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Required Skills: Advanced Flutter & Dart Expertise, Scalable Mobile Architecture Design, Performance Optimization & Profiling, OTT & Media App Engineering, Code Quality, Leadership & Cross-Functional Collaboration
Criteria:
- 6+ years of total software development experience with minimum 3+ years in Flutter
- Product-based company experience is mandatory (B2C scale preferred)
- Proven ability to own end-to-end Flutter mobile architecture for high-scale apps
- Strong expertise in Dart, Flutter SDK internals, and advanced state management (Bloc / Riverpod / Provider)
- Hands-on experience with platform channels and native integrations (Android & iOS)
- Deep knowledge of performance optimization: app startup time, FPS, memory leaks, widget rebuilds, rendering pipeline
- Experience with profiling tools (Dart DevTools, Android Profiler, Xcode Instruments)
- Strong skills in offline-first architecture, caching layers, and API integrations
- Ability to optimize video playback, downloads, DRM, and OTT workflows
- Strong command of clean code, SOLID principles, and scalable mobile system design
- Experience reviewing code and mentoring engineers (Senior IC role)
Description
Role Overview
We are looking for an experienced Flutter SDE III who can take complete ownership of architecture, performance optimization, and app scalability for our OTT mobile applications. This is a senior individual contributor role requiring deep technical expertise and the ability to influence design decisions at a product level.
Key Responsibilities
1. Architecture & Design (High-Impact IC Role)
• Own the end-to-end architecture of company’s Flutter mobile applications.
• Design scalable, modular, testable app ecosystems aligned with OTT-specific performance constraints.
• Lead decisions around state management, navigation hierarchy, API structure, offline capabilities, and security.
2. Performance & Device Optimization
• Diagnose and resolve mobile performance bottlenecks, including:
o App startup time, FPS drops, memory leaks.
o Heating issues, over-rendering, and expensive widget rebuilds.
o Battery optimization, efficient network calls, caching strategy.
• Run in-depth profiling using tools like Dart DevTools, Android Profiler, and Xcode Instruments.
3. OTT-Specific Engineering
• Optimize video playback workflows for low-latency streaming.
• Implement efficient background processes for downloads, DRM, content sync, and push notifications.
4. Product & User Experience Ownership
• Collaborate closely with Product, Backend, and Video Engineering teams.
• Convert business/product requirements into high-performance technical solutions.
• Ensure UI/UX consistency across platforms while maintaining performance budgets.
5. Code Quality & Leadership
• Write clean, extensible, and maintainable code with strong adherence to SOLID and reactive programming principles.
• Review code for mid-level and junior engineers; act as a mentor across teams.
• Establish engineering standards, internal frameworks, and reusable components for long-term scalability.
Required Skills & Experience
Technical Must-Haves
• 6+ years of total experience with 3+ years in Flutter for large-scale products.
• Mandatory product-based company background (B2C scale preferred).
• Strong expertise in:
o Dart, Flutter SDK internals
o Bloc, Riverpod, Provider, or other state management approaches
o Custom animations, rendering pipeline, shader-based optimization
o Platform channels (Android/iOS) and native integrations
o API integration, caching layers, offline-first architecture
• Strong understanding of mobile system design, scalable architecture, and low-level performance engineering.
Good to Have
• Experience with video streaming apps, OTT platforms, or media-heavy applications.
• Understanding of analytics frameworks (Firebase, Segment, Mixpanel).
• Exposure to CI/CD pipelines, automated testing, and fastlane.
Personality & Mindset
• Product thinking, not just feature-building.
• Ownership-driven with strong ability to take strategic technical decisions.
• Comfortable working in a fast-paced 0→1 and scale-up environment.
Why Join company?
• Work on a high-growth OTT app with millions of users.
• Opportunity to own the core mobile experience end-to-end.
• Build impact-heavy features at scale with a lean, highly skilled engineering team.
AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.
This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.
You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.
You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.
Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)
Responsibilities:
- Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
- Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
- Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
- Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
- Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
- Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
- Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
- Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.
Requirements
- 2-5 years of experience building machine learning or AI systems in production environments.
- Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
- Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
- Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
- Experience building or extensively customizing agent frameworks for real-world applications.
- Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
- Strong Python engineering skills with a focus on scalable and reliable system design.
Nice to Have:
- Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
- Experience building multi-agent or collaborative agent systems.
- Experience designing evaluation frameworks for agent robustness and reliability.
- Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
- Familiarity with distributed task orchestration systems and large-scale AI workflow management.
We are seeking a skilled Techno-Functional Consultant with deep expertise in Oracle Cloud HCM,
specializing in Payroll and Time and Labor and Fast Formula creation. This role involves
collaborating with cross-functional teams to deliver high-quality Oracle HCM solutions, ensuring
data integrity, system efficiency, and alignment with business needs.
