Sales Associate

Agent Application Engineer (Backend / Agentic AI) — Level 1

About Sentiaflow

Sentiaflow is an AI engineering and IT services company that designs and delivers production-grade agentic AI systems. We work at the point where large language models meet real business operations: data, APIs, permissions, workflow state, human decisions, security, evaluation, and measurable outcomes.

Our initial domain focus is healthcare, particularly clinical trials and related operational workflows. These are environments where an impressive demo is not enough. A system must be dependable, traceable, appropriately controlled, and clear about when a human must make the decision.

We are building a specialised engineering organisation across three disciplines:

• Agent Application Engineering
• Agent Platform & Evaluation Engineering
• Applied AI & Model Engineering

The Role

We are hiring strong backend or application engineers who want to specialise in building agentic AI applications. You do not need to arrive with several years of "agent engineer" experience. We are more interested in whether you have built real software, understand how production systems fail, and can learn to use models inside controlled business workflows.

As a Level 1 Agent Application Engineer, you will implement bounded parts of a production workflow under the guidance of an Agent Captain or senior engineer. Your work will connect models to application services, tools, data sources, and human approval points. You will be expected to make every important step observable, testable, and recoverable.

This is not a prompt-writing position, and it is not a generic chatbot role. It is an application engineering role for systems in which some decisions are probabilistic, while the surrounding controls must remain deterministic.

What You Will Work On

The specific client problem will vary, but typical work may include:

• Converting a clinical-operations signal into a bounded workflow that gathers evidence, analyses likely causes, presents options, and routes a recommendation to an authorised person.
• Building services that extract or structure information from trial documents and pass the result through validation and human review.
• Integrating agent workflows with internal APIs, databases, document systems, notification services, and client platforms.
• Implementing workflow state, recovery behaviour, approval gates, permissions, traceability, and scenario-based evaluations.

The work concerns operational decision support and workflow execution. It does not delegate clinical judgment or patient-care decisions to an autonomous model.

What You Will Be Responsible For

• Translate a clearly scoped business workflow into typed inputs, outputs, states, actions, and escalation paths.
• Build reliable application services and tool integrations using Node.js/TypeScript or Python.
• Use an LLM only where model judgment adds value; implement rules, validation, authorisation, and workflow control in deterministic code.
• Design structured model outputs and validate them before they can affect downstream systems.
• Handle partial data, unavailable tools, duplicate events, retries, time-outs, rate limits, and other normal production failure modes.
• Add logging, traces, metrics, and decision records that make the workflow diagnosable.
• Create tests and evaluation cases that measure whether the complete workflow behaves correctly—not merely whether an answer sounds fluent.
• Protect sensitive information and participate in code, design, failure-analysis, and release-readiness reviews.
• Explain your implementation and its trade-offs clearly to engineers, delivery leads, and client stakeholders.

At Level 1, you will not be expected to define the entire client architecture alone. You will be expected to own your assigned module, ask precise questions, surface risks early, and bring it to a production-ready standard with senior review.

What We Are Looking For

Essential Experience

• Approximately 3–6 years of hands-on backend or application engineering experience.
• Evidence that you have built or materially owned production APIs, services, data flows, integrations, or workflow-heavy applications.
• Strong programming ability in JavaScript/TypeScript, Python, Java, C#, Go, or a comparable backend language. Our preference is Node.js/TypeScript, but engineering depth matters more than language loyalty.
• Practical understanding of API design, databases, asynchronous processing, authentication and authorisation, testing, and deployment.
• Ability to reason clearly about state, retries, idempotency, concurrency, permissions, audit trails, and failure recovery.
• Experience debugging real production behaviour rather than only building greenfield demonstrations.
• Clear written and verbal communication, including the ability to explain technical trade-offs without hiding behind framework terminology.

Useful, but Not Mandatory

• Experience integrating LLM or machine-learning capabilities into an application.
• Experience with event-driven systems, state machines, workflow engines, observability, evaluation harnesses, or production incident analysis.
• Experience in healthcare, life sciences, clinical trials, or another regulated or audit-sensitive environment.

Healthcare or clinical-trials experience is preferred, not required at Level 1. We would rather hire a strong production engineer who can learn the domain than a candidate who knows the vocabulary but cannot build dependable systems.

What Does Not Qualify by Itself

Any of the following may be useful experience, but none is sufficient on its own:

• A chatbot or "chat with your documents" application.
• A RAG demonstration built primarily by connecting frameworks.
• A list of AI tools, model names, courses, certificates, or prompt-engineering techniques.
• An application that works in a demo but has no clear handling of permissions, failures, evaluation, or production operations.

