Omni sports leader

We are looking for a highly skilled AI Platform Engineer to build and scale agentic AI capabilities across our product suite. You’ll work on multi‑agent systems, orchestration platforms, RAG pipelines, and real‑time AI services used in enterprise workflows.

🔹 Key Responsibilities

• Build and maintain AI platform services enabling agentic workflows
• Develop domain-specific agents (proposal generation, compliance, data analysis)
• Implement multi-agent orchestration using LangGraph and related frameworks
• Build APIs, SDKs, and integration layers for product teams
• Design and optimize RAG, GraphRAG, and knowledge ingestion pipelines
• Enhance orchestration platforms, WebSocket communication, and error recovery
• Optimize performance, latency (<3s), cost, and reliability of AI systems
• Collaborate closely with ML engineers and data scientists on models, prompts, and A/B testing

🔹 Required Skills & Experience

• 5+ years of software engineering experience (1–2+ years in AI/ML systems)
• Strong Python (FastAPI, async, LangChain/LangGraph)
• Experience with LLM APIs (OpenAI, Claude, Llama, Phi‑3)
• Hands-on RAG, embeddings, vector databases, and hybrid search
• React + TypeScript experience (WebSockets, hooks, real-time UI)
• Knowledge of multi-agent systems, prompt engineering, and orchestration patterns
• Solid backend fundamentals: REST APIs, databases, auth, testing, Git

🔹 Nice to Have

• MLOps exposure (prompt versioning, monitoring, A/B testing)
• Experience with semantic caching and context management
• Docker and cloud deployment basics

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

• PHP / Laravel developer duties and responsibilities

• Develop, record and maintain cutting edge web-based PHP applications on portal plus premium service platforms

• Build innovative, state-of-the-art applications and collaborate with the User Experience (UX) team

• Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications

• Prepare and maintain all applications utilizing standard development tools

• Utilize backend data services and contribute to increase existing data services API

• In depth knowledge of object-oriented PHP and Laravel 5 PHP Framework

• Hands on experience with SQL schema design, SOLID principles, REST API design

• MySQL profiling and query optimization

• Java
• Spring Boot
• Database (Preferably Mysql)
• Multithreading
• Low Level design (Any Module)
• Github
• Leetcode
• data structure

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Minimum 1 years of experiance in ROR or Angular.
• Excellent communication and teamwork skills
• Great attention to detail
• An analytical mind

We are looking for a visionary Senior Network Engineer manager to join and run an engineering team .You will be working at the forefront of the world's financial markets, building connectivity across the globe, and integrating some of the most complex networks in the financial services industry. Automation should be second nature for our ideal candidate.

Additional duties include:

• Design, implement and operate trading network. Whether it is investigating a new, innovative products, refreshing one of our low latency trading systems or troubleshooting with a 3rd party, you'll thrive on being impactful within a fast-moving, varied environment.

• Transforming our way of working with automation and scale. We know the network industry is changing, and this is your chance to make that change, collaborating with software engineers with proven track records of solving complex problems through automation and software.
  
  
  
  • Required skills:
    
    • 3-10 years of experience in network engineering
    • Expert in routing and switching – BGP/OSPF/Multicast
    • Deep understanding of TCP/IP and the OSI model
    • Excellent communication and writing skills, and ability to communicate effectively to senior management
    • Humility
    • A love of technology in general
  • Highly desired skills:
    
    • CCIE Certified or Studing for CCIE.
    • Comfortable working with various Linux utilities and different OS
    • Network security, including firewalls Fortinet/Palo Alto/CheckPoint
    • A bachelor's degree, preferably in IT, Computer Science or other related discipline

About the Company

Leap Info Systems Pvt. Ltd. - A software product company with its products and solutions in the convergent lighting controls and automation. Recently Leap acquired elitedali – worlds first Niagara based lighting controls and automation solution, from one of the leading US organization.

We are a passionate team on a mission to develop innovative controls and automation products. We are expanding our product development team and are in search of like-minded highly passionate team members who would like to contribute to the leading lighting controls and automation product. We have customers in India, Europe, USA, and Australia.

Eligibility

Any suitable graduates (0 to 2 years experienced) who meet prescribed qualities and job responsibilities. Preferred but not limited to engineering graduate in Computer/IT/Instrumentation/EnTC etc.
Job Responsibilities

Be a part of the product development team for maintaining as well as developing new products based on JAVA and Niagara Software framework.

Qualities

• Self-Learner
• Analytical skills
• Able to work with Cross-functional team
• Problem-solving approach
• Good Team Player with Positive vibes

What you must have,

• Hands-on programming at academic or at the hobby level.
• Good knowledge of Java/J2EE related technologies
• Good knowledge of solution-based approaches
• Good communication skills - phone, email and in-person.

What you can expect from LEAP,

• Positive conducive working environment to grow with cross-functional team members.
• Flexi working hours with defined responsibilities.
• Opportunity to work with leading open standard automation framework like Niagara Software, Lighting controls technologies like DALI, Wireless etc
• Be the active part of an emerging global product company