CyberNova Tech () is a growing technology solutions company specializing in custom development, secure digital solutions, innovative IT consulting and CyberSecurity solutions for North American clients.

We are hiring a SugarCRM Developer to join our remote team of 3 developers. You'll work closely with our senior SugarCRM developer who will mentor you on CRM architecture, customizations, and best practices. This is a 100% remote position with core working hours aligned to Eastern Standard Time (EST) — you must be available for collaboration from 9:00 AM to 5:00 PM EST (roughly 7:30 PM to 3:30 AM IST). If you are productive and focused during evening/night hours and thrive in a quiet, distraction-free environment, this could be an excellent fit.

Must-Have Skills & Experience:

• Strong proficiency in PHP (modern PHP 8+ preferred)
• Solid hands-on experience with Python
• Working knowledge of Relational Databases, especially MySQL
• Comfortable working in Linux environments
• JavaScript experience
• Experience building and integrating REST APIs
• Proficient with Git for version control
• Strong problem-solving ability — skilled at tracing and debugging bugs across multi-layer systems
• SugarCRM platform customization experience (or strong PHP + Python fundamentals + willingness to learn SugarCRM)

Nice-to-Have Skills (Significant Advantage):

• CRM platform customization and data modelling - SugarCRM, SalesForce or others
• Building Python ETL pipelines
• Experience with Apache Server, CRON jobs, Regex, and data cleaning
• Cloud hosting (AWS or similar)
• Basic understanding of security best practices

Important Note: Candidates with strong Python experience and a genuine willingness to self-learn and adopt PHP are warmly encouraged to apply. We prioritize growth mindset over perfect current stack alignment.

What You'll Work On:

• Design and build custom SugarCRM modules and workflows
• Integrate third-party systems with SugarCRM APIs
• Lead data migrations and platform upgrades
• Collaborate with clients to translate business requirements into CRM solutions
• Mentor junior developers as you grow (future opportunity)

Who We're Looking For:

• High willingness to learn new technologies and tools
• Relentless pursuit of solutions — you keep exploring different angles until the problem is solved
• Curious about emerging innovations, AI development, and new technologies
• Ability to find creative solutions to real business problems
• Self-starter who can work independently on assigned modules, while being coachable and eager to learn CRM architecture from our senior developer
• Collaborative: You'll participate in code reviews and learn best practices from our lead SugarCRM developer
• Passion for ongoing innovation and improving business delivery

This is a hands-on technical role. We provide thorough training and guidance on our tools, processes, and solutions. However, you will be expected to take ownership and continuously upskill.

Work Arrangement:

• Full Time - Fully Remote (work from anywhere in India with reliable high-speed internet)
• Core hours: 9 AM – 5 PM EST (Indian evening to late night)
• We respect work-life balance and support flexible scheduling within the required window

Experience: 1–3 years of relevant development experience.

Why Join CyberNova Tech?

• Work on diverse, meaningful projects with modern PHP/Python stacks and CRM customizations for international clients
• Direct mentorship from our senior SugarCRM developer — hands-on guidance on CRM architecture, customizations, and industry best practices
• Supportive, innovation-driven culture that values curiosity and creative problem-solving
• Opportunity to grow your skills while delivering high-impact solutions

If you're a motivated developer comfortable with evening/night productivity and excited about blending PHP, Python, APIs, and CRM systems, we'd love to hear from you.

Apply with your resume and a short note telling us:

• Why this role interests you
• Your experience with PHP/Python and any complex bug-tracing stories
• Your comfort level working EST hours
• Your current CTC
• Your expected CTC

We review applications on a rolling basis.

#PHP #Python #SugarCRM #BackendDeveloper #RemoteDeveloper #FullStack #MySQL #RESTAPI #Linux #Hiring #CyberNovaTech #RemoteWork

Compensation: We offer competitive compensation based on skills and experience

At UNLOX®, we are redefining education by focusing on the experience of learning. Our belief — “Learning Must Be Easy” — drives us to create accessible, engaging, and life-changing learning journeys.

We are building India’s first complete AI-driven learning ecosystem, connecting learners, universities, and industry partners through intelligent, hands-on training. With innovations like AI Mentors (Blu), SmartLabs, and Edulet Tablets, we are reimagining how India learns.

Based in Bengaluru, UNLOX® is committed to helping learners unlock their potential and experience education the Unlox way.