How We Will Assess Fit

Our evaluation is designed to identify engineering judgment without asking you to build unpaid project work. We will focus on:

• A structured discussion of a production system you have worked on.
• Questions grounded in your own CV and claimed experience.
• A realistic workflow scenario covering system boundaries, evidence, controls, failure modes, and testing.
• Backend fundamentals and how you would apply them to an AI-enabled workflow.

You are NOT expected to have built a clinical-trials agent before applying.

What Success Looks Like

Within your first six months, you should be able to:

• Implement a bounded agent-workflow module from an agreed design and take responsibility for its quality.
• Integrate models and tools without allowing probabilistic output to bypass deterministic controls.
• Produce traces, tests, and evaluation evidence that support a release decision.
• Diagnose failures across application, tool, data, and model boundaries with progressively less supervision.
• Explain the workflow to a client or domain stakeholder in clear operational language.

Consistent performance at this level creates a path towards Level 2 — Independent Delivery Engineer, where you own a production workflow end to end, including discovery, architecture, integrations, evaluation, failure handling, and release readiness.

Why You Should Join Us

• Build the real systems behind agentic AI. You will work beyond demos and wrappers on the engineering problems that determine whether an AI workflow can operate in production.
• Develop a scarce, durable specialisation. Sentiaflow offers a defined progression across application engineering, platform and evaluation, and applied AI—not a vague instruction to "learn AI."
• Work on consequential operational problems. Clinical-trials workflows demand evidence, traceability, human accountability, and reliable execution.
• Learn through delivery with experienced review. You will own meaningful engineering work while receiving architectural and domain guidance appropriate to your level.
• Influence how the discipline is built. We are at an early stage, so strong engineers will help shape our methods, reusable assets, quality standards, and engineering culture.

Requirements:

• Like us, you'll be deeply committed to delivering impactful outcomes for customers.
• Strong hands-on experience with 5+ experience in building and shipping native iOS applications using Swift.
• Deep understanding of iOS architecture patterns such as MVC, MVVM, or Clean Architecture.
• Strong knowledge of UI frameworks like UIKit (SwiftUI know-how is a good to have).
• Experience with asynchronous programming using async/await, GCD, and Combine.
• Good understanding of app performance optimisation, memory management, networking, and offline handling.
• Experience integrating REST APIs and backend services.
• Familiarity with mobile security best practices, authentication flows, and secure data storage.
• Experience with Git-based workflows, CI/CD pipelines, and release automation tools.
• Ability to write clean, maintainable, testable, and scalable code.
• Strong debugging, problem-solving, and collaboration skills in agile product teams.
• Experience with modular architecture, analytics/crash reporting tools, and test automation.
• Familiarity with AI-assisted developer tools and productivity workflows.
• Exposure to fintech or high-scale consumer applications is a plus.

About Wissen Technology

Wissen Technology, established in 2015 and part of the Wissen Group (founded in 2000), is a specialized technology consulting company. We pride ourselves on delivering high-quality solutions for global organizations across Banking & Finance, Telecom, and Healthcare domains.

Here’s why Wissen Technology stands out:

Global Presence: Offices in US, India, UK, Australia, Mexico, and Canada.

Expert Team: Wissen Group comprises over 4000 highly skilled professionals worldwide, with Wissen Technology contributing 1400 of these experts. Our team includes graduates from prestigious institutions such as Wharton, MIT, IITs, IIMs, and NITs.

Recognitions: Great Place to Work® Certified.

Featured as a Top 20 AI/ML Vendor by CIO Insider (2020).

Impressive Growth: Achieved 400% revenue growth in 5 years without external funding.

Successful Projects: Delivered $650 million worth of projects to 20+ Fortune 500 companies.

For more details:

Website: www.wissen.com 

Wissen Thought leadership : https://www.wissen.com/articles/ 

LinkedIn: Wissen Technology

We are seeking a highly skilled Azure Cloud professional to manage, design, and engineer scalable and secure cloud infrastructure on Microsoft Azure. The ideal candidate will have a strong background in cloud infrastructure, system administration and architecture design.

