Senior UI/UX Designer

1. Candidate should have atleast 1 - 2 years of experience in React Native
2. Candidate should be from Startups, Product, ecommerce, Gaming, Mobile App development Companies.
3. Need strong profiles from good Product-based companies Only. ( Candidates from service-based organizations will not be a fit for the requirement ).
4. Mandatory expertise in React Native and JavaScript/Typescript, with good knowledge of the mobile app development ecosystem for Android and iOS.
5. Candidate should have Good and Strong knowledge of state management libraries such as Redux, MobX, Toolkit or similar.
6. Candidate should have Debugging & Testing Skills
7. Candidate's Fundamentals should be good
8. Candidate should have Experience of End to End -From Code to Deployment
9. Need candidate with 1-3 years of experience Only.

Role & Responsibilities

We’re hiring a Benefits Verification Specialist with 1–4 years of experience in US health insurance eligibility and benefits verification. You’ll be part of our operations team, helping verify insurance benefits for patients receiving speciality care in the U.S.

This is a full-time, in-office role based in Bangalore, with partial overlap with US hours.

Key Responsibilities:

• Perform insurance verification and eligibility checks for commercial and government payers (e.g., Medicare, Medicare Advantage, Medicaid, Managed Medicaid, VA, DoD).
• Validate coverage details including deductibles, co-pay/coinsurance, network status, referrals, prior authorization requirements, and J-code/CPT-code specific benefits.
• Contact payer representatives via phone or payer portals as needed.
• Push back on payer based on previous experience.
• Accurately document findings in internal systems.
• Collaborate with internal teams to resolve missing or mismatched data.
• Collaborate with technology teams to improve data/systems.
• Ensure timely completion of verifications with high accuracy and within defined SLAs.

Ideal Candidate

• Strong Benefit/ Insurance Verification Specialists profile
• Mandatory (Experience 1) – Must have minimum 6 months of hands-on experience in US healthcare insurance eligibility and benefits verification
• Mandatory (Experience 2) – Strong understanding of insurance types — Commercial, Medicare, Medicare Advantage, Medicaid, Managed Medicaid, HMO/PPO, VA, DoD, etc.
• Mandatory (Experience 3) – Experience in verifying deductibles, co-pay/coinsurance, prior authorization requirements, network status, and J-code/CPT/HCPCS-specific benefits.
• Mandatory (Experience 4) – Ability to accurately document benefit details and maintain data in internal systems (CRM, RCM, or EMR platforms)
• Mandatory (Experience 5) – Ability to accurately document benefit details and maintain data in internal systems (CRM, RCM, or EMR platforms)
• Mandatory (Skills) - Good communication skills (Must have calling experience to US audience for claims)
• Mandatory (Note) - Don't want post insurance verification profiles (Accounts receivables AR etc)
• Preferred (Experience) – Prior experience in specialty pharmacy, oncology, infusion therapy, or behavioral health benefit verification.

Perks, Benefits and Work Culture

• Be part of a team solving critical problems in healthcare automation
• High-ownership role in a startup culture with mentorship and fast learning
• Work closely with product and engineering teams building cutting-edge AI agents
• Contribute to improving access to care for patients across the U.S.

Job Title: QA Engineer – ETL & HL7 (Data Pipeline QA) Location: Remote – India (UK Working Hours)

Job Type: Full-Time Company: BigRio

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients

across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

Job Description:

We are seeking a highly skilled and detail-oriented QA Engineer with strong experience in ETL testing and HL7 validation to join our growing data engineering team. This role will focus on data pipeline testing, ensuring data accuracy, quality, and integrity as it moves

across systems and services in a healthcare-focused environment.

Key Responsibilities:

·        Design, develop, and execute test plans and test cases for ETL processes and data pipelines.

·        Validate data transformations, data integrity, and completeness across source and target systems.

·        Conduct end-to-end testing of HL7 messages and healthcare data flows.

·        Collaborate with developers, data engineers, and stakeholders to define test strategies and identify issues.

·        Automate QA processes wherever feasible using appropriate scripting and tools.

·        Perform root cause analysis and ensure timely defect resolution.

·        Ensure compliance with data quality standards and healthcare regulations.

Required Qualifications:

·        4+ years of experience in QA with a focus on ETL/data pipeline testing.

·        Hands-on experience with HL7 message formats and healthcare data exchange.

