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Location:KGiSL Educational Institution,Saravanampatti Coimbatore.

Benifits: Provident Fund, Life Insurancee

A student counsellor is a professional who helps students with academic, personal, social, and career-related issues. Their role may include:

• Academic guidance – helping with study skills, course selection, time management, and academic planning.
• Personal support – assisting students in dealing with stress, anxiety, self-esteem issues, or personal challenges.
• Career counselling – providing information about career options, higher education, and job opportunities.
• Crisis intervention – supporting students facing difficult situations such as bullying, family problems, or emotional distress.
• Referral services – connecting students with specialized professionals (psychologists, social workers, healthcare providers) when needed.

To be an effective Student Counsellor, you should develop the following skills:

Counseling Skills

• Empathy and compassion
• Emotional support and guidance
• Problem-solving techniques
• Conflict resolution

Interpersonal Skills

• Relationship building
• Patience and understanding
• Cultural sensitivity
• Team collaboration

Academic Guidance Skills

• Educational planning
• Course and curriculum knowledge
• Study skills coaching
• Time management support

Career Guidance Skills

• Career assessment and counseling
• Knowledge of job market trends
• Resume and interview guidance
• Higher education awareness

Psychological Awareness

• Understanding student behavior
• Recognizing signs of stress, anxiety, and depression
• Basic mental health support
• Crisis intervention skills

Skills Particularly Valued in Colleges and Universities

• Student mentoring
• Admission counseling
• Placement and career support
• Parent-student interaction
• Workshop and seminar facilitation

Student counsellors are commonly found in schools, colleges, and universities and work to support students' overall well-being and success.

If you're asking because you're interested in becoming a student counsellor, I can also explain the qualifications, skills, and career path required.

We are seeking a passionate and experienced Java Full Stack Trainer to deliver high-quality training in front-end and back-end technologies. The ideal candidate will have hands-on experience in full stack development and a flair for teaching aspiring developers and students.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Senior AI Engineer — Ruby on Rails

Techjays · Coimbatore / Chennai · Hybrid · Immediate – 30 Days Notice

About Techjays

We're the AI Reimagination Company — and that's not a tagline we put on a deck. It's what we actually do.

Techjays helps global enterprises rebuild the way they operate using AI at the core: not as a pilot, not as a feature, but as a foundational layer across products, workflows, and infrastructure. We're an Anthropic partner, which means our engineers get early access to frontier models and tools before they hit the market.

Our team includes engineers and leaders from Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. We run like a high-agency startup, but we build production systems that real enterprise clients depend on.

Every project is greenfield. Every line of code you write ships.

What This Role Actually Is

This isn't a "keep the monolith alive" job.

You'll be designing and building new AI-powered features, integrating LLM APIs into production Rails applications, and using Claude Code as a core part of your daily workflow — not as an experiment. You'll work directly with US-based enterprise clients alongside Product Managers, AI Business Consultants, and Delivery Excellence Managers.

Your architecture decisions will have visible business impact.

What You'll Own

• Design, build, and maintain production-grade Ruby on Rails applications for US enterprise clients — from architecture to deployment
• Integrate LLM APIs (Claude, GPT-4, Gemini) into the Rails stack, building AI-powered features that drive real business outcomes
• Use Claude Code daily as your AI development partner — for generation, debugging, documentation, and velocity
• Build responsive, performant React front-ends from wireframes and design specs
• Own RESTful and GraphQL API design for client applications and third-party integrations
• Drive database design and optimisation — schema, queries, indexing, and migrations on PostgreSQL/MySQL
• Lead code reviews and raise the technical bar through constructive feedback
• Document architecture decisions, API contracts, and implementation patterns

Must-Haves

• 6+ years of deep, production-grade Ruby on Rails experience — advanced framework patterns, background jobs (Sidekiq/Redis), design patterns, best practices
• Hands-on experience with Claude Code (Anthropic) for AI-assisted development — this is central to how we build
• Strong React skills — hooks, component architecture, state management, wireframe to production
• Expert-level PostgreSQL/MySQL — schema design, query optimisation, indexing, performance tuning
• Proven experience designing RESTful and GraphQL APIs at scale
• Experience integrating third-party LLM APIs (OpenAI, Anthropic, Google Gemini) into production Rails apps
• Strong software architecture fundamentals — MVC, service objects, design patterns, testability
• Deep comfort with Git, Gitflow, and PR-based collaboration workflows