Responsibilities: 

• Manage and maintain Azure resources including Virtual Machines, Virtual Networks, Storage Accounts, Azure AD, and Resource Groups.
• Monitor and optimize resource usage and performance.
• Implement and manage backup, disaster recovery, and high availability.
• Ensure security and compliance using Azure Security Center, Defender, and Azure Policies.
• Design scalable, resilient, and cost-effective cloud architectures aligned with business goals.
• Define and document Azure architecture standards, governance models, and best practices.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Plan and lead cloud migration strategies from on-premises or other cloud providers to Azure.
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Required Skills & Qualifications:

• 5–10 years of experience with Microsoft Azure platform in admin, architect, or engineer roles.
• Strong understanding of networking, identity, security, and governance in Azure.
• Hands-on experience with Azure IaaS, PaaS, and hybrid cloud environments.
• Proficiency with PowerShell, Azure CLI, and scripting for automation.
• Experience in monitoring and performance tuning using Azure Monitor, Log Analytics.
• Familiarity with Azure Cost Management and optimization strategies.

Preferred Qualifications:

• Microsoft certifications such as:
• AZ-104: Microsoft Azure Administrator
• AZ-305: Azure Solutions Architect Expert
• AZ-400: Azure DevOps Engineer Expert
• Knowledge of compliance standards (ISO, HIPAA, etc.)
• Experience with hybrid infrastructure (on-prem + Azure)
• Familiarity with other cloud platforms (AWS, GCP) is a plus.

Criteria

Mandatory

Strong Dremio / Lakehouse Data Architect profile

Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio

Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems

Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts

Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)

Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics

Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices

Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline

Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Strong WordPress fullstack developer (frontend focused) Profile
• Mandatory (Experience 1): Must have 4+ YOE as a WordPress fullstack developement (80% Frontend, 20% backend)
• Mandatory (Experience 2): Must have 3+ YOE as a WordPress frontend developement using HTML, CSS, Javascript
• Mandatory (Experience 3): Must have 6 month+ experience in WordPress backend developement using php
• Mandatory (Skills 1): Strong knowledge of version control (Git) and collaborative code workflows
• Mandatory (Skills 2): Must have good communication skill

Preferred

• Preferred (Skills 1): Good knowledge of front-end frameworks/libraries (React, Angular, or Vue.js)

Job Title: Finance and Accounts manager (Accounts Receivable) - CA Qualified

Experience: 5-8 years in Accounts Receivable and Financial Reporting

Location: Gurgaon

Salary: Negotiable

Industry: Retail/ Apparel/ Fashion

Qualification: CA Qualified

This role involves revenue accounting and receivables processes for the business, ensuring accurate revenue accounting and in line with accounting standards and internal policies.

Key Deliverables (Essential Functions & Responsibilities)

Accounts Receivable Management

·         Oversee revenue accounting and reconciliation for E-commerce, Partner, and Store sales.

·         Ensure robust internal financial controls on accounts receivables, with a focus on improving collection efficiency.

·         Manage end-to-end accounts receivable operations PAN India, including team supervision and handling escalations.

·         Negotiate with banks for favorable merchant transaction rates and secure cash pickup services.

·         Ensure Partner/Marketplace reconciliations are current and escalate discrepancies in a timely manner.

Financial Reporting & Controls

·         Review and strengthen internal control systems to monitor cash and card collections, minimizing variances and discrepancies.

·         Conduct regular evaluations of PAN India financial transactions to ensure alignment with internal policies and procedures.

Audit & Governance

·         Ensure timely and accurate completion of internal and statutory audits related to revenue accounting and accounts receivable.

·         Maintain the security and confidentiality of financial documentation and records.

Ad Hoc Responsibilities

·         Manage e-voucher and gift card processes, as required.

·         Ensure adherence to revenue accounting standards for any new sales channels introduced, including proper execution of UAT for system changes.

·         Collaborate with the tax team to implement tax notifications and ensure compliance with statutory requirements.

Key Requirements

·         Strong domain expertise in Accounts Receivable and Financial Reporting.

·         Proficiency in SAP, MS Office, and reconciliation tools.

·         Excellent analytical, problem-solving, and team leadership skills.

mail updated resume with current salary-

email: etalenthire[at]gmail[dot]com

satish: 88 O2 74 9743

About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

·      Build and maintain the trading engine core for execution, backtesting, and event logging.

·      Develop isolated strategy execution runners to support multi-user, multi-strategy environments.

·      Implement abstraction layers for brokers and market data feeds to offer a unified API experience.

·      Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.

·      Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.

·      Design compute-optimized components for multi-asset workflows and scalable backtesting.

·      Capture real-time state, performance metrics, and slippage for both live and simulated runs.