The Opportunity

( Hybrid / Work From Home )

We are looking for a passionate, full-time Investment Banking & Stock Market Instructor to join our team. In this role, you will lead our Job Bridge Programs, guiding learners from core financial foundational concepts to advanced algorithmic trading, corporate valuations, and complex deal structuring.

If you are a finance professional, research analyst, or investment banker who loves teaching, mentoring, and breaking down real-world financial data into actionable, industry-ready skills, this is the perfect opportunity for you.

Key Responsibilities

• Lead Hands-On Sessions: Conduct engaging and practical training spanning both Stock Markets and Global Finance & Investment Banking tracks.
• Project Mentorship: Guide students through 10+ Live Projects powered by UNLOX SmartLabs, reviewing weekly tasks like Valuation Reports, Technical Trade Journals, Option Strategy Simulations, and Startup Pitch Decks.
• Facilitate Advanced Simulations: Supervise deep-dive capstone projects including Multi-Method Valuations (DCF, Comparables, Precedents), IPO pricing, M&A synergy modeling, and LBO template builds.
• Integrate AI & Fintech Tools: Train students on modern digital tools and AI integrations (e.g., ChatGPT/Excel Copilot for financial forecasting, Bloomberg AI, FactSet Copilot).
• Evaluate & Provide Feedback: Review simulated futures/options trades and portfolio creation performance, delivering constructive real-time feedback.
• Foster Career Readiness: Prepare students for trending market roles (e.g., Equity Research, Financial Analyst, Stock Market Trader, M&A Associate) through mock interviews, resume writing, and portfolio building.

Skills and Expertise Required
Technical Skills

• Fundamental & Equity Analysis: Deep comprehension of Financial Statements (P&L, Balance Sheet, Cash Flow) and ratio analysis (P/E, EPS, ROE, ROCE).
• Technical Analysis & Trading: Expertise in price action, candlestick charts, indicators (RSI, MACD, Bollinger Bands), and derivatives (Futures & Options strategy execution).
• Financial Modeling & Forecasting: Proficiency in 3-Statement financial models, revenue/cost modeling, scenario/sensitivity tools, and valuation methodologies (DCF, Relative Valuation).
• Advanced Deal Workflows: Familiarity with Investment Banking workflows (Origination to Closing), Pitch Books, Cap Table simulations, and due diligence benchmarks.
• Platform & Financial Software Mastery: Hands-on experience with platforms like Excel, TradingView, Screener.in, Sensibull, PitchBook, FactSet, or Capital IQ.
• Algo Trading & Python Basics (Preferred): Basic familiarity with intraday strategies, backtesting platforms (Streak / AlgoTest), and Python trading bots.

Soft Skills

• Exceptional communication skills with the power to translate complex market structures and financial terminology into simplified, digestible material.
• A high degree of data discipline, risk psychology management, and analytical thinking.
• Genuine empathy and enthusiasm for nurturing a community of learners.

Experience & Background

• Minimum 1–2+ years of core financial sector experience (Investment Banking, Equity Research, Corporate Finance, Portfolio Management, or Professional Trading).
• Candidates holding certifications/degrees like CA, CFA, FRM, or an MBA in Finance will be highly preferred.

Compensation

💰 Salary: ₹30,000 per month

Why Join UNLOX®

• Pioneer Future EdTech: Work within India’s fastest-growing ecosystem leveraging Blu (Personalized AI Mentor) and virtual SmartLabs to disrupt how finance is taught.
• Workplace Flexibility: Enjoy a reliable and supportive Hybrid / Work From Home system managed out of Bengaluru.
• Real Impact: Guide thousands of ambitious students out of traditional academic limitations and directly into top tier, lucrative financial professions.
  

Founding Teams is a stealth AI Tech Incubator & Talent platform. We are supporting the next generation of AI startup founders with the resources they need including engineering, product, sales, marketing and operations staff to create and launch their product.

The ideal candidate will have a passion for next generation AI tech startups and working with great global startup talent.

About the Role:

We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team.

Responsibilities:

• Lead the end-to-end development of machine learning models, from prototyping to production deployment.
• Architect scalable ML pipelines and infrastructure.
• Work closely with data scientists to transition research models into robust production systems.
• Collaborate with engineering teams to integrate ML models into applications and services.
• Manage and mentor a team of machine learning and data engineers.
• Establish best practices for model development, evaluation, monitoring, and retraining.
• Design experiments, analyze results, and iterate rapidly to improve model performance.
• Stay current with the latest research and developments in machine learning and AI.
• Define and enforce ML model governance, versioning, and documentation standards.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required).
• 5+ years of professional experience in machine learning engineering.
• 2+ years of leadership or technical mentoring experience.
• Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.).
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning).
• Experience building and maintaining ML pipelines and data pipelines.
• Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services).
• Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment.
• Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility.
• Experience with Docker and container orchestration (e.g., Kubernetes).

