Software Engineer, Agentic AI & Integrations
New
W
WINHome services technology
Location: NoidaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years of hands-on software engineering experience
- Required Skills
- AWSPythonSQLGCPRESTful APIs
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
- 4+ years of hands-on software engineering experience.
- Strong proficiency in Python and experience developing backend applications, APIs, and integrations.
- Experience developing and deploying AI/LLM-powered applications, including agentic workflows, tool calling, or AI-driven automation that interacts with external systems.
- Understanding of software architecture, REST APIs, webhooks, authentication, and system integration.
- Practical experience with LLM APIs and integrating AI models into applications and business-system workflows.
- Experience with cloud platforms such as AWS or GCP, databases, SQL, version control, and modern software development and deployment practices.
- Experience building, testing, and maintaining reliable production applications, with strong problem-solving and debugging abilities.
- Ability to independently own technical deliverables and collaborate with cross-functional teams.
- Preferred: experience with MCP, AI agent frameworks, or similar tool-integration architectures.
- Preferred: experience building conversational AI, voice AI, or real-time automation solutions.
- Preferred: familiarity with FastAPI, asynchronous programming, microservices, or event-driven architectures.
- Preferred: experience with LLM orchestration, RAG, AI evaluation, and performance optimization.
- Preferred: experience developing customer-facing digital products or platforms connecting multiple services, users, or systems.
Responsibilities
- Design, develop, and maintain scalable backend applications, APIs, and services.
- Build AI agents and automated workflows that interact with systems, retrieve information, make decisions within defined parameters, and execute actions.
- Connect internal applications, third-party platforms, AI services, and external tools using Python, REST APIs, webhooks, MCP, and other integration technologies.
- Integrate and orchestrate LLMs, AI agents, and external services, evaluating and switching models and providers to improve accuracy, performance, reliability, and cost efficiency.
- Build, test, deploy, monitor, and troubleshoot applications and integrations.
- Implement safeguards, error handling, and automated testing for secure, dependable performance.
- Collaborate with product, technology, and business teams to understand requirements and deliver technical solutions.
- Evaluate emerging technologies, contribute to technical architecture, and develop new product and platform capabilities.
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