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Software Engineer II

Equifax
Thiruvananthapuram, IND
Full-time
Mid · 3–6 years experience
Discovered 1 weeks ago

Full Job Posting

Schedule:

  • Full time

Qualifications

  • Hands-on experience with cloud-native AI services on GCP (Vertex AI, ADK, Model Armour)
  • Familiarity with fine-tuning techniques, embedding customization, or open-source local model deployment

Responsibilities

  • Implement stateful, multi-step agent behaviors using frameworks like LangGraph, AutoGen, or LlamaIndex. Optimize prompts using techniques like Chain-of-Thought (CoT) and ReAct.
  • Develop resilient API wrappers and strict JSON schemas for LLM tool-calling/function-calling, connecting agents safely to internal databases, CRMs, and enterprise systems.
  • Build context retention systems using short-term memory buffers and long-term vector/relational storage for multi-turn user interactions.
  • Build and maintain high-throughput ingestion pipelines; optimize search relevance using hybrid search, embeddings tuning, and re-ranking algorithms.
  • Implement error handling and retry mechanisms for rate limits, API failures, and hallucinations, enabling agents to self-correct or cleanly escalate to human operators.
  • Write deterministic software tests and LLM-as-a-judge evaluations. Utilize tracing tools (e.g., LangSmith, Phoenix) to debug reasoning paths, eliminate infinite loops, and optimize latency.
  • What Experience You Need
  • 3-6 years of core software engineering experience, with at least 1+ years hands-on experience building and deploying production-grade LLM applications, RAG pipelines, or Agentic workflows.
  • Strong proficiency in Python (FastAPI, Pydantic, Asyncio) and hands-on experience with LLM orchestration frameworks (LangGraph, LangChain, AutoGen, or LlamaIndex).
  • Experience writing JSON schemas for function calling, building REST/gRPC API wrappers, and working with vector databases
  • Experience using observability platforms for tracing agent execution, latency monitoring, and prompt evaluation.
  • Solid background in CI/CD, Git workflows, unit/integration testing, Docker containerization, and writing clean, scalable software.
  • What Could Set You Apart
  • Hands-on experience with cloud-native AI services on GCP (Vertex AI, ADK, Model Armour)
  • Exposure to semantic guardrails framework (e.g., NeMo Guardrails, Guardrails AI).
  • Familiarity with fine-tuning techniques, embedding customization, or open-source local model deployment
  • We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.
  • Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
  • Primary Location:
  • IND-Trivandrum-Equifax Analytics-PEC
  • IND-Pune-Equifax Analytics-PEC
  • Function:
  • Function - Tech Dev and Client Services

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