Preferred Skills:

• Experience with feature stores (e.g., Feast, Tecton).
• Knowledge of distributed training (e.g., Horovod, distributed PyTorch).
• Familiarity with big data tools (e.g., Spark, Hadoop, Beam).
• Understanding of NLP, computer vision, or time series analysis techniques.
• Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases).
• Experience with model explainability techniques (e.g., SHAP, LIME).
• Familiarity with reinforcement learning or generative AI models.

Tools & Technologies:

• Languages: Python, SQL (optionally: Scala, Java for large-scale systems)
• ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM
• MLOps: MLflow, Weights & Biases, Kubeflow, Seldon Core
• Data Processing: Pandas, NumPy, Apache Spark, Beam
• Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask
• Cloud Platforms: AWS (SageMaker, S3, EC2), Google Cloud AI Platform, Azure ML
• Orchestration: Docker, Kubernetes, Airflow
• Databases: PostgreSQL, BigQuery, MongoDB, Redis
• Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases
• Version Control: Git (GitHub, GitLab)
• Communication: Slack, Zoom
• Project Management: Jira, Confluence

KairoPact Private Limited

Location: Remote-first (India)  ·  Level: Senior  ·  Type: Full-time

Reports to: CTO  ·  Dotted line: COO

About KairoPact

KairoPact delivers AI-augmented strategy and programme consulting to NGOs, donors, and CSR organisations across South Asia, Africa, and the Middle East. We build proprietary AI infrastructure that amplifies human judgement — giving experienced practitioners research, synthesis, and structured analysis at a fraction of traditional consulting cost and time.

The Role

You will join as a Senior AI Engineer on the Axon™ platform — KairoPact’s internal AI intelligence engine — with a clear pathway to Lead AI Engineer as you grow into the role.

The role spans the full journey: from implementing technical strategy and architectural standards set by the CTO, to progressively owning day-to-day technical execution. You’ll work across the entire stack — agent pipelines, LLM routing, observability, retrieval, and data engineering.

This is not a role for someone who wants close management. It suits an engineer who is ready to own, and who sees a structured ramp-up as a springboard rather than a safety net.

What You’ll Do

●     Translate CTO architectural direction into actionable engineering — then progressively take greater ownership of those decisions as you build deep familiarity with the platform.

●     Drive full-stack delivery with the team — owning end-to-end implementation, not just individual components.

●     Design and evolve multi-agent pipelines — sequenced workflows with conditional routing, structured outputs, and human review gates.

●     Own the LLM routing layer — model selection, fallback logic, per-call cost tracking, and provider management across frontier models.

●     Drive end-to-end observability — every agent step, decision, token cost, and failure mode instrumented and reproducible.

●     Build knowledge retrieval systems — semantic search with structured filtering, namespace isolation, and data privacy controls.

●     Own backend data engineering — schema design, migrations, idempotency patterns, and multi-tenant isolation.

●     Lead code review and engineering standards; mentor and unblock the junior AI Engineer.

●     Keep the codebase and documentation in tight sync with the architecture specification.

What We’re Looking For

Required

●     4+ years of software engineering experience, with at least 2 years focused on production AI/ML systems.

●     Proven experience owning or leading delivery on an AI product or platform — not just contributing to one.

●     Deep hands-on experience with agentic AI systems — multi-step pipelines, tool use, structured orchestration, multi-agent coordination.

●     Strong Python: async programming, type annotations, clean architecture, testing discipline.

●     Experience with LLM routing or orchestration frameworks (e.g. LangChain, LlamaIndex, DSPy, or equivalent).

●     Able to engage with architectural decisions — ask good questions, understand trade-offs, and implement accurately from a technical spec.

●     Strong written communication — clear thinker who can document decisions and communicate trade-offs concisely.

Preferred

●     Experience with LLM observability tooling (LangSmith, Weights & Biases, Helicone, or similar).

●     FastAPI or similar async Python web frameworks.

●     Vector databases and hybrid retrieval architectures.

●     Docker and container-based development workflows.

●     Prior experience as a tech lead, staff engineer, or founding engineer.

●     Interest in the NGO, development sector, or social impact space.

