Senior Software Development Engineer - 3

PLEASE DO NOT APPLY UNLESS YOU MEET ALL THE CRITERIA BELOW and are ready to WFO in Bangalore

About us

Tallect is a unified platform designed to help organizations manage and govern people programs at scale.

From compensation planning and equity management to global benefits, incentives, and engagement, Tallect brings structure to areas often managed through spreadsheets and disconnected tools. With 12 integrated modules, the platform supports planning, governance, compliance, and decision-making across the entire people lifecycle.

Built for startups, enterprises, and global organizations, Tallect complements existing HR systems by providing the strategic layer needed to manage complexity, ensure consistency, and improve visibility across people programs. Tallect supports people programs across compensation, rewards, benefits, incentives, equity, governance, recognition, and engagement delivered through 12 integrated modules that work together as one platform.

Job Overview

We are seeking a hands-on Backend Developer to design, build, and scale modern cloud-native applications powered by AI technologies. The ideal candidate will have strong experience in Node.js, Azure Functions, PostgreSQL, and API development, along with practical exposure to AI/LLM integrations, intelligent automation, and modern software engineering practices.

You will be responsible for building highly scalable backend services, integrating AI capabilities into business workflows, developing APIs, and enabling AI-powered user experiences across our products.

Key Responsibilities

Backend Development

• Design, develop, and maintain scalable backend services using Node.js, Express.js, and Azure Functions.
• Build secure and high-performance RESTful APIs and event-driven services.
• Design and optimize PostgreSQL databases and data models.
• Develop microservices and serverless applications on Microsoft Azure.
• Implement authentication, authorization, and security best practices.
• Ensure system reliability, scalability, observability, and performance.

AI & Intelligent Systems

• Integrate Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Anthropic, or similar AI services into business applications.
• Develop AI-powered workflows including document processing, conversational assistants, intelligent search, and workflow automation.
• Build Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
• Design and implement AI agents capable of performing business tasks and orchestrating workflows.
• Evaluate and optimize prompts, AI outputs, and model performance.
• Implement AI guardrails, monitoring, and usage controls.

Integration & Platform Engineering

• Integrate with third-party platforms through APIs, webhooks, and event streams.
• Develop data pipelines and backend services supporting AI and analytics workloads.
• Work closely with frontend, product, and AI teams to deliver end-to-end solutions.
• Participate in architecture discussions and technical decision-making.

Engineering Excellence

• Write unit, integration, and automated tests.
• Conduct code reviews and mentor junior developers.
• Implement CI/CD pipelines and DevOps best practices.
• Leverage AI-assisted development tools to improve engineering productivity.
• Follow Agile development methodologies and engineering standards.

Required Skills & Experience

Core Backend Skills

• Bachelor’s Degree in Computer Science, Engineering, or related field.
• 5-9 years of backend development experience.
• Strong proficiency in Node.js, Express.js, and TypeScript.
• Hands-on experience with Azure Functions and Azure cloud services.
• Strong knowledge of PostgreSQL and database optimization.
• Experience designing and consuming REST APIs.
• Understanding of microservices and distributed systems.
• Experience with Git and Agile software development.

AI & Modern Development Skills

• Experience integrating AI/LLM services such as Azure OpenAI, Anthropic or similar platforms.
• Understanding of prompt engineering techniques.
• Experience building AI-powered applications or intelligent automation workflows.
• Knowledge of Retrieval-Augmented Generation (RAG) concepts.
• Familiarity with vector databases such as  Qdrant or Azure AI Search.
• Hands on experience of AI agents and agent orchestration frameworks.
• Experience using AI-assisted development tools such as Cursor, Claude Code, or similar platforms.
• …