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