Assistant manager - Payroll & HR Compliance

About the Role:

NeoGenCode is looking for a highly skilled Lead Java Fullstack Developer to join their agile development team. The ideal candidate will bring strong expertise in Java, Angular, and Spring Boot, with hands-on experience in developing and deploying enterprise-level microservices in cloud environments (especially AWS). The candidate will be expected to lead technically while remaining hands-on, guiding junior developers and ensuring top-quality code delivery.

Key Responsibilities:

• Act as a technical lead and contributor in a cross-functional agile team.
• Analyze, design, develop, and deploy web applications using Java, Angular, and Spring Boot.
• Lead sprint activities, task allocation, and code reviews to ensure quality and timely delivery.
• Design and implement microservices-based architecture and RESTful APIs.
• Ensure performance, security, scalability, and maintainability of the applications.
• Maintain CI/CD pipelines using GitHub, Jenkins, and related tools.
• Collaborate with business analysts, product managers, and UX teams for requirement gathering and refinement.

Technical Requirements:

✅ Core Technologies:

• Java (Java 21 preferred) – minimum 5+ years of hands-on experience
• Spring Boot (MVC, Spring Data, Hibernate) – strong hands-on experience
• Angular (Angular 19 preferred) – minimum 2+ years of hands-on experience

✅ Cloud & DevOps:

• Experience in AWS ecosystem (especially S3, Secrets Manager, CloudWatch)
• Experience with Docker
• Familiarity with CI/CD tools (Jenkins, GitHub, etc.)

✅ Database:

• PostgreSQL or other RDBMS
• Familiarity with NoSQL databases is a plus

✅ Frontend Proficiency:

• HTML5, CSS3, JavaScript, AJAX, JSON
• Angular concepts like Interceptors, Pipes, Directives, Decorators
• Strong debugging and performance optimization skills

✅ Testing & Tools:

• Unit testing using Jasmine/Karma or Jest is a plus
• Experience with tools like JIRA, Azure DevOps, Confluence



Soft Skills & Other Expectations:

• Excellent verbal and written communication skills
• Prior consulting or client-facing experience is a big plus
• Strong analytical, problem-solving, and leadership abilities
• Familiarity with Agile/Scrum methodology
• Self-motivated and adaptable with a strong desire to learn and grow

About the Internship

Nexora Group is looking for passionate and innovative students interested in Artificial Intelligence (AI) and Machine Learning (ML). This internship offers an opportunity to work on real-world AI projects, explore machine learning techniques, and gain hands-on experience with emerging technologies that are transforming industries worldwide.

Interns will collaborate with mentors, work on practical assignments, and develop industry-relevant skills in AI, ML, data-driven decision-making, and intelligent systems.

Key Responsibilities

• Assist in developing and testing Machine Learning models.
• Work on AI-based applications and automation projects.
• Analyze datasets and prepare data for model training.
• Research emerging AI and Machine Learning technologies.
• Evaluate model performance and improve accuracy.
• Create reports and documentation for assigned projects.
• Participate in project discussions, training sessions, and team meetings.
• Support the development of innovative AI-driven solutions.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Artificial Intelligence and Machine Learning concepts.
• Familiarity with data analysis and statistics.
• Knowledge of Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch is a plus.
• Strong analytical and problem-solving skills.
• Ability to learn new technologies quickly.
• Good communication and teamwork skills.

Eligibility

• B.Tech, M.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
• Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, or related fields.
• Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Artificial Intelligence Fundamentals

✅ Machine Learning Algorithms

✅ Data Preprocessing & Model Training

✅ Generative AI Concepts

✅ Predictive Analytics

✅ AI Project Development

✅ Industry-Oriented Problem Solving

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on AI & ML Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to Real-World AI Applications

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.

Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.

Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.

Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level. 

Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.

Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only. 

Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.

Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

Job Summary:

• We are looking for a highly motivated and skilled Software Engineer to join our team.
• This role requires a strong understanding of the software development lifecycle, proficiency in coding, and excellent communication skills.
• The ideal candidate will be responsible for production monitoring, resolving minor technical issues, collecting client information, providing effective client interactions, and supporting our development team in resolving challenges

Key Responsibilities:

• Client Interaction: Serve as the primary point of contact for client queries, provide excellent communication, and ensure timely issue resolution.
• Issue Resolution: Troubleshoot and resolve minor issues related to software applications in a timely manner.
• Information Collection: Gather detailed technical information from clients, understand the problem context, and relay the information to the development leads for further action.
• Collaboration: Work closely with development leads and cross-functional teams to provide timely support and resolution for customer issues.
• Documentation: Document client issues, actions taken, and resolutions for future reference and continuous improvement.
• Software Development Lifecycle: Be involved in maintaining, supporting, and optimizing software through its lifecycle, including bug fixes and enhancements.
• Automating Redundant Support Tasks: (good to have) Should be able to automate the redundant repetitive tasks Required Skills and Qualifications:

Mandatory Skills:

• Expertise in at least one Object Oriented Programming language (Python, Java, C#, C++, Reactjs, Nodejs).
• Good knowledge on Data Structure and their correct usage.
• Open to learn any new software development skill if needed for the project.
• Alignment and utilization of the core enterprise technology stacks and integration capabilities throughout the transition states.
• Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives.
• Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them.
• Good knowledge on the implications.
• Experience architecting & estimating deep technical custom solutions & integrations.

Added advantage:

• You have developed software using web technologies.
• You have handled a project from start to end.
• You have worked in an Agile Development project and have experience of writing and estimating User Stories
• Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain technical issues to non-technical clients.
• Client-Facing Experience: Strong ability to interact with clients, gather necessary information, and ensure a high level of customer satisfaction.
• Problem-Solving: Quick-thinking and proactive in resolving minor issues, with a focus on providing excellent user experience.
• Team Collaboration: Ability to collaborate with development leads, engineering teams, and other stakeholders to escalate complex issues or gather additional technical support when required.

Preferred Skills:

• Familiarity with Cloud Platforms and Cyber Security tools: Knowledge of cloud computing platforms and services (AWS, Azure, Google Cloud) and Cortex XSOAR, SIEM, SOAR, XDR tools is a plus.
• Automation and Scripting: Experience with automating processes or writing scripts to support issue resolution is an advantage.

Work Environment:

• This is a rotational shift position
• During evening shift the timings will be (5 PM to 2 AM), and you will be expected to work independently and efficiently during these hours.
• The position may require occasional weekend shifts depending on the project requirements.
• Additional benefit of night allowance.

Job Title: Database Administrator (PostgreSQL) 

Experience: 3 to 6 years 

Location: Gurgaon (Hybrid) 

Employment Type: Full-time 

Job Description: 

We are seeking a skilled Database Administrator (DBA) with expertise in PostgreSQL and strong RDBMS concepts. The ideal candidate will be responsible for database performance monitoring, optimization, automation, and interaction with development teams to support business requirements. 

Key Responsibilities: 

1. Database Administration & Management 

• Manage, configure, and maintain PostgreSQL databases ensuring high availability and reliability. 
• Implement Primary-Slave replication architecture and ensure smooth data synchronization. 
• Work with AWS RDS for PostgreSQL database hosting. 
• Automate database backups and manage release versions for database changes. 
• Implement point-in-time recovery (PITR) backups in AWS RDS to ensure data integrity and disaster recovery. 

2. Performance Monitoring & Optimization 

• Regularly monitor database health and performance metrics. 
• Analyze and optimize slow queries to enhance application performance. 
• Fine-tune database performance using configuration parameters, buffers, connections, Disk IOPs, and memory. 

3. SQL Development & Optimization 

• Write, optimize, and maintain stored procedures, SQL functions, and SQL Views. 
• Implement indexing strategies to improve query performance. 

4. Collaboration & Requirement Analysis 

• Work closely with application developers and business analysts to understand new product requirements. 
• Provide recommendations on database design and architecture for scalable solutions. 

5. Database Security & Compliance 

• Implement best practices for database security, access control, and data integrity. 
• Ensure compliance with data governance and security policies. 

