Generative AI Engineer

Generative AI Engineer Location: LATAM Type of Contract: Full-Time Salary Range: Market rates Language Requirements: Professional English Our client is seeking a skilled Generative AI Engineer with extensive experience building production-grade AI applications and scalable cloud-native solutions. You will play a key role in designing, developing, and deploying enterprise Generative AI platforms using modern LLM frameworks, AWS services, and event-driven architectures. Your work will directly impact the delivery of innovative AI-powered solutions that drive business efficiency and enhance customer outcomes. Key Responsibilities - Design, build, and deploy production-grade Generative AI applications using Python and modern AI frameworks. - Develop and optimize Retrieval-Augmented Generation (RAG) pipelines utilizing LangChain, LangSmith, vector databases, prompt engineering, and LLM orchestration. - Architect and deploy scalable cloud-native solutions on AWS using services such as Lambda, Bedrock, S3, DynamoDB, EC2, and Fargate. - Build and maintain RESTful APIs using FastAPI, Django, Flask, or similar Python frameworks. - Design and implement event-driven microservices using Kafka and distributed system best practices. - Collaborate with cross-functional teams in Agile environments to deliver high-quality AI solutions while communicating effectively with technical and business stakeholders. - Optimize application performance, reliability, and scalability across cloud infrastructure and AI workflows. Must-Have Qualifications - 7+ years of experience in Software Engineering, Data Engineering, AI Engineering, or a related technical field. - Expert-level proficiency in Python development. - Proven experience building and deploying production-grade Generative AI solutions. - Hands-on experience with LangChain, LangSmith, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and LLM orchestration. - Strong experience with AWS services including Lambda, Bedrock, S3, DynamoDB, EC2, and Fargate. - Experience developing APIs with FastAPI, Django, Flask, or similar frameworks. - Strong knowledge of Kafka, event-driven architectures, distributed systems, microservices, relational databases, and NoSQL databases. - Experience working in Agile development environments with excellent communication and stakeholder management skills. Preferred Qualifications - Experience designing and deploying multi-agent AI systems. - Hands-on experience with Anthropic Claude, OpenAI, Gemini, Llama, or other enterprise LLMs. - Experience with graph databases such as Neptune or Neo4j. - Knowledge of AI security, red teaming, and LLM vulnerability assessment. - Experience implementing AI governance, compliance, and responsible AI frameworks. - Experience using Terraform or other Infrastructure as Code (IaC) tools. - Experience with Apache Spark and large-scale distributed data processing. - Industry experience supporting fraud detection, financial services, telecommunications, or public sector AI solutions. Originally posted on Himalayas