About the Role
Tiger Analytics is seeking a skilled AI Engineer to build high-performance API services and implement complex RAG and Agentic AI architectures, leveraging Python, AWS, and Generative AI.
Responsibilities
- Building high-performance API services
- Implementing complex RAG and Agentic AI architectures
- Designing and implementing end-to-end RAG pipelines, including retrievers, vector stores, and generators
- Optimizing latency and relevance for production-grade performance
- Developing autonomous or semi-autonomous agents using frameworks like LangChain, CrewAI, or Semantic Kernel
- Managing orchestration, tool integration, and error handling for AI outputs
- Managing memory and context in multi-turn interactions and external API interfacing
- Using evaluation frameworks to assess performance, grounding accuracy, and hallucination detection
- Iterating systems based on performance metrics and continuous improvement practices
Requirements
- Minimum of 7+ years of professional experience in software development and AI engineering
- Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers
- Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem
- Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure
- Strong Python programming skills
- Deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration
- Experience working with Bedrock Agent/Core services is a significant plus
- Strategic approach to document chunking and embedding
- Familiarity with evaluation frameworks (e.g., RAGAS, TruLens)
Skills
- Python
- AWS
- Generative AI
- API services
- RAG
- Agentic AI
- DevOps
- CI/CD
- ML pipelines
- OpenAI API
- JSON RESTful design
- LLM orchestration
- AWS Bedrock
- LangChain
- CrewAI
- Semantic Kernel
- Pinecone
- Weaviate
- pgvector
- RAGAS
- TruLens
Location
- US
- Canada
- UK
- India
- Singapore
- Australia
Work Type
- Full-time
Experience Level
- 7+ years
About the Company
- Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges.
- We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale.
- We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively.
- Our purpose is to provide certainty to shape a better tomorrow.
- Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.
- We are a Great Place to Work-Certified™ company, recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others.
Equal Opportunity
- Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