What We Offer

●     Early, meaningful responsibility for a technically sophisticated platform — with a clear, named progression to Lead AI Engineer, not a vague promise.

●     Direct access to the CTO for architecture decisions, code review, and engineering craft — without layers in between.

●     The chance to mentor a junior engineer and shape how the team works.

●     Exposure to strategy consulting in the NGO/CSR sector — work that has real-world impact.

●     Fully remote, async-first — we care about output, not hours.

KairoPact is an equal opportunity employer. We actively welcome applications from candidates of all backgrounds, including those underrepresented in the technology industry.

To apply, send your CV, a link to your GitHub profile or equivalent work samples, and a brief note on why this role to .

📍 Role Details

Role: Senior Full-Stack Developer (Data Platform)

Experience: 5+ Years

Location: Remote

Employment Type: Full-time

🏢 About Mailin.ai

Mailin.ai is building infrastructure for scalable cold outreach. We help businesses create and manage large numbers of email accounts through automation, dedicated servers, and API-driven workflows — enabling significantly better deliverability and lower operational costs compared to traditional providers.

As we expand our platform capabilities, we’re now building a B2B data platform that will power internal systems, customer-facing APIs, and data-driven workflows at scale.

We operate as a fully remote, high-ownership engineering team focused on speed, execution, and building technically strong products.

🔍 About the Role

We’re hiring a Senior Full-Stack Developer to help architect, build, and own our core data platform.

You’ll initially work alongside our lead engineer to ship the first production version, then take long-term ownership of the platform as it scales.

This is a highly ownership-driven role for someone comfortable working on API-first systems, indexing/search infrastructure, and scalable B2B SaaS products.

🛠️ What You’ll Build

You’ll work on a B2B data platform that:

•          Ingests and indexes large datasets from third-party vendors

•          Serves data through a performant API layer

•          Powers a clean, scalable web application experience

•          Handles efficient querying, indexing, and search workflows

The data ingestion pipeline itself is handled separately — your primary focus will be:

•          API architecture

•          Query performance

•          Search/indexing systems

•          Platform scalability

•          Web application development

💻 Tech Stack

•          Backend/API: GoLang

•          Frontend: Laravel + Vue.js

•          Search & Indexing: Elasticsearch, Typesense, or equivalent

✅ Required Skills

•          5+ years of full-stack development experience

•          Strong production experience with Go, specifically building APIs

•          Strong experience with Laravel and Vue.js

•          Hands-on experience with Elasticsearch, Typesense, or similar indexing/search tools

•          Experience building API-first platforms or data-heavy products

•          Background working in B2B SaaS environments

•          Ability to work independently and take ownership of a product area

➕ Nice to Have

•          Experience scaling APIs under real production/query load

•          Familiarity with vendor data ingestion or ETL-adjacent workflows

•          Experience working in startup or high-ownership environments

🌟 Why Join Mailin.ai

•          Build core infrastructure from the ground up

•          High ownership and technical autonomy

•          Work on real scaling and performance challenges

•          Fully remote engineering culture

•          Opportunity to shape long-term platform architecture

FoundingTeams .ai is a AI pre accelerator and talent platform. We help AI founders to find the best engineering, design and marketing talent.

Lead Frontend Engineer

About the Role

We’re looking for a Lead Frontend Engineer to own the architecture, development, and quality of our web applications. You’ll be responsible for building fast, scalable, and user-friendly interfaces while setting frontend standards and mentoring other engineers.

This role is hands-on and strategic — you’ll write production code, make technical decisions, and work closely with product, design, and backend teams.

Key Responsibilities

Technical Leadership

• Own the frontend architecture and technical roadmap
• Define and enforce coding standards, performance, and best practices
• Lead code reviews and mentor frontend engineers
• Make decisions on frameworks, libraries, and tooling

Development

• Build and maintain high-quality web applications
• Translate designs and product requirements into clean, performant UI
• Implement responsive, accessible, and cross-browser experiences
• Integrate frontend applications with backend APIs
• Optimize applications for speed, scalability, and usability

Collaboration

• Work closely with:
• Product managers to shape requirements and delivery
• Designers to ensure pixel-perfect UI and great UX
• Backend engineers on APIs, data contracts, and performance
• Participate in sprint planning, estimation, and technical discussions

Quality & Delivery

• Ensure frontend code is:
• Testable
• Maintainable
• Well-documented
• Own frontend release processes and CI/CD pipelines
• Monitor performance, bugs, and user feedback

