Tiger Analytics · 22 hours ago
Full Stack Gen AI Engineer
United States
Full-time
Remote
Senior Level
7+ years expTiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. They are seeking a highly skilled Full Stack Gen AI Engineer responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures.
Artificial Intelligence (AI)PublishingConsultingBig DataAdvertisingAnalyticsMachine LearningNews
Responsibilities
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
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
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
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
Qualification
Required
Minimum of 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) (Most Critical)
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
Preferred
Experience working with Bedrock Agent/Core services is a significant plus
Company
Tiger Analytics
Tiger Analytics offers data analytics and predictive modeling solutions for retail, social media, and online advertising sectors.
5001-10000 employees
H1B Sponsorship
Tiger Analytics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (259)
2024 (158)
2023 (93)
2022 (176)
2021 (123)
2020 (64)
Funding
Current Stage
Late StageLeadership Team
M
Mahesh Kumar
Founder and CEO
Recent News
Hindu Business Line
2026-02-04
2025-10-22
Company data provided by crunchbase