Uttar Pradesh Junior software developer Jobs – 113 Open Jobs Today

241195-Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Customer service
- Salesforce
Senior SecOps & AppSec Lead - Noida
NeoXam —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Java
- SQL
ServiceNow Implementation Lead
Crowe Capability Center - India —Noida, Uttar Pradesh
- Full-time
- DevOps
- Bachelor's degree
- JavaScript
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17h
ServiceNow Implementation Senior Consultant
Crowe Capability Center - India —Noida, Uttar Pradesh
- Full-time
- DevOps
- Bachelor's degree
- JavaScript
Quick apply
1d

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Senior SecOps & AppSec Lead - Noida
NeoXam —Noida, Uttar Pradesh
Additionally, you will lead 1–2 junior engineers, building a small but effective security operations practice. Team Size 1–2 Direct Reports.

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241195-Lead Assistant Manager

EXL Service -
Noida, Uttar Pradesh

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Job details

Full-time

Qualifications

Jira
TensorFlow
CI/CD
Cloud infrastructure
Azure
Node.js
Law
PCI
React
Kubernetes
Full-stack development
Customer service
Salesforce
Encryption
NoSQL
Master's degree
Databases
Microservices
SQL
OS Kernels
AWS
Docker
JavaScript
Continuous integration
REST
APIs
ServiceNow
Scalability
Agile
GraphQL
AI
TypeScript
Communication skills
Python

Full job description

Job Description: Job Description: Lead / Assistant Manager – AI Engineer (Advanced Agentic AI)Location: Delhi NCRLevel: Lead / Assistant ManagerAbout EXL ServiceEXL Service is at the forefront of embedding AI into enterprise operations. We are scaling solutions like MiAI Call Simulator, AI Trainer, Upskill.AI, and Transition AI Toolkit to drive measurable impact across Insurance, Healthcare, Banking, and Retail.We are seeking AI Engineers with strong full-stack development skills to design and build Advanced Agentic AI systems that orchestrate multi-step reasoning, integrate enterprise applications, and deliver next-generation AI-driven automation.Key ResponsibilitiesAI Engineering & DevelopmentDesign, develop, and deploy Agentic AI workflows using LLMs, orchestration frameworks (LangGraph, LangChain, Semantic Kernel), and advanced prompting strategies.Build scalable full-stack applications integrating AI agents with enterprise platforms (ServiceNow, Salesforce, Jira, custom APIs).Develop self-healing automations, API connectors, and middleware to enable seamless human-AI collaboration.Architecture & Systems IntegrationArchitect end-to-end AI solutions covering data ingestion, model orchestration, microservices, and UI layers.Leverage cloud-native infrastructure (Azure OpenAI, AWS Bedrock, GCP Vertex AI) to build secure and compliant AI systems.Ensure AI agents adhere to governance, auditability, and compliance frameworks (GDPR, HIPAA, PCI-DSS).Product & InnovationCollaborate with Product Managers to translate business requirements into AI-first features.Prototype, test, and optimize Agentic AI capabilities for enterprise-scale adoption.Contribute to EXL’s AI Innovation labs with cutting-edge solutions in conversational AI, simulation, and process automation.Team & DeliveryMentor junior engineers in AI frameworks and full-stack practices.Drive Agile ceremonies, ensure backlog delivery, and maintain production-ready AI deployments.Partner with cross-functional teams (SMEs, designers, DevOps, QA) to ensure quality and scalability.Required Skills & ExperienceCore AI/ML Skills5–8 years of experience in software engineering / AI engineering.Strong experience in building Agentic AI solutions with LLM orchestration (LangChain, LangGraph, AutoGen, Semantic Kernel).Hands-on with RAG (Retrieval Augmented Generation), fine-tuning, and multi-agent orchestration.Exposure to voice / conversational AI (Azure Cognitive Services, Twilio, Dialogflow, etc.) a plus.Full-Stack DevelopmentStrong in JavaScript/TypeScript, React/Next.js, Node.js, Python.Proficiency in REST / GraphQL APIs, microservices, containerization (Docker, Kubernetes).Strong knowledge of databases (SQL/NoSQL, vector DBs like Pinecone, Weaviate, Chroma).Cloud & DevOpsExperience with Azure (preferred), AWS, or GCP AI services.Knowledge of CI/CD, MLOps pipelines, and monitoring tools.Familiarity with security practices (OAuth2.0, JWT, API security, data encryption).Soft SkillsStrong problem-solving with system-level thinking.Ability to work in agile squads and deliver in fast-paced environments.Good communication and ability to collaborate with product/business teams.Preferred / Good-to-HaveExposure to Agent simulation environments for training and testing (e.g., CrewAI, OpenAI Swarm).Experience with GenAI integrations in enterprise L&D, Customer Service, or Operations platforms.Contributions to open-source AI frameworks.Certifications: Azure AI Engineer Associate, TensorFlow Developer, or equivalent.

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