Software Engineer II

Posted 7 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Fintech • Consulting
The Role
Build, test, and deploy production-grade autonomous AI agents and stateful workflows. Develop API integrations, tool-calling schemas, memory systems, ingestion pipelines, hybrid search, error handling, evaluation frameworks, and observability capabilities. Optimize prompts, latency, relevance, and reliability while integrating enterprise databases, CRMs, and internal systems. The role requires strong Python software engineering, LLM orchestration, testing, CI/CD, and containerization experience.
Summary Generated by Built In

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

Equifax is looking for a hands-on Agentic AI Engineer to join our enterprise AI Platform team in Trivandrum. Working under the guidance of Lead Agentic Architects, you will build, test, and deploy autonomous AI agents capable of reasoning, multi-step planning, tool utilization, and execution in enterprise environments. In this role, you will transition AI prototypes into resilient production systems focusing on writing clean, performant code, optimizing LLM prompts, integrating APIs, and managing stateful agentic workflows.


What You’ll Do
  • 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-PECIND-Pune-Equifax Analytics-PEC

Function:

Function - Tech Dev and Client Services

Schedule:

Full time

Skills Required

  • 3–6 years of core software engineering experience
  • At least 1 year of hands-on experience building and deploying production-grade LLM applications, RAG pipelines, or agentic workflows
  • Strong proficiency in Python, including FastAPI, Pydantic, and Asyncio
  • Hands-on experience with LLM orchestration frameworks such as LangGraph, LangChain, AutoGen, or LlamaIndex
  • Experience writing JSON schemas for function calling and building REST or gRPC API wrappers
  • Experience working with vector databases
  • Experience using observability platforms for agent tracing, latency monitoring, and prompt evaluation
  • Experience with CI/CD, Git workflows, unit and integration testing, Docker containerization, and scalable software development
  • Hands-on experience with cloud-native AI services on GCP, including Vertex AI, ADK, or Model Armour
  • Exposure to semantic guardrails frameworks such as NeMo Guardrails or Guardrails AI
  • Familiarity with fine-tuning, embedding customization, or open-source local model deployment

Equifax Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Equifax Inc. and has not been reviewed or approved by Equifax Inc..

  • Retirement Support — Savings programs include a 401(k) with company matching and, in some contexts, profit-sharing or pension components. These are described as solid parts of the total package.
  • Parental & Family Support — Programs include paid parental leave for birth and non-birthing parents and adoption assistance. Company materials highlight these benefits as part of a family-supportive offering.
  • Flexible Benefits — Multiple medical plan choices, dental and vision options, FSAs/HSAs, and voluntary supplemental coverages enable customization. The company publishes plan summaries and SPDs to help compare cost and coverage by location and tier.

Equifax Inc. Insights

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The Company
HQ: Atlanta, GA
16,742 Employees

What We Do

At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward. Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. For more information, visit Equifax.com.

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