Required Skills & Experience

Must Have

• 5+ years of frontend development experience
• Strong expertise in JavaScript / TypeScript
• Extensive experience with React.js (or similar modern frameworks)
• Solid understanding of:
• HTML5, CSS3, modern layout systems
• State management (Redux, Zustand, React Query, etc.)
• REST APIs and async data handling
• Experience building and maintaining production web apps
• Familiarity with Git, CI/CD, and modern build tools

At StatusNeo, we are committed to redefining the way businesses operate. As a leader in digital transformation, we leverage cutting-edge technologies and innovative strategies to empower organizations around the globe. Our partnerships with industry giants and our commitment to continuous learning and improvement provide an unparalleled platform for professional growth. Embrace a career at StatusNeo, where we value diversity, foster a hybrid work culture.

Responsibilities:

• Design, develop, and maintain efficient, reusable, and reliable Java code.
• Implement performance and quality modules that align with project demands.
• Identify bottlenecks and bugs, and devise solutions to these problems.
• Help maintain code quality, organization, and automatization.
• Collaborate with a team to define, design, and ship new features.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proficient in Java and familiar with its ecosystems (Spring, Hibernate).
• Strong understanding of object-oriented programming principles.
• Experience with web development technologies like HTML, CSS, and JavaScript.
• Familiarity with database systems such as MySQL, PostgreSQL, or Oracle.
• Excellent problem-solving and analytical skills.

Why Build Your Career With Us?

• Competitive compensation and benefits designed to reward your contributions
• Work–life balance supported by flexible policies and a positive culture
• Collaborate with leading global tech companies on impactful projects
• Accelerate your professional growth with continuous learning and career development opportunities
• Be part of a thriving community in the fast‑growing tech industry

Experience: 5–8 Years

Duration: 6-12 Months Contract

Location: Remote (Initial 1-week onboarding from Trivandrum/Kochi office mandatory)

Employment Type: contract

Notice Period: Immediate Joiners Preferred

About the Role

We are seeking a highly skilled Senior AI Security & Governance Engineer to design and implement runtime security and governance controls for enterprise AI systems. This role focuses on embedding responsible AI mechanisms directly into production environments through scalable, code-driven solutions rather than policy documentation alone.

The ideal candidate will have strong expertise in AI security, governance automation, runtime risk mitigation, and enterprise compliance practices. You will play a key role in safeguarding AI applications against risks such as hallucinations, prompt injection, misuse, and sensitive data leakage while enabling secure AI innovation at scale.

Key Responsibilities

• Design and implement AI runtime security controls including:
• Prompt filtering
• Output validation
• Misuse prevention mechanisms
• Runtime guardrails
• Develop automated governance and compliance controls for AI systems
• Build auditability, monitoring, logging, and traceability frameworks for AI workflows
• Create reusable safety and governance patterns across enterprise AI agents and applications
• Identify and mitigate AI-related risks including:
• Hallucinations
• Prompt injection attacks
• Data leakage scenarios
• Unsafe model behaviors
• Implement scalable runtime control systems to improve:
• Security
• Explainability
• Compliance
• Reliability
• Collaborate with engineering, governance, compliance, and security teams to ensure responsible AI deployment
• Proactively identify vulnerabilities, misuse scenarios, and edge cases in AI systems

Required Skills & Experience

• 5–8 years of relevant experience in security engineering, governance engineering, or AI security
• Strong hands-on experience with Python and scripting
• Experience working with:
• Security or governance-related systems
• Policy-as-code frameworks
• Rule engines
• Runtime enforcement mechanisms
• Strong understanding of:
• AI hallucinations
• Prompt injection vulnerabilities
• Data leakage risks
• Enterprise AI governance principles
• Compliance and security best practices
• Ability to design and implement scalable runtime controls for AI applications
• Strong analytical and problem-solving skills with a security-first mindset

Preferred Skills

• Experience with:
• Saviynt
• ServiceNow
• IAM (Identity & Access Management) systems
• Approval workflow systems
• Exposure to:
• Responsible AI frameworks
• Model risk governance frameworks
• Enterprise security and compliance environments

Educational Qualification

• Bachelor’s degree in Computer Science, Information Technology, or a related field

What We’re Looking For

• A technically strong engineer passionate about AI security and governance
• Someone who can balance innovation with enterprise risk management
• Strong ownership mindset toward runtime safety and compliance
• Ability to proactively identify vulnerabilities, misuse cases, and operational risks in AI systems