Senior AI Engineer

Senior AI Engineer

Work locations: Remote role           

Duration: 12 Months

About the Role

AI Engineer(s) with Typescript, Vibe Coding, and Claude (or Cursor).

What You’ll Do

Design and develop algorithms for generative models using deep learning techniques

Design and build LLM-powered applications for internal and/or customer-facing use cases

Develop and productionize RAG pipelinesusing enterprise data sources, vector databases, and retrieval systems

Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration

Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate

Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability

Implement prompt engineering, structured outputs, tool calling, and model optimization strategies

Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices

Build monitoring, observability, and feedback loops for model and application performance in production

Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems

Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities

Mentor other engineers and contribute to architecture, technical direction, and engineering best practices

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field

5+ 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, Google Cloud Platform, 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