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Software Engineer- AI Agent Platform

  • Source: Naukri
  • Aionos
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Location: Hyderabad, Telangana
Work Model: Full-time, Work from Office
Schedule: 5 days a week from the office

Software Engineer AI Agent Platform
Orchestration • Benchmarking • Unification

About the Role

We are looking for a talented Software Engineer with around 3 years of experience to join the team building our next-generation AI Agent Platform. This platform helps enterprises measure ROI on AI agent activity, benchmark agents against performance standards, orchestrate multi-agent workflows, and unify AI agents across diverse platforms and ecosystems.

As a Software Engineer on this team, you will contribute to building reliable, scalable backend systems and AI-powered features. You will work closely with senior engineers and the engineering manager, learning and growing in one of the most exciting areas of AI engineering.

What You’ll Work On

  • ROI & Analytics: Build data pipelines, instrumentation, and reporting features that quantify the business impact of AI agents across industries like BFSI, healthcare, retail, and telecom.
  • Agent Benchmarking: Help develop evaluation harnesses and quality metrics that allow enterprises to compare agents on accuracy, latency, cost, and task success.
  • Agent Orchestration: Contribute to multi-agent orchestration engines and workflow planners that enable agents to collaborate on complex tasks reliably.
  • Platform Integration: Build connectors and protocol adapters (MCP, A2A, OpenAI Assistants, LangGraph, etc.) that help customers manage agents across vendors from a single control plane.

Key Responsibilities

  • Design, develop, and maintain backend services and APIs for the AI Agent Platform
  • Write clean, well-tested, and documented code in Python, Go, or TypeScript
  • Collaborate with senior engineers on architectural decisions and system design
  • Participate in code reviews and contribute to engineering best practices
  • Integrate with LLM APIs (OpenAI, Anthropic, Google) and agent frameworks
  • Debug production issues and contribute to platform reliability and performance
  • Work cross-functionally with Product and Design to deliver customer-facing features
  • Continuously learn and stay current with fast-moving agentic AI developments

Required Qualifications

  • 24 years of software engineering experience in a production environment
  • Proficiency in one or more of: Python, Go, TypeScript/Node.js, or Java
  • Experience building and consuming RESTful APIs and microservices
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Basic knowledge of containerization (Docker) and CI/CD pipelines
  • Understanding of SQL and NoSQL databases (PostgreSQL, MongoDB, or similar)
  • Strong problem-solving skills and attention to code quality
  • Good communication skills and ability to work in a collaborative team environment
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Preferred Qualifications

  • Exposure to AI/ML concepts or experience working with LLM APIs (OpenAI, Anthropic, Hugging Face)
  • Familiarity with agent frameworks such as LangChain, LangGraph, or LlamaIndex
  • Interest in or knowledge of agentic AI concepts: tool use, planning, memory, and multi-agent coordination
  • Experience with streaming and messaging systems (Kafka, Redis, RabbitMQ)
  • Familiarity with observability tools (Datadog, OpenTelemetry, Prometheus)
  • Exposure to vector databases (Pinecone, Weaviate, Qdrant) or RAG pipelines
  • Experience with Kubernetes or infrastructure-as-code tools (Terraform)

Technical Stack & Tooling

  • Languages: Python, Go, TypeScript/Node.js, Java
  • AI/ML Frameworks: LangChain, LangGraph, LlamaIndex, Hugging Face, PyTorch, OpenAI/Anthropic/Google APIs
  • Agent Protocols: MCP, A2A, OpenAI Assistants API, function calling, tool use frameworks
  • Data & Storage: PostgreSQL, MongoDB, Elasticsearch, Pinecone/Weaviate/Qdrant, Snowflake/BigQuery
  • Streaming & Messaging: Kafka, Redis, RabbitMQ, gRPC
  • Cloud & Infra: AWS, GCP, Azure, Kubernetes, Terraform, Docker
  • Observability: Datadog, OpenTelemetry, LangSmith, Langfuse, Prometheus, Grafana

What We’re Looking For

  • A curious engineer who is excited about agentic AI and wants to build at the frontier
  • Someone who takes ownership of their work and follows through with quality and care
  • A collaborative team player who communicates clearly and asks good questions -…

Skills

  • LangGraph
  • Python
  • Golang
  • TypeScript
  • microsoft-typescript
  • NodeJS
  • Java
  • amazon-web-services
  • google-cloud-platform
  • microsoft-azure
  • Docker
  • PostgreSQL
  • MongoDB
  • hugging-face
  • LangChain
  • LlamaIndex
  • Kafka
  • Redis
  • RabbitMQ
  • datadog
  • opentelemetry
  • Prometheus
  • qdrant
  • Kubernetes
  • Terraform
  • PyTorch
  • Elasticsearch
  • Snowflake
  • gRPC
  • Grafana
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