Delivery AI Software Engineer

• End to End high scale web-development experience but not just limited to architecting, design, planning, development and deployment
• Maintains a strong knowledge base of new opensource tech stacks, applications, techniques, and skills
• Strong problem-solving and follow-up skills; must be proactive and take initiative
• Create robust proprietary code and translate business logic into project requirements
• Develop code using development best practices, and an emphasis on security best practices
• Leverage technologies to support business needs to attain high reusability and maintainability of current and newly developed systems
• Provide system design recommendations based on technical requirements
• Work independently on development tasks with minimal supervision
• Write effective unit tests and integration tests to ensure high-quality software delivery

GenAI & Agentic Systems Engineering

• Designing and shipping enterprise-grade GenAI features inside full stack architectures — not standalone notebooks or demos
• Building modular AI services in Python (FastAPI / Flask / Django) that wrap LLM APIs and are exposed to the front end via REST
• Designing retrieval-augmented generation (RAG) pipelines: chunking, embeddings, vector search, re-ranking and context management
• Building agentic workflows — tool and function calling, multi-step orchestration, state and memory, human-in-the-loop checkpoints, and sensible fallbacks when an agent fails
• Integrating AI inference into React or Angular applications with UX patterns suited to AI (streaming responses, latency masking, citations, edit-and-retry, graceful degradation)
• Treating evaluation as engineering: defining success criteria for AI output, building test sets, and instrumenting logging, tracing, monitoring and cost/token controls
• Applying guardrails and Responsible AI practice — prompt injection defence, PII and client-confidentiality handling, output validation, and a clear audit trail
• Using AI-assisted development tooling to accelerate your own delivery, with judgement about where it helps and where it doesn't

Business Requirement Gathering and Collaboration

• Owning all or part of a software development engagement and integrating with cross-functional teams
• Establish credibility by thought partnering with demanding stakeholders / consulting teams on web development and delivery topics; drawing conclusions on a range of external and internal issues and dependencies
• Communicate insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with stakeholders / consulting teams; collecting, synthesizing, learnings & inputs into new best practices and methodologies
• Executing software development approach and creating defined outcome; contributing to approach selection
• Ensure proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing documents
• Able to build and sustain relationships with consulting MDPs to generate project work by self-leveraging regular connects
• Guides juniors on advanced software concepts and platforms, and helps in quality checks
• Contributes to team’s content & IP development
• Imparts technical trainings to team members and consulting cohort

Problem Solving

• You should be strong in solutioning with hands-on experience in software delivery, through the entire life cycle of software development. Strong problem solving skills with the ability to develop and codify knowledge and provide appropriate technical advice where required
• Comfort working with non-deterministic systems — debugging by evidence and evaluation rather than assumption

Technical Skills

      Must have 

• Experience in building high-performance web applications using -Python (Django/Flask/FastAPI), React, Angular, TypeScript, HTML5 and CSS3
• Leveraging SQL-Postgres for best performance
• On OOPs concepts, design patterns, responsive UI and Unit testing frameworks like Mockito, Junit, Jest.
• Knowledge of Material UI or And Design
• Knowledge of UI component libraries to produce high-quality production apps following a high-fidelity design and a specification
• Track record of designing, developing and supporting highly scalable, responsive web app
• Integrate UI with REST APIs to make the app production-ready
• Hands-on experience building applications on top of LLM APIs (Azure OpenAI preferred; OpenAI, Anthropic or equivalent acceptable) that have been used by real users
• Experience with at least one agent or orchestration framework (LangChain / LangGraph, AutoGen, CrewAI, Semantic Kernel, DSPy or a comparable in-house equivalent)
• Implementing tool / function calling and structured output, including schema validation and error handling
• Logging, tracing and evaluating AI output (LangSmith, Langfuse, Azure AI evaluation tooling or equivalent)

    Working knowledge

• Unix command-line tools and code repo Git
• CI/CD, DevOps tools
• Cloud infra architecture design (Azure, GCP, Oracle) and deployment using Kubernetes
• UI component libraries to produce high-quality production apps following a high-fidelity design and a specification

     Good to have

• Microservices, Docker, Kubernetes
• Deploying AI workloads to a major cloud platform and managing cost, latency and rate limits in production
• Model Context Protocol (MCP) or comparable tool-integration standards
• Multi-agent system design, including agent-to-agent handoff and supervision patterns
• File Storage and NoSql Databases like MongoDB
• Charting libraries like HighCharts, D3.js and Recharts
• Basic wireframing skills
• Hybrid Mobile app development using React Native or Ionic