPR, Responsible AI) 
• Work with DevOps teams to integrate GenAI solutions into microservices and APIs (FastAPI/Flask) 
• Benchmark open-source and commercial LLMs for use-case fit and cost-performance tradeoffs 
• Evaluate fine-tuning strategies (PEFT, LoRA, RLHF) where applicable for proprietary use cases 
• Support solution architects and cross-functional teams in delivering PoCs and enterprise-grade rollouts 
• Document frameworks, best practices, risks, and learnings for future scaling 

Qualifications

• Bachelor’s/master's degree in computer science, AI, or a related field. 
• 5+ years of experience in NLP/ML/AI with at least 3 year hands-on in GenAI. 
• Strong coding skills in Python with frameworks like PyTorch, Hugging Face, LangChain, and LlamaIndex. 
• Proven experience with cloud-based AI services (AWS/GCP/Azure) and APIs (OpenAI, Anthropic, Hugging Face). 
• Experience with vector databases: Qdrant, pgvector, Pinecone, FAISS, Milvus, or Weaviate. 
• Familiarity with prompt engineering, transformer architectures, and embedding techniques. 
• Excellent communication skills, with the ability to convey complex technical concepts to both highly technical and also non-technical stakeholders. 
• Sharp problem-solving skills. 
  • Ability to collaborate with diverse teams.