Gen AI Engineer (Backend, GenAI)

Surecomp

9h • Onsite

About The Position

RIVO is Surecomp’s flagship digital trade finance SaaS platform, serving global financial institutions with mission critical workflows. We are looking for a Backend Prompt Engineer with 4+ years of backend experience and proven hands on delivery of GenAI powered features in production environments. This is not a research or experimentation role. Prompt engineering at RIVO is system design. You will design reliable, scalable, production ready LLM workflows that power real customer facing capabilities inside a complex distributed platform. You will work closely with backend engineers, product managers, and architects to integrate LLM based intelligence into core business flows.

Requirements

• 4+ years of backend development experience with strong proficiency in Python.
• Proven hands on experience building and shipping GenAI powered features to production.
• Strong experience with Python GenAI frameworks such as LangChain, LangGraph, Strands, or similar orchestration frameworks.
• Experience integrating LLM APIs into live distributed systems.
• Experience implementing structured outputs, validation layers, and guardrails.
• Familiarity with evaluation frameworks and LLM quality measurement techniques.
• Experience building RESTful APIs.
• Strong understanding of clean architecture, scalability, and production best practices.

Nice To Haves

• Experience designing and implementing RAG pipelines.
• Experience with MCP servers, A2A architectures, or multi agent systems.
• Experience working with embeddings and vector databases.
• Proficiency in TypeScript (Node.js or ReactJS).
• Experience with AI observability, monitoring, and evaluation tooling.

Responsibilities

• Design, implement, and continuously improve prompts for LLM driven product features.
• Architect and develop backend services in Python.
• Integrate LLM APIs such as OpenAI, Anthropic, and AWS Bedrock into production systems.
• Implement structured output enforcement, schema validation, and response normalization.
• Design robust error handling, fallback strategies, retries, and resiliency mechanisms.
• Optimize latency, token usage, throughput, and API cost efficiency.
• Build evaluation frameworks and quality control pipelines for AI outputs.
• Collaborate with Product and Engineering teams to deliver AI features end to end within RIVO.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed