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Tiger Analytics Inc.

Full Stack Gen AI Engineer

LocationDallas, Texas, United States
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentMLE
Company size5,001–10,000 people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have14
7+ years of professional experience in software development and AI engineering
Expert in building high-performance API/microservices using Python (FastAPI) deployed on AWS Fargate (ECS)
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 with a deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration
Ability to design and implement end-to-end RAG pipelines, including retrievers, vector stores, and generators
Expertise in latency optimization and relevance tuning
Strategic approach to document chunking and embedding
Practical experience developing autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel
Ability to manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs
Proficiency in managing memory and context in multi-turn interactions and external API interfacing
Familiarity with evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection
Ability to iterate systems based on performance metrics and continuous improvement practices
Nice to have1
Experience working with Bedrock Agent/Core services
Skills
Python
FastAPI
AWS
AWS Fargate
AWS ECS
AWS Bedrock
Generative AI
LLM APIs
LangChain
CrewAI
Semantic Kernel
Pinecone
Weaviate
pgvector
CI/CD
OpenAI API
JSON
RESTful design
ML pipelines
About Tiger Analytics
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.
Job Description
We are looking for a highly skilled Full Stack Gen 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.
Key Requirements:
•
Experience: Minimum of 7+ years of professional experience in software development and AI engineering.
•
API & Backend: Expert in building high-performance API / microservices using Python (FastAPI) deployed on AWS Fargate (ECS) (Most Critical).
•
Generative AI Integration: Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers.
•
Infrastructure & DevOps: Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem.
•
Agentic AI: Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure.
•
Technical Standards: Strong Python programming skills with a deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration.
•
Preferred Skills: Experience working with Bedrock Agent/Core services is a significant plus.
Core Focus Areas & Expectations
Candidates will be expected to demonstrate deep technical proficiency in the following areas:
1. Retrieval-Augmented Generation (RAG)
•
Ability to design and implement end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators.
•
Expertise in latency optimization and relevance tuning to ensure production-grade performance.
•
Strategic approach to document chunking and embedding, balancing granularity with semantic coherence.
2. Agent Development
•
Practical experience developing autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel.
•
Ability to manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs.
•
Proficiency in managing memory and context (episodic vs. long-term) in multi-turn interactions and external API interfacing.
3. Evaluation and Optimization
•
Familiarity with evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection.
•
Ability to iterate systems based on performance metrics and continuous improvement practices.
Why Join Us?
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Every individual comes with a different set of skills and qualities, so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.
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.
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