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Lead Software Engineer

Equifax
Thiruvananthapuram, IND
Full-time
Lead · 8+ years experience
Discovered 1 weeks ago

Full Job Posting

Schedule:

  • Full time

Qualifications

  • Hands-on experience with multi-agent orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, or custom graph-based agent state machines).
  • Hands-on experience with containerization (Docker, Kubernetes) and deploying cloud-native AI solutions on AWS, Azure, or GCP.

Responsibilities

  • Architect and build stateful multi-agent workflows (using ReAct, Plan-and-Solve patterns) where specialized LLM agents delegate tasks, manage short/long-term memory, and synthesize results.
  • Build robust, idempotent, and secure interfaces for LLM function-calling across enterprise software databases, ERPs, and CRMs.
  • Write clean, highly performant production code for the core orchestration layer, context-window optimization (routing, chunking, compression), and latency/cost management.
  • Implement deterministic semantic guardrails around LLM outputs to prevent hallucinations, prompt injection, and unauthorized API/tool calls.
  • Establish automated evaluation pipelines (LLM-as-a-judge, deterministic testing) and deep tracing observability to monitor multi-step agent reasoning and prevent infinite loops in production.
  • Guide an engineering squad through Architectural Decision Records (ADRs), pair programming, and code reviews while partnering with Delivery Managers on sprint planning.
  • What Experience You Need
  • 8+ years of core software engineering experience, with at least 2+ years building and deploying production-grade LLM applications / Generative AI systems.
  • Hands-on experience with multi-agent orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, or custom graph-based agent state machines).
  • Expert proficiency in Python (FastAPI/Pydantic) and experience with vector databases
  • Deep understanding of non-deterministic system testing, state management, semantic guardrails (e.g., Guardrails AI, NeMo Guardrails), and prompt security.
  • Hands-on experience with containerization (Docker, Kubernetes) and deploying cloud-native AI solutions on AWS, Azure, or GCP.
  • What Could Set You Apart )
  • Prior experience building multi-tenant AI platforms in regulated industries (FinTech, Financial Services, Data Analytics).
  • Contributions to open-source LLM/Agentic frameworks or publications in applied AI/ML.
  • Hands-on knowledge of enterprise fine-tuning, PEFT/LoRA, or custom embedding model training.
  • 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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