Product Designer

A Desktop Support Engineer is responsible for providing technical support and assistance to end-users in an organization. This role involves troubleshooting hardware and software issues, ensuring that desktop systems are functioning efficiently, and maintaining a high level of customer satisfaction. 

Key Responsibilities:

- Respond to user inquiries and provide technical support via phone, email, or in-person.

- Diagnose and resolve hardware and software problems, including operating systems, applications, and network connectivity issues.

- Install, configure, and upgrade desktop hardware and software, ensuring compliance with company standards.

- Maintain inventory of desktop equipment and software licenses, ensuring proper documentation and tracking.

- Collaborate with IT teams to implement new technologies and improve existing systems.

- Provide training and support to users on new software applications and tools.

- Assist in the setup and deployment of new workstations and peripherals.

- Monitor and maintain system performance, applying updates and patches as necessary.

- Document technical procedures and solutions for future reference.

Qualifications:

- Bachelor’s degree in computer science, information technology, or a related field, or equivalent experience.

- Proven experience in a desktop support role or similar technical support position.

- Strong knowledge of Windows and macOS operating systems, as well as common software applications.

- Familiarity with networking concepts and troubleshooting techniques.

- Excellent problem-solving skills and the ability to work under pressure.

- Strong communication skills, both verbal and written, with a customer-focused attitude.

- Relevant certifications (e.g., CompTIA A+, Microsoft Certified Desktop Support Technician) are a plus.

This role is essential for maintaining the productivity of employees by ensuring that their desktop environments are operational and efficient. A successful Desktop Support Engineer will be proactive, detail-oriented, and able to work independently as well as part of a team.

Job Description: Implementation Manager / Solution Implementation Lead

(Tech + Customer-Facing Role)

About the Role

We are looking for an Implementation Manager who can bridge the gap between technology, product, and customer success. The ideal candidate should understand APIs, integrations, workflows, and product configurations while also being comfortable interacting with customers, conducting workshops, managing go-lives, and driving adoption.

This role is critical in ensuring smooth onboarding and successful deployment of the platform for Banks, NBFCs, and other enterprise clients.

Key Responsibilities

Customer Implementation & Onboarding

• Lead end-to-end implementation and onboarding for enterprise customers.
• Understand customer workflows, business requirements, and operational challenges.
• Conduct requirement gathering sessions, workshops, and solution walkthroughs.
• Configure product workflows, questionnaires, user journeys, and implementation setups.
• Coordinate pilot launches, UAT, production rollout, and post go-live support.

Technical Coordination

• Work closely with Product, Engineering, and AI teams for integrations and deployment.
• Understand APIs, JSON payloads, webhooks, LOS integrations, and workflow configurations.
• Assist clients with technical discussions around APIs, data flow, and integrations.
• Troubleshoot implementation issues and coordinate resolution across internal teams.
• Track dependencies, timelines, and delivery milestones.

Customer Communication

• Act as the primary implementation SPOC for customers.
• Conduct training sessions for business and operations teams.
• Translate technical concepts into simple business language.
• Provide regular project updates, MOMs, trackers, and escalation management.
• Build strong relationships with client stakeholders across business, operations, and technology teams.

Required Skills & Qualifications

Technical Understanding

• Basic understanding of APIs, integrations, JSON, workflows, and SaaS products.
• Ability to understand and explain technical concepts to non-technical users.
• Familiarity with implementation/project management tools and documentation.

Preferred Background

• 2–6 years of experience in:
• SaaS implementation
• Solution engineering
• Technical account management
• Product implementation
• Experience working with BFSI, FinTech, NBFCs, or enterprise SaaS is preferred.

Ideal Candidate Profile

• Tech-savvy but business-oriented.
• Can coordinate between customers and engineering teams effectively.
• Strong ownership mindset.
• Structured and process-driven.
• Comfortable traveling for client meetings/go-lives if required.
• Able to manage ambiguity in fast-growing startup environments.

AuxoAI is seeking a Senior Applied Scientist to design and deploy structured knowledge systems that enable reliable, schema-grounded AI and agent reasoning.

This role sits at the intersection of large language models, knowledge graphs, semantic architectures, and hybrid retrieval systems. The ideal candidate will build systems that transform unstructured data into structured knowledge representations, enforce semantic constraints, and enable hybrid symbolic–neural reasoning in production environments.

You will play a key role in designing scalable semantic infrastructures that support advanced AI use cases such as GraphRAG pipelines, structured extraction, and agent reasoning workflows.

