Software Engineer- AI Agentic Platform

We are seeking a
hands-on Engineering Lead
to drive the design and delivery of
agentic frameworks and Generative AI-powered products
. This role combines deep technical ownership with team leadership, focusing on building scalable, intelligent systems that power next-generation applications.

You will lead a cross-functional team across backend, frontend, data science, DevOps, and QA—while remaining actively involved in architecture, coding, and delivery.

What You’ll Do

Technical Leadership & Architecture

• Own end-to-end architecture for
  agentic frameworks and GenAI systems
  , including RAG, orchestration, memory, and guardrails
• Design and evolve
  scalable agent frameworks
  that enable autonomous workflows and decision-making
• Make strategic
  build vs. buy decisions
  and select tools/frameworks (LangGraph, DSPy, etc.)
• Architect
  event-driven, microservices-based systems
  using Python (FastAPI) and Node/TypeScript
• Build and integrate
  LLM-powered applications
  using APIs (OpenAI, Anthropic, Bedrock, Vertex AI)
• Implement secure, scalable
  API layers (REST, gRPC, WebSockets)
  with robust authentication (JWT/OAuth2)

Hands-on Development

• Stay
  50–60% hands-on
  , writing clean, production-grade, test-driven code
• Conduct
  code reviews
  , enforce best practices, and ensure high-quality delivery
• Troubleshoot and resolve complex system and performance issues
• Continuously improve system performance, reliability, and scalability

DevOps & Cloud Engineering

• Drive
  cloud-native deployments
  across AWS / Azure / GCP
• Champion
  DevSecOps practices
  :
• Infrastructure as Code (Terraform)
• CI/CD pipelines (GitHub Actions / Azure DevOps)
• Container orchestration (Kubernetes – EKS/AKS/GKE)
• Observability (Prometheus, Grafana, OpenTelemetry)
• Ensure systems meet
  security, privacy, and compliance standards (HIPAA, GDPR)

What You Bring

• 6+ years
  of software development experience, including
  3+ years in a leadership role
• Strong expertise in
  Python
  and solid experience in
  TypeScript/JavaScript
  (Rust/Go is a plus)
• Experience designing and building
  agent-based systems, orchestration frameworks, or AI-driven workflows
• Hands-on experience with
  LLMs and GenAI ecosystems
  (OpenAI, Anthropic, Bedrock, Vertex AI)
• Experience working with
  vector databases
  (pg vector, Qdrant) and retrieval systems
• Strong understanding of
  distributed systems, APIs, and real-time communication (REST, gRPC, WebSockets)
• Proven experience deploying
  cloud-native systems
  on AWS/Azure/GCP (IAM, networking, autoscaling, managed services)
• Expertise in
  DevOps toolchains
  : Docker, Kubernetes, Helm, CI/CD pipelines
• Familiarity with
  frontend technologies
  (React, Next.js, Tailwind) and user-centric design
• Deep understanding of
  Agile methodologies, trunk-based development, and release strategies
• Excellent communication skills with the ability to translate complex technical concepts into business impact