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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