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Backend AI Engineer at Persistent Systems

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Persistent Systems

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Persistent Systems 4.2(10,541)

Pune · Hybrid · 4-7 Yrs · Sep 29

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Information Technology Support Services · 10000+ Employees · Pune, India

27 open roles6 posted in 7d27 in 30d

Work-life balance 4.1Compensation & benefits 3.9Culture & values 4.2

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026. Our Company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent - persistent.com/careers

Hiring: Engineering

What employees say

+ Work Life Balance is good

− Salary growth is not good

More reviews on the company profile.

Interview experience · Senior RPA Developer

The 1st round was led by AI assistant. The next round was Managerial round which went well, They asked me scenario based technical questions. It was also hands-on round where they wanted to check if I can actually build

Easy difficulty · India · 1,761 reports

More interview insights

Job description

Hybrid

Overview

We are looking for a highly skilled Backend AI Engineer to design, build, and operate enterprise-grade AI and Agentic AI applications using TypeScript, Python, and Node.js.

Responsibilities

Design and develop backend AI services, APIs, orchestration layers, and integration components using TypeScript, Python, and Node.js.
Build scalable backend services supporting AI Agents, Copilots, Assistants, and workflow automation platforms.
Develop REST APIs, asynchronous services, event-driven workflows, background jobs, queues, WebSocket, and SSE streaming services.
Design robust service architectures that support enterprise-scale AI workloads.
Build and implement Agentic AI workflows using LangChain, LangChain.js, LangGraph, MCP SDK, Semantic Kernel, CrewAI, AutoGen, OpenAI-compatible APIs.
Develop intelligent agent capabilities including Tool Calling, Function Calling, Task Planning, Workflow Orchestration, Memory Management, Structured Outputs, Execution Monitoring, Error Recovery Mechanisms.
Design graph-based workflow automation and multi-agent systems.
Integrate cloud and on-premise LLMs including OpenAI Models, Qwen, DeepSeek, GLM, Other Enterprise-Approved Models.
Implement prompt engineering strategies and model optimization techniques.
Develop secure and scalable AI-powered applications and services.
Evaluate and improve LLM response quality and system performance.
Design and implement Model Context Protocol (MCP) integrations.
Develop MCP client and server implementations.
Manage using Tool Registration, Access Controls, Permissions Management, Service Onboarding, Logging & Monitoring, Secure Connectivity.
Integrate AI systems with enterprise applications and business workflows.
Build enterprise-grade RAG pipelines.
Develop Document Parsing, Chunking Strategies, Embedding Pipelines, Vector Search Frameworks, Knowledge Ingestion Pipelines, Retrieval Evaluation Mechanisms.
Improve knowledge quality, retrieval accuracy, and contextual reasoning capabilities.
Integrate AI systems with structured and unstructured enterprise knowledge sources.
Design semantic data structures supporting AI reasoning and intelligent workflows.
Build and maintain Knowledge Graphs, Metadata Models, Ontologies, Taxonomies, Entity Relationships, Graph Databases.
Implement hybrid Graph + Vector Search architectures.
Enable advanced semantic search and contextual AI capabilities.
Design and deploy cloud-native AI applications using AWS services.
Build containerized workloads using Docker and Kubernetes.
Implement CI/CD pipelines and deployment automation.
Develop scalable and resilient infrastructure supporting AI workloads.
Automate system provisioning, monitoring, and operational processes.
Implement monitoring, logging, and observability capabilities.
Build OpenTelemetry Instrumentation, Distributed Tracing, Performance Monitoring, Cost Tracking, AI Evaluation Frameworks.

Qualifications

Job Type: Full-Time Employment
Knowledge of Knowledge Graph technologies.
Exposure to MLOps and AI model lifecycle management.
Familiarity with multi-tenant architectures and SaaS platforms.
Knowledge of distributed systems and high-availability architectures.
Strong experience with TypeScript, Node.js, Python.
Expertise in asynchronous programming and backend service development.
Strong understanding of REST APIs, WebSockets, Server-Sent Events (SSE), Event-Driven Architectures, Microservices.
Hands-on experience with LangChain, LangChain.js, LangGraph, MCP SDK, LlamaIndex, Semantic Kernel, CrewAI, AutoGen.
Strong understanding of Large Language Models (LLMs), Prompt Engineering, Tool Calling, Structured Outputs, Memory Management, Agent Orchestration, AI Evaluation.

Benefits

Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
We support hybrid work and flexible hours to fit diverse lifestyles.
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

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Job application FAQ

Last updated 5 October 2026

How do I apply for Backend AI Engineer at Persistent Systems?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Persistent Systems may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this Backend AI Engineer role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is Backend AI Engineer remote or on-site in Pune, Maharashtra?: This listing is marked hybrid with location Pune, Maharashtra. Confirm details on the job description before applying.
What skills matter for this Backend AI Engineer role at Persistent Systems?: This is a mid-level Backend AI Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.