Key Responsibilities:
Design and implement technical solutions for Oracle Cloud HCM with a focus on
maintaining data integrity and optimal system performance.
Should be able to debug production payroll issues and provide resolutions.
Should be able to debug production Time and Labor issues and provide resolutions.
Leverage tools such as HCM Data Loader, HCM Extracts, and BI Publisher to execute
seamless data loading, reporting, and extraction processes.
Collaborate with end-users to verify that technical components align with specified
business needs and are defect-free.
Develop and conduct thorough unit, integration, and regression testing to ensure technical
components are robust and reliable.
Resolve any identified issues efficiently, ensuring high-quality deliverables.
Technical Expertise:
Utilize in-depth understanding of Oracle HCM Cloud architecture, data model, and
associated technical components.
Engage in complex Fast Formula development to support bespoke client requirements.
Functional skills to support Payroll and Time and Labor modules.
Qualifications:
Bachelor’s degree in computer science, Information Technology, or related field.
A minimum of 6 years of experience in Oracle HCM Implementation.
Excellent analytical, problem-solving, and communication skills.
Preferred technical expertise:
Proficiency in Oracle Cloud HCM Fast Formulas, Payroll and OTL Support
🚨 Priority Requirement – Salesforce Architect
📍 Locations: Bengaluru, Mumbai, Hyderabad, Delhi, Mohali, Pune
⏰ Shift: Noon
We are hiring a Salesforce Solution Architect to lead transition from Salesforce Classic to Lightning.
Why this role matters:
This position will drive scalable, user-friendly solutions leveraging native Salesforce capabilities, reducing custom technical debt, and enabling a seamless associate experience across resident services and call centers.
Key Responsibilities:
Lead the end-to-end migration strategy from Classic to Lightning.
Redesign data models (standardize Leads/Opportunities where applicable).
Configure Lightning features: Dynamic Forms, Flows, Omni-Channel, Lightning Pages.
Recommend and implement AppExchange solutions.
Collaborate with cross-functional teams to deliver incremental releases.
Ensure compliance with security, profiles, and permission sets.
Act as a trusted advisor for Salesforce roadmap planning.
Qualifications:
✔ 6+ years Salesforce experience (3+ years in Lightning).
✔ Strong expertise in Service Cloud, Marketing Cloud, case management & digital engagement.
✔ Hands-on Classic-to-Lightning migration experience.
✔ Deep understanding of low-code/no-code tools (Flows, Dynamic Actions).
✔ Salesforce Certified Application/Solution Architect (preferred).
✔ Excellent communication & stakeholder management skills
If this is inline with what you are looking at, please share your resume here
Managing Engineering team members , inclusive of Development and Quality Assurance teams
and driving new features and functionality to the Interactions Artificial Intelligence Platform
offerings.
Technically hands on and contributing to the creation of a massively scalable, highly available
SaaS/ PaaS platforms
Be a technical team lead, in addition to people manager, managing and ensuring success of
technical teams
Provide a clear vision for the team to act on and ensure team members are performing at the
needed level to successfully execute goals.
Effectively manage multiple projects, timelines and initiatives at the same time.
Experience working with all phases of the Software Development Lifecycle – ranging from
architecture and design to implementation and testing.
Troubleshooting and fixing issues
Excellent oral and written communication skills and ability to effectively communicating within
and outside the team
Bring new technical ideas to fruition by prototyping new ideas and transforming research Proof
of Concepts into production ready software
Responsible for hiring and managing a talented team to design, build and ship next generation
products
Ability to travel – upwards of 20%
Required Skills & Experience:
10+ years of engineering experience working on systems/algorithm-level programming in
Java/Python
Experience with SQL and/or NOSQL databases
Experience working on products based on a distributed architecture deployed in multiple geo-
redundant CoLo/Cloud data centres.
3+ years of experience managing, growing and building Dev and QA teams.
Ability to operate in a highly ambiguous, rapidly evolving agile environment.
Leading strong technical teams with a maniacal focus on reliability and scalability
Hands-on manager who can also contribute in code
Knowledge of Linux operating system fundamentals
Experience working with the agile development methodology
Experience working in a fast paced environment
Experience building complex backend products like Speech Recognition Engines, Databases, etc.
Bachelors or Master’s degree in Computer Science or equivalent qualification
Desired Skils (Good to have):
Prior experience with NLP/voice technologies.
Prior experience with AI and machine learning technologies just as tensorflow, pytorch, and
scikit-learn.
Experience building real-time conversational systems leveraging SIP, webRTC, websockets, or
XMPP
Experience with profiling and troubleshooting large scale, concurrent and multi-threaded JVM
based languages (Java)
Experience with asynchronous, event driven architectures
Supervisory Responsibility:
This role will manage a group of developers as well as QA Engineers
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