6. Automation & Maintenance 

• Automate database maintenance tasks such as backups, indexing, and archiving. 
• Establish monitoring and alerting systems to proactively address database issues. 

Technical Expertise Required: 

• 3 to 6 years of experience as a Database Administrator (DBA). 
• Strong knowledge of PostgreSQL and RDBMS principles. 
• Experience in writing stored procedures, SQL functions, and SQL Views. 
• Hands-on experience in query optimization and performance tuning. 
• Understanding of Primary-Slave architecture and replication setup. 
• Knowledge of database configuration tuning (buffers, connections, Disk IOPs, Memory, etc.). 
• Experience in automating database backups and version control for DB changes. 
• Familiarity with AWS RDS for PostgreSQL and point-in-time backup (PITR). 
• Experience in cloud-based database solutions (AWS RDS, Azure, GCP). 
• Strong problem-solving and analytical skills. 

Preferred Qualifications: 

• Experience in high-availability solutions and disaster recovery strategies. 
• Exposure to NoSQL databases is a plus. 
• Experience with database migrations and upgrades. 

WordPress JD Below:-

• Designing and building the website front-end.
• Creating the website architecture.
• Designing and managing the website back-end including database and server integration.
• Should know WordPress Customization of themes and plugins.
• Conducting website performance tests.
• Troubleshooting content issues.
• Monitoring the performance of the live website.
• Must have hands on experience with JavaScript
• Job Location- Rajkot

Node.js Developer Requirements:

1. Bachelor's degree in computer science, information science, or similar.

2. At least two years' experience as a Node.js developer.

3. Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.

4. Knowledge of front-end technologies such as HTML5 and CSS3.

5. Superb interpersonal, communication, and collaboration skills.

6. Exceptional analytical and problem-solving aptitude.

7. Great organizational and time management skills.

8. Availability to resolve urgent web application issues outside of business hours.

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

We are looking for a Passionate Android Developer to join our award-winning, talented team, building the next generation automated drone applications for our global customers. You will be responsible for the development of Android applications and their integration with back-end services.

About FlytBase

FlytBase is a 4-year old, venture-funded, high growth startup –  a global pioneer in software-led automation of commercial drone applications. The team has a cumulative professional experience of several decades, with engineering graduates from IIT-B, IIT-KGP, University of Texas & Georgia Tech.

FlytBase develops intelligent software that leverages reliable, off-the-shelf drone hardware to automate and scale drone deployments for commercial use-cases. FlytBase platform is hardware-agnostic, has intelligent plugins for autonomy, manages drone fleets via 4G/5G, and uses APIs to integrate into enterprise workflows. The company is headquartered in Silicon Valley, California, USA and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase continues to win awards globally, the most recent one being the ‘NTT Data Open Innovation Global Champion 2019’.

Role and Responsibilities:

• Design, build and maintain efficient, reusable, and reliable android code.
• Collaborate with cross-functional teams to define, design, ship new features, and implement new technologies to maximize development efficiency.
• Ensure the best possible performance, quality, and responsiveness of the application.
• Identify and correct bottlenecks and fix bugs.

Qualifications and Requirements:

• 1+ years of experience in designing and building Android applications.
• Good knowledge in programming concepts – OOPs, design & coding patterns.
• Experience in developing Android applications using Kotlin/Java.
• Strong knowledge of Android UI design principles, MVC, MVP and MVVM patterns.
• Strong knowledge of MAPS, Sqlite, GPS functionality etc.
• Strong experience in Material Design.
• Experience in writing Unit Tests and UI tests, must be familiar with Junit, Mockito and Espresso.
• Experience in integrating SSO and auth modules or libraries.
• Experience in Git or Bitbucket Repository.
• Experience in REST API integration.
• Familiarity with Android local connectivity API (Bluetooth, WiFi, USB).
• Familiarity with RxKotlin / RxJava (operator, thread management, eventBus).
• Familiarity with cloud message APIs and push notifications.

What Will I Earn?

This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit and alignment with FlytBase’s long-term business strategy.