Job Summary

Technical SkillsBackend EngineeringStrong hands-on experience in Python and modern backend architectures.Expertise in FastAPI, asynchronous programming (AsyncIO), RESTful APIs, WebSockets, and microservices.Experience with PostgreSQL, Redis, vector databases (Pinecone, pgvector, Qdrant, FAISS), and API integrations.Knowledge of cloud-native development, containerization, CI/CD, Docker, and Kubernetes.Ability to design scalable, secure, and high-performance backend services.Agentic AI EngineeringExperience designing and implementing agentic systems using frameworks such as ADK, LangGraph, LangChain, CrewAI, MCP, or similar orchestration platforms.Strong understanding of:Agent architecture and planningMulti-agent orchestrationTool calling and workflow automationRetrieval-Augmented Generation (RAG)Context and memory managementHuman-in-the-loop workflowsExperience with agent runtimes, observability, tracing, monitoring, and production deployment.Expertise in formal evaluation frameworks such as DeepEval, RAGAS, custom benchmark suites, and optimization techniques.Ability to improve agent quality, latency, reliability, and cost efficiency through systematic evaluation and tuning.Frontend EngineeringStrong experience with TypeScript/JavaScript.Expertise in React.js and Next.js.Experience building responsive, scalable, and accessible enterprise-grade user interfaces.Knowledge of SSR/SSG, state management, API integration, real-time streaming applications, and performance optimization.Experience building AI-native user experiences including chat interfaces, agent dashboards, workflow builders, and monitoring consoles.Architecture & Engineering ExcellenceStrong system design and architecture skills.Experience defining coding standards, review processes, testing strategies, and engineering best practices.Familiarity with modern AI engineering tooling including GitHub Copilot, Cursor, Claude Code, and related development accelerators. 

Key Responsibilities

Design, develop, and deploy intelligent AI applications by combining robust backend engineering, agentic AI systems, and modern frontend experiences. The role will drive end-to-end solution delivery across backend services, agent orchestration, evaluation frameworks, and user-facing AI applications.Key ResponsibilitiesBackend DevelopmentDesign and develop scalable APIs and microservices using Python and FastAPI.Build backend integrations with enterprise systems, databases, AI services, and third-party applications.Ensure reliability, scalability, security, and maintainability of production services.Optimize system performance and troubleshoot complex production issues.Agentic AI DevelopmentDesign and implement enterprise-grade AI agents and multi-agent workflows.Develop orchestration frameworks, tool integrations, and autonomous workflows.Define evaluation methodologies and continuously improve agent quality through systematic testing and optimization.Implement monitoring, telemetry, guardrails, and governance controls for AI applications.Collaborate with product and business stakeholders to translate business processes into intelligent agent workflows.Frontend DevelopmentDevelop responsive, high-performance interfaces using React and Next.js.Build AI-focused user experiences such as:Conversational interfacesAgent control dashboardsWorkflow orchestration consolesEvaluation and analytics portalsEnsure excellent usability, responsiveness, accessibility, and performance.Solution ArchitectureParticipate in architecture discussions and technical design reviews.Define standards for API contracts, integration patterns, security, and scalability.Drive reusable component and platform development across AI applications.Collaboration & LeadershipWork closely with product managers, architects, data scientists, and platform engineers.Mentor junior engineers and perform technical reviews.Contribute to engineering best practices, documentation, and knowledge sharing.Success CriteriaDeliver production-ready AI solutions that meet performance, reliability, and business objectives.Improve agent effectiveness through measurable evaluations and optimizations.Create intuitive user experiences for AI-powered applications.Maintain high engineering quality standards across backend, agentic, and frontend components.

Skill Requirements

Backend: Python, FastAPI, and managing interfaces with the frontend (TS/JS).
Agentic: Agent design, orchestration (ADK), runtimes, and formal evals/optimization.
Frontend: TypeScript/JavaScript (React/Next.js) with experience building high-performance, responsive UIs for AI-driven applications

Technical Skills

Backend EngineeringStrong hands-on experience in Python and modern backend architectures.Expertise in FastAPI, asynchronous programming (AsyncIO), RESTful APIs, WebSockets, and microservices.Experience with PostgreSQL, Redis, vector databases (Pinecone, pgvector, Qdrant, FAISS), and API integrations.Knowledge of cloud-native development, containerization, CI/CD, Docker, and Kubernetes.Ability to design scalable, secure, and high-performance backend services.Agentic AI EngineeringExperience designing and implementing agentic systems using frameworks such as ADK, LangGraph, LangChain, CrewAI, MCP, or similar orchestration platforms.Strong understanding of:Agent architecture and planningMulti-agent orchestrationTool calling and workflow automationRetrieval-Augmented Generation (RAG)Context and memory managementHuman-in-the-loop workflowsExperience with agent runtimes, observability, tracing, monitoring, and production deployment.Expertise in formal evaluation frameworks such as DeepEval, RAGAS, custom benchmark suites, and optimization techniques.Ability to improve agent quality, latency, reliability, and cost efficiency through systematic evaluation and tuning.Frontend EngineeringStrong experience with TypeScript/JavaScript.Expertise in React.js and Next.js.Experience building responsive, scalable, and accessible enterprise-grade user interfaces.Knowledge of SSR/SSG, state management, API integration, real-time streaming applications, and performance optimization.Experience building AI-native user experiences including chat interfaces, agent dashboards, workflow builders, and monitoring consoles.Architecture & Engineering ExcellenceStrong system design and architecture skills.Experience defining coding standards, review processes, testing strategies, and engineering best practices.Familiarity with modern AI engineering tooling including GitHub Copilot, Cursor, Claude Code, and related development accelerators.

Other Requirements

Preferred Qualifications

Experience with RAG, LLMs, embeddings, vector databases, and MCP-based integrations.Exposure to cloud platforms such as Azure, AWS, or GCP.Experience building enterprise AI products from prototyping to production.Strong understanding of AI governance, observability, evaluation, and operational excellence.