Good to Have

• Python for scripting, automation, or backend service integration alongside Rails
• AWS familiarity — EC2, S3, RDS, Lambda — for deployment and infrastructure
• MongoDB or NoSQL in polyglot persistence architectures
• Vector databases (Pinecone, pgvector, Weaviate) for LLM application development
• LangChain, LangGraph, or similar orchestration frameworks for AI agents
• SaaS multi-tenancy patterns and high-traffic web application experience
• Open source contributions or a strong public GitHub profile

Why Join Techjays

• Claude Code is standard practice here, not a side experiment — you'll use it every day to ship faster and smarter
• Anthropic partner access — early visibility into frontier AI tools and capabilities before the market sees them
• Greenfield only — you'll design architecture, not inherit technical debt
• Global client exposure — your engineering decisions translate directly to measurable business outcomes for US enterprise clients
• Team pedigree — you'll learn alongside engineers who've shipped at real scale at Google, Akamai, and NetApp
• AI is the product here, not a feature. You'll spend your career at the intersection of software engineering and AI systems

What We're Looking For Beyond the Resume

• Builder mindset — you think in systems, not tickets
• Ownership — you take features from idea to production
• Structured thinking in ambiguous, fast-moving environments
• Clear communicator, collaborative team player

What We Offer

• Competitive compensation
• Hybrid work — Coimbatore office or remote flexibility
• Paid holidays and flexible time off
• Medical insurance for self and family (up to ₹4 Lakhs per person)
• Opportunity to work on production-grade AI systems for global clients
• A culture built on clarity, integrity, and continuous growth

Location: Coimbatore / Chennai — Hybrid Notice Period: Immediate to 30 days preferred

We are looking for a skilled and detail-oriented Data Analyst – Data Scientist (DA-DS) to join our team. This hybrid role involves analyzing large datasets to extract insights, build predictive models, and support data-driven decision-making. You’ll work closely with cross-functional teams to transform raw data into actionable insights using statistical techniques, data visualization, and machine learning tools.

This role involves a balanced commitment to teaching, research, mentoring, and institutional service. The Assistant Professor will deliver high-quality instruction to undergraduate and graduate students, conduct innovative research, supervise student projects, and contribute to curriculum development and departmental governance.

• Performs implementation of high level design and specifications.
• Develops low level design, class diagrams, flow charts.
• Performs Unit testing of individually developed components and fix errors, if any
• Assist in preparation of design, technical reference & operational documentation, packaging document in collaboration with the Lead.
• Strives for technology innovation in terms of exploring new and efficient ways of writing code
• Is responsible for writing simple, reusable code by following coding standards
• Ensure proper documentation of implementation and reviews.
• Ensure timely follow ups and escalations with leads with respect to any process gaps/risks/impediments.

• Strong Knowledge in Oracle Forms and Reports
• Should be familiar with various triggers, events , canvas, master child forms, record groups , build-ins, properties etc., in Forms and reports
• Strong Knowledge in SQL / PLSQL concepts
• Strong in Analytical and Aggregate functions
• Strong in writing Procedure / Function / Packages
• Strong knowledge in the user of Cursors / Collections / Exception handling
• Strong in Datatypes, Constrainsts , index
• Having exposure to JavaScript and ReactJS will be an added advantage

0 - 2  years of experience in business analysis and product development of mobile or web applications 
• Working with the stakeholders to formulate and define the Product Vision and Roadmap
• Developing requirements and use cases for business process flows
• Facilitating the definition of project scope, goals, and deliverables
• Managing the Product Backlog and its refinement
• Converting the requirements to Epics and user stories along with specifying the acceptance criteria
• Managing the prioritization of work in Product Backlog based on Product Roadmap
• Coordinating with cross-functional development team to impart requirement understanding including collaboration with the QA team on test cases
• Engaging with the stakeholders on project progress, required reports and value delivery