Gen AI Engineer
About The Position
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. We are looking for a highly skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Requirements
- Minimum of 7+ years of professional experience in software development and AI engineering.
- Strong Python programming skills.
- Deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration.
- 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.
- Expertise in latency optimization and relevance tuning.
- Strategic approach to document chunking and embedding.
- Practical experience developing autonomous or semi-autonomous agents.
- Proficiency in managing memory and context.
- Familiarity with evaluation frameworks (e.g., RAGAS, TruLens).
Nice To Haves
- Experience working with Bedrock Agent/Core services is a significant plus.
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 (e.g., Pinecone, Weaviate, or pgvector), and generators.
- Optimizing latency and relevance tuning for production-grade performance.
- Developing autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel.
- Managing orchestration, tool integration, and robust error handling for non-deterministic AI outputs.
- Managing memory and context (episodic vs. long-term) in multi-turn interactions and external API interfacing.
- Using evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection.
- Iterating systems based on performance metrics and continuous improvement practices.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