You will work on problems where existing architectures may not be sufficient and will experiment with new approaches that combine machine learning, knowledge graphs, semantic constraints, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design schema-guided information extraction systems using zero-shot and few-shot structured prompting, constrained decoding approaches such as JSON schema enforcement or grammar-based decoding, and function-calling or tool-driven extraction techniques.
• Develop recursive or multi-stage extraction pipelines capable of handling nested entities, hierarchical structures, and cross-document relationships.
• Build ontology-driven systems using frameworks such as LinkML, OWL, SHACL, or similar schema modeling tools, and implement knowledge representations using RDF triples or labeled property graphs.
• Design and optimize entity resolution algorithms using techniques such as blocking strategies, embedding similarity, and rule-based matching.
• Develop ontology alignment techniques and graph embedding models such as Node2Vec or TransE-style approaches where appropriate.
• Design hybrid retrieval architectures combining dense vector retrieval, sparse retrieval techniques, and graph traversal algorithms such as BFS, DFS, path ranking, and neighborhood expansion.
• Build validation systems that enforce schema conformance, detect semantic inconsistencies, and reduce hallucinated or invalid structured outputs.
• Integrate structured knowledge systems into GraphRAG pipelines, agent planning frameworks, and tool-selection workflows.
• Deliver production-grade semantic systems with clear targets for latency, scalability, reliability, and data integrity.

Requirements

• 5+ years of experience building production AI or machine learning systems.
• Strong experience designing and implementing knowledge graphs or ontology-driven architectures.
• Hands-on experience implementing structured extraction techniques, including grammar-constrained decoding, JSON schema enforcement, or AST-style parsing approaches.
• Experience building entity resolution systems beyond simple embedding similarity methods.
• Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.
• Familiarity with RDF, OWL, or property graph data models and semantic data architectures.
• Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.
• Experience designing hybrid symbolic and neural AI systems.

Nice to Have:

• Experience implementing graph algorithms such as PageRank, community detection, or shortest-path algorithms for reasoning chains.
• Experience building graph-enhanced retrieval systems such as GraphRAG.
• Experience designing compositional semantic extraction pipelines.
• Experience implementing reasoning engines or rule-based inference systems.
• Experience benchmarking and evaluating structural extraction accuracy and consistency.

Roles and Responsibilities:

Business Development is a critical aspect of our platform business.

1. Actively seeking out new sales opportunities through cold calling, networking, and social media.

2. Calling 65-70 leads every day

3. Setting up meetings with potential clients (parents)

4. Generating Trial Classes - Pitch Parents to take PlanetSpark Trial Classes

5. Negotiate/close deals and handle complaints or objections

6. Follow and achieve the department’s sales goals on a monthly, quarterly, and yearly basis (3L revenue per month)

7. “Go the extra mile” to drive sales

Skill Required - Excellent Communication Experience Required - 00-1 year (fresher also welcome) from 2018-2023

Minimum Education:- BBA,BMS,BBM,MBA(Marketing) and B.COM,B.TECH with relevant sales experience.

• Solution design documentation, development ownership, mentoring and driving the most comprehensive trade terminal for our super users for the iOS Mobile platform
• Ensuring the team adhere to the best industry technical practices and meet the business objective
• Ensuring responsiveness of the application
• Monitor reliability and performance metrics of the system to provide an impeccable experience to the user
• Co-ordinate with developers, testers and keeps the product manager well informed of the status of the development effort to senior managers
• Mentoring of the team
• Code review of team members and code quality ownership
• Collaborate with team, cross-functional teams to define and design new features
• Work with data sources, APIs, 3rd party SDKs
• Unit-test code for robustness, including edge cases, usability and general reliability
• Work on bug identification and fixing
• Troubleshooting and triage of field issues
• Improving application performance
• App management and monitoring on iTunes
• Produce high-quality code and experience with security implementation
• identifying risks implementing security patches procedures
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency
• Keep abreast of new trends and best practices in mobile development

• B.E., B.Tech., M.C.A. or equivalent technical qualification in Computer Science,
• Engineering or a related subject
• 7 to 10 years of proven software development experience in iOS development
• Experience in mentoring iOS developers
• Must experience with Swift
• Experience with Objective-C is a plus
• Experience working with remote data via REST and JSON must
• Experience with API integration, Third-party SDKs, Charts, Payment Gateway, Sockets is a plus
• Experience in HLD, LLD designing must
• Solid understanding of the full mobile development life cycle.
• Mobile Application security standards is a plus
• Experience in mobile app architecture, frameworks, design patterns must
• Experience in writing Unit Test cases is a plus
• Experience in performance measurement of application is plus
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Experience in using JIRA, TFS
• Experience of CI/CD pipeline with tools used for Code coverage, code bugs identification, test automation, GIT
• Experience in Firebase Crashlytics, Application Performance must
• Experience in driving scrum team and follow agile practices
• Fundamental knowledge of the BFSI sector is a plus
• Strong communication skills
• Project Estimation & Planning

At nFerence Labs, the "Google of Biomedicine", we are building the world's first massive-scale platform for pharmaco-biomedical computing. Our platform is premised on using AI/Deep Learning (on clinical text, medical images, and other signals) and massive high-performance computing to help pharma companies perform faster and more efficient drug discovery, and also help early diagnosis of several key diseases.