·        Strong understanding of data warehousing concepts, data mapping, and validation techniques.

·        Proficient in writing complex SQL queries for data validation.

·        Experience working with large datasets in a cloud or hybrid environment.

·        Familiarity with QA automation tools is a plus (e.g., PyTest, Selenium, JMeter).

·        Strong communication and documentation skills.

Nice to Have:

·        Experience with cloud data platforms like AWS, Azure, or GCP.

·        Prior experience in the healthcare or life sciences domain.

·        Knowledge of FHIR standards or healthcare interoperability.

Responsibilities:

• Make outbound calls to potential clients to introduce AI project offerings.
• Explain the benefits and features of our AI products and services.
• Answer questions and address client concerns confidently and professionally.
• Maintain detailed records of calls, customer interactions, and feedback.
• Schedule follow-up calls to build and maintain client relationships.
• Achieve daily and weekly call targets set by the team.
• Collaborate with the sales and marketing teams to refine pitch strategies.

Role Overview:

The AI Research Intern will focus on natural language processing (NLP) and working with large language models (LLMs). They will assist in refining and testing the retrieval-augmented generation (RAG) system for CopilotGTM.

Key Responsibilities:

• Assist in developing and refining NLP models to answer customer queries.
• Research and implement improvements to minimize hallucinations in the LLM.
• Test RAG model configurations and provide feedback to improve accuracy.
• Work with the engineering team to improve real-time product recommendations and responses.
• Analyze datasets and fine-tune models for specific use cases (e.g., sales, compliance).

Skills Required:

• Strong understanding of NLP and familiarity with LLMs (GPT, BERT, etc.).
• Basic coding experience in Python.
• Knowledge of data handling, data processing, and model training.
• Problem-solving ability and eagerness to experiment with new techniques.

Preferred:

• Experience with libraries like Hugging Face, PyTorch, or TensorFlow.
• Familiarity with retrieval-augmented generation (RAG) systems.

• Have 3 - 6 years of experience working in a high speed Product B2B start up doing Full-stack or ReactJS software development
• Have demonstrated experience in Front-end developer tooling, React js and its core principles
• Have experience with popular React js workflows (such as Hooks and Redux), React Material UI,Data structure libraries (e.g., Immutable js)and with RESTful APIs
• Have experience in debugging, problem-solving, and improving application performance. 
• Are willing to learning new technologies on your own.
• Have knowledge in best practices for the whole software development cycle (TDD/CI/CD) and agile methodologies.
• Have good knowledge of version control.
• Have the ability to use a wide variety of open source technologies and tools. 
• Have good communication ability and can articulate business needs and translate them into technology solutions. 

RESPONSIBILITIES AND QUALIFICATIONS

Responsibilities

+ Design, build and maintain low latency, high-performance electronic trading platform components, with a focus on market data, exchange and client connectivity and risk controls.

+ Deliver continuous optimization for latency, scale and resiliency improvements.

+ Participate in system builds for various markets globally, have curiosity and interest in understanding market microstructure details, work closely with engineering, sales and product teams globally for successful delivery of projects.

+ Basic Qualifications

+ Bachelors or Masters degree in computer science or engineering or equivalent experience

+ 5+ years of professional experience developing deterministic high performance, low latency systems in python/C++ (counted in single digit microseconds)

+ Prior experience with FIX and binary exchange connectivity and market data protocols preferred

+ Strong knowledge of object oriented programming, data structures, algorithms and design patterns

+ Critical path analysis, performance optimization and hardware acceleration.

+ Linux systems programming experience including memory management, concurrent programming infrastructure, and the networking stack

+ Experience developing distributed architecture systems and messaging protocols

+ Strong analytical and problem solving skills

+ Comfortable in a fast-paced environment, self-motivated, results driven and commercially focused

Preferred Qualifications

+ Software development in python/C++ in the context of high performance (low- latency, high-throughput) real-time computing.

+ Familiarity with STL and C++11 language extensions, Boost

+ Network programming (sockets, TCP/UDP/Multicast protocols)

+ Multi-threading, concurrent programming

+ Intimate knowledge of compilers, flow of data at hardware level (memory/ caches, buses) + Some experience with FPGA or other hardware acceleration technologies

+ Experience processing large static datasets as well as high volume ticking data sources

+ Over 3 years' experience in Financial industry (Plus)