AI Architect

Role: Senior Software Engineer (SDE III) – AI & Backend

Location: Bangalore

Experience: 5-8 Years

Notice: Immediate – 15 Days

Work Mode: Work From Office

Type: Contract to Hire (CTH)

Role Overview

We are looking for a Senior Software Engineer with strong expertise in backend development and AI systems. You will build scalable platforms, AI-powered agents, and real-time voice applications.

What You’ll Do

● Design and develop scalable backend services using Python

● Build microservices, RESTful APIs, and event-driven systems

● Develop AI-powered agents using LLM frameworks and multi-agent systems

● Work on voice systems using STT/TTS and real-time streaming architectures

● Integrate APIs, vector databases, and RAG-based systems

● Collaborate with cross-functional teams and mentor junior engineers

What We’re Looking For

● 5+ years of experience in software development

● Strong proficiency in Python.

● Experience with microservices and distributed systems

● Hands-on experience with LLMs and agent frameworks (LangChain, AutoGen, etc.)

● Familiarity with vector DBs, embeddings, and cloud platforms (AWS/GCP/Azure)

● Good communication skills and ownership mindset

Nice to Have

● Experience with voice systems (STT/TTS) and real-time architecture

● Exposure to MCP or similar frameworks

● Experience building AI copilots or multi-modal systems

About the role

Webnyay is looking for an experienced Backend Developer to build and scale reliable backend systems for our legal tech platform. You will work on core product architecture, high-performance APIs, and cloud-native services that support AI-driven workflows and large-scale data processing.

Responsibilities

• Develop backend services using Python, Django, and FastAPI
• Build scalable APIs and microservices for product features
• Implement event-driven and asynchronous workflows using Kafka
• Design and maintain backend integrations and data pipelines
• Deploy and manage services on Google Cloud Platform (GCP)
• Ensure performance, security, and reliability of backend systems
• Collaborate with product and engineering teams to deliver production-ready features

Requirements

• 4+ years of backend development experience
• Strong proficiency in Python
• Hands-on experience with Django and FastAPI
• Experience working with Kafka or similar messaging systems
• Working knowledge of GCP and cloud-based deployments
• Solid understanding of backend architecture and API design
• Experience with databases and production systems
• Experience building SaaS or platform-based products
• Exposure to AI-driven or data-intensive applications

Why Webnyay

• Build technology that improves access to justice
• Work on real-world, high-impact legal tech problems
• Collaborative and ownership-driven work culture
• Opportunity to grow with a fast-scaling startup

About the Role

We are looking for a strong software engineer who actively uses AI to build better software faster. This is a backend-heavy engineering role where LLMs and AI systems are integrated into real production applications.

You will design, build, deploy, and maintain AI-enabled systems, while maintaining strong engineering discipline and code quality.

Key Responsibilities

• Architect and build scalable backend systems (Python / FastAPI preferred)
• Integrate LLM APIs, RAG pipelines, and AI workflows into production applications
• Deploy and maintain containerized applications on AWS/Azure
• Use AI coding assistants and agents to accelerate development, without compromising code quality
• Convert ambiguous requirements into production-ready systems

Must-Have Skills

• 7+ years of professional software engineering experience
• Strong Python backend experience
• Experience building REST APIs and production systems
• Solid understanding of system design and clean architecture
• Hands-on experience with Docker and Linux
• Experience deploying to AWS or Azure
• Experience integrating LLM APIs into applications
• Experience with embeddings / vector databases / RAG pipelines
• Strong Git and collaborative development workflows
• Ability to operate independently in ambiguous environments

Most importantly:

• Strong engineering fundamentals
• High ownership mindset
• Comfort using AI tools to move fast
• Discipline to maintain structure and quality

Good-to-Have

• Experience with real-time streaming or WebSockets
• Kubernetes deployment experience
• Experience in a fast-paced startup or consulting environment
• Familiarity with agent frameworks or voice/multimodal systems

Screening Requirement

Please include:

• A portfolio of systems you’ve built (especially AI-enabled systems), and
• A short note explaining how you use AI tools in your development workflow.

We are specifically looking for engineers who lean into AI agents and coding assistants, but still understand architecture, performance, and clean code.

Proficient in Golang, Python, Java, C++, or Ruby (at least one)

Strong grasp of system design, data structures, and algorithms

Experience with RESTful APIs, relational and NoSQL databases

Proven ability to mentor developers and drive quality delivery

Track record of building high-performance, scalable systems

Excellent communication and problem-solving skills

Experience in consulting or contractor roles is a plus

Job responsibilities

• Performs development, deployment, administration, management, configuration, testing, and integration tasks related to the cloud security platforms.
• Develops automated security and compliance capabilities in support of DevOps processes in a large-scale computing environment for the storage program within the firm.
• Champions a DevOps security model so that security is automated and elastic across all platforms and cultivate a cloud first mindset in transitioning workloads.
• Leverages DevOps tools to build, harden, maintain, and instrument a comprehensive security orchestration platform for infrastructure as code.
• Provides support to drive the maturity of the Cybersecurity software development lifecycle and develop & improve the quality of technical engineering documentation.
• Makes decisions of a global, strategic nature by analyzing complex data systems and incorporating knowledge of other lines of business & JPMC standards.
• Provides quality control of engineering deliverables, technical consultation to product management and technical interface between development and operations teams.

Required qualifications, capabilities, and skills

• Formal training or certification on Security engineering and 3+ years applied experience
• Proficiency in programming languages like Python or Java with strong coding skills
• Understanding of one or more Public Cloud platforms( AWS/ GCP/ Azure)
• Experience with highly scalable systems, release management, software configuration, design, development, and implementation is required
• Ability to analyzing complex data systems – failure analysis / root cause analysis, developing, improving, and maintaining technical engineering documentation

1. Develop, maintain, and enhance robust backend systems using Python3 and frameworks like Django (mandatory), Flask, and FastAPI (good to have).
2. Design, implement, and maintain highly efficient and automated continuous integration and continuous deployment (CI/CD) processes using Jenkins and configuration management with Ansible.
3. Elevate our testing culture by architecting and implementing innovative testing strategies, focusing on both unit and integration testing to ensure exceptional code quality and extensive coverage.
4. Follow peer-to-peer code reviews and cross-team collaboration to build scalable and reliable solutions.
5. Proficiently work with at least one cloud technology, preferably AWS, to deploy and manage applications in the cloud environment.
6. Possess knowledge of Nginx, load balancing, and scalability to optimize system performance and reliability.
7. Good experience working in distributed micro-service architecture and driving them with crucial requirements like request tracing, debugging critical issues, logging, monitoring, and alerting. 
8. Work in containerized environments using Docker and Docker Compose, and have experience with AWS ECS for container orchestration.
9. Prioritize maintainability and reliability in developing and maintaining software systems, pushing the boundaries of what's possible in our product ecosystem.
10. Collaborate effectively within a team, taking initiatives and driving projects forward with minimal micro-management.
11. Pave the way for maintainable and reliable codebases by introducing novel approaches and best practices in software development.

Requirements

1. Bachelor’s/Master’s degree in computer science.
2. Strong teamwork and communication skills, with a proactive approach to project management and task ownership.
3. Proven track record as an innovative Python developer with a focus on product engineering.
4. Visionary mindset to work in an agile environment, participating in sprint planning, stand-ups, and retrospectives.

Benefits

100% Remote

Insurance

2.       Proficiency with fundamental front-end languages such as HTML, CSS.

3.       Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.

4.       Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net.

5.       Good Understand with database technology such as MySQL, Oracle, and MongoDB.