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About the Role
We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions — owning the journey from first conversation to live deployment.
Responsibilities
- Partner directly with clients to understand complex business problems and translate them into GenAI and Agentic AI solutions.
- Design, build, deploy, and scale LLM applications, RAG systems, AI agents, and multi-agent workflows.
- Integrate AI solutions with enterprise data, APIs, databases, and business applications.
- Deploy, operate, and scale solutions in production cloud environments.
- Troubleshoot and optimize production systems for performance, scalability, reliability, security, and cost.
- Collaborate closely with architects, ML engineers, developers, and client stakeholders in fast-moving, ambiguous environments.
Requirements
- 7+ years in software engineering, application development, ML engineering, or AI engineering.
- Strong Python programming skills.
- Solid grasp of APIs, system design, databases, cloud-native applications, and production deployments.
- JavaScript/TypeScript experience is a plus.
- Proven experience building and deploying end-to-end GenAI and/or Agentic AI solutions.
- Hands-on experience with LLMs — OpenAI, Anthropic Claude, Google Gemini, and open-source models.
- Hands-on experience with RAG, vector databases, embeddings, tool/function calling, and AI agents.
- Experience with agent orchestration, multi-agent systems, or agentic workflows.
- Familiarity with frameworks such as LangGraph, LangChain, LlamaIndex, Google ADK, or similar.
- Working knowledge of MCP, A2A, or similar agent integration protocols.
- Hands-on experience with at least one major hyperscaler — AWS, Azure, or GCP.
- Exposure to LLM evaluation, observability, monitoring, guardrails, or LLMOps.
- Strong customer-facing communication and sharp problem-solving instincts.
- Comfortable operating independently, navigating ambiguity, and moving fast from problem → solution → production.
- Equally at home with business and technical stakeholders.
Skills
- Gen AI
- Agentic AI
- LLM applications
- RAG systems
- AI agents
- Multi-agent workflows
- Python
- APIs
- System design
- Databases
- Cloud-native applications
- Production deployments
- JavaScript
- TypeScript
- OpenAI
- Anthropic Claude
- Google Gemini
- Open-source models
- Vector databases
- Embeddings
- Tool/function calling
- LangGraph
- LangChain
- LlamaIndex
- Google ADK
- MCP
- A2A
- AWS
- Azure
- GCP
- Amazon Bedrock
- OpenSearch Serverless
- Bedrock Guardrails
- Azure OpenAI Service
- Azure AI Search
- Azure AI Foundry
- Semantic Kernel
- Vertex AI
- Vertex AI Vector Search
- BigQuery
- Gemini APIs
- LLM evaluation
- Observability
- Monitoring
- Guardrails
- LLMOps
Experience Level
- 7+ years
About the Company
- Tiger Analytics is a fast-growing advanced analytics consulting firm.
- Our employees bring deep expertise in Machine Learning, Data Science, and AI.
- We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
- Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
- We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
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.