·      Collaborate with infrastructure engineers to support high-availability deployments.

Top Technical Competencies

·      Proficiency in distributed systems, concurrency, and system design.

·      Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.

·      Deep understanding of data structures and algorithms with a focus on low-latency performance.

·      Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).

·      Familiarity with Linux-based environments and system-level performance tuning.

Bonus Competencies

·      Understanding of financial markets, asset classes, and algorithmic trading strategies.

·      3–5 years of prior Backend experience.

·      Hands-on experience with backtesting frameworks or financial market simulators.

·      Experience with sandboxed execution environments or paper trading platforms.

·      Advanced knowledge of multithreading, memory optimization, or compiler construction.

·      Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

What We Offer

·      Opportunity to shape the backend architecture of a next-gen fintech startup.

·      A collaborative, technically driven culture.

·      Competitive compensation with performance-based bonuses.

·      Flexible working hours and a remote-friendly environment for candidates across the globe.

·      Exposure to financial modeling, trading infrastructure, and real-time applications.

·      Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

Ideal Candidate

You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.

Role Overview:

As an ABBY Support Engineer, you will play a crucial role in designing, implementing, and supporting automation solutions, with a strong focus on ABBYY FlexiCapture and related OCR/Data Capture technologies. You will collaborate with cross-functional teams to drive automation efficiencies and ensure seamless integration with enterprise applications.

________________________________________

Key Responsibilities:

• Provide technical support for ABBYY FlexiCapture, troubleshooting and resolving issues related to OCR, data extraction, and integration.

• Work closely with business analysts and stakeholders to understand requirements and configure ABBYY solutions accordingly.

• Participate in design sessions to determine technical feasibility, scalability, and performance considerations.

• Develop, customize, and optimize ABBYY FlexiCapture templates, scripts, and workflows to enhance automation effectiveness.

• Ensure seamless integration of ABBYY with various enterprise applications through APIs and connectors.

• Collaborate with RPA developers using Blue Prism, UiPath, and Power Automate for end-to-end automation solutions.

• Maintain technical documentation, including solution designs, troubleshooting guides, and best practices.

• Conduct UAT sessions, deploy solutions, and support post-implementation hypercare.

________________________________________

Required Skills & Qualifications:

• 2-4 years of experience in software development and automation support.

• 1+ year of hands-on experience with ABBYY FlexiCapture (OCR, Data Capture, Template Creation, and Scripting).

• Strong knowledge of SQL and experience in database query optimization.

• Familiarity with .NET, Java, or Python for scripting and automation.

• Understanding of CRUD operations and relational database management.

• Knowledge of API integration and working with REST/SOAP services.

• Exposure to RPA tools (UiPath, Blue Prism) is a plus.

• Strong analytical and problem-solving skills with an eagerness to learn new technologies.

• Excellent communication skills and ability to collaborate with cross-functional teams.

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

About the Role

 You will be responsible for identifying new leads, negotiations, and managing the sales activities in a very fast-paced and rapidly changing environment. In this opportunity, you will be working closely with the Wesley Clover International team and TaraSpan India team to help better optimize our pipeline generation methodologies, improve the prospect experience, and uncover strategies to create scalable ways to drive sales success.

Enterprise Sales Manager Responsibilities:

• Develop a go-to-market India strategy for the large technology product portfolio of Wesley Clover International
• Conduct market research to find trendsetter ideas and identify new markets and customer needs
• Promote the company’s products/services addressing or predicting clients’ objectives
• Locate new leads and arrange business development meetings with prospective clients
• Screen potential business deals by analyzing market strategies, deal requirements, potential, and financials; evaluating options; resolving internal priorities.
• Develop negotiating strategies and positions by studying integration of new venture with company strategies and operations; examining risks and potentials; estimating partners' needs and goals.
• Close business deals by coordinating requirements, developing and negotiating contracts, and integrating contract requirements with business operations.
• Build and maintain long-term relationships with existing and new customers
• Develop quotes, proposals, and sales contracts ensuring adherence to law-established rules and guidelines

 Requirements:

• 10-12 years of proven working experience as a business development manager, sales executive or a relevant role is required
• Proven sales track record with references
• Strong market knowledge of enterprise SaaS and technology
• Strong Interpersonal skills (outgoing and personable)

• Excellent communication and negotiation skills (verbal, written & presentation)
• Excellent organization, prioritization and time management skills.

• MBA, BSc/BA in business administration, sales or relevant fields