We collaborate heavily with premier medical institutions such as the Mayo Clinic and build systems to get deep medical insights from patient information including patient notes and lab information, medical images, ECGs, etc. We are a well-funded company and are looking to grow on all fronts.

We are hiring an experienced backend staff engineer for our Pramana team. Our Digital Pathology-as-a-service venture, Pramana is an in-line quality assurance software suite which for the first time in the industry, provides confidence to the labs for the accuracy and applicability of their digital assets while supporting industry-standard image formats.

Pramana’s whole slide imaging system is built upon the strong hardware expertise of former Spectral Insights (that nference acquired in 2020) and the strong software expertise of nference. Modular systems with Robotic automation have allowed Pramana to reduce the reliance on several technical staff. This will significantly reduce the total costs of ownership and is a more transparent model for Pramana’s clients.

Must have

• 5+ years experience with solid backend/engineering experience in C++/ Python
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, and a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang/ Python, design, and concurrency patterns.

Good to have

• Proficient in writing unit tests and profiling and benchmarking golang applications
• Experience in maintaining protobuf contract
• Experience in working with GRPC and grace

Benefits:

• Be a part of the “Google of biomedicine” as recognized by the Washington Post
• Work with some of the brilliant minds of the world solving exciting real-world problems through Artificial Intelligence, Machine Learning, analytics and insights through triangulating unstructured and structured information from the biomedical literature as well as from large-scale molecular and real-world datasets.
• Our benefits package includes the best of what leading organizations provide, such as stock options, paid time off, healthcare insurance, gym/broadband reimbursement.

Roles and Responsibilities

• Managing Availability, Performance, Capacity of infrastructure and applications.
• Building and implementing observability for applications health/performance/capacity.
• Optimizing On-call rotations and processes.
• Documenting “tribal” knowledge.
• Managing Infra-platforms like Mesos/Kubernetes,CICD,Observability (Prometheus/New Relic/ELK),Cloud Platforms (AWS/ Azure),Databases,Data Platforms Infrastructure
• Providing help in onboarding new services with production readiness review process.
• Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
• Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
• Working with Dev team to have in depth understanding of the application architecture

          and its bottlenecks.

• Identifying observability gaps in product services, infrastructure and working with stake

          owners to fix it.

• Managing Outages and doing detailed RCA with developers and identifying ways to

          avoid that situation.

• Managing/Automating upgrades of the infrastructure services.
• Automate toil work.
•  

Experience & Skills

• 6+ years of total experience
• Experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.

• A collaborative spirit with the ability to work across disciplines to influence, learn, and

         deliver.

• A deep understanding of computer science, software development, and networking principles.
• Demonstrated experience with languages, such as Python, Java, Golang etc.
• Extensive experience with Linux administration and good understanding the various

linux kernel subsystems (memory, storage, network etc).

• Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
• Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and
• Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
• Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure

solutions like Microsoft Azure or Google Cloud.

• Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker,

Argo etc.

• Experience in managing and deploying containerized environments using Docker,

Mesos/Kubernetes is a plus.

The District Sales Manager will oversee sales activities within a defined territory and manage sales representatives and distributors.

• Trains sales representatives and distributors in assigned territory.
• Organizes sales schedules of assigned staff.
• To act like a bridge between the company and distributor with providing stock reports and product inventories.
• Conducts performance evaluations that are timely and constructive.
• Handles disciplinary action against employees as needed and in accordance with company policy.
• Mostly to coordinate with Sales executives from his assigned district.
• Sales the company’s products in an assigned territory.
• Monitors existing accounts and regularly communicates with primary contacts for the account.
• Works to establish new accounts in the territory.
• Works toward increasing sales growth in the territory at an established rate determined by Company.
• To provide map coordinates and beat plans.
• Performs other related duties as assigned.

• Ability to build and maintain business relationships with clients.
• Excellent verbal and written communication skills.
• Excellent management and leadership skills.
• Excellent time management skills.
• Ability to multitask and complete work while traveling.
• Thorough knowledge of territory, market, and clients.
• Excellent problem-solving skills.
• Proficient in Microsoft Office Suite or related software.
• Organized with attention to detail.

• Bachelor’s degree in any domain.
• 3-4 years of core field sales/ marketing experience required.

We are looking for a motivated React js developer to come join our team.

Roles & Responsibilities:

• React.js developers (about 3-5 years of experience) are involved in the interface
• component design from implementation to testing.
• Implement user interface components for JavaScript-based web and mobile applications using the React open-source library ecosystem.
• Should have proficiency in front end languages HTML, CSS, JavaScript, and JavaScript
• frameworks like REACT, Angular JS.
• Have knowledge in REACT tools such as react.js, Webpack, Enzyme, Redux, and Flux. Previous experience in user application.
• interface design is essential.
• Must have hands-on experience in payment gateway,3rd party API integration, Security encryption & decryption experience.

Skills:

• A good attitude toward work, Strong problem-solving skills
• Desire to work in a fast-paced environment along with project and time management skills
• Ability to work independently or with a group