Finance Executive

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.

Project Coordinator – Intern / Fresher

*Company:* Appscrip

Location: Bangalore 

Experience: Internship / Fresher

Appscrip is hiring a *Project Coordinator (Intern/Fresher)* to support software project execution and cross-functional coordination. This role is ideal for fresh graduates eager to gain hands-on experience in Agile software projects.

*Responsibilities:*

* Assist Project Managers with planning and tracking software projects

* Coordinate with developers, designers, and QA teams

* Track tasks, timelines, and deliverables using PM tools

* Maintain project documentation and reports

* Support Agile ceremonies and project meetings

*Requirements:*

* Fresher or recent graduate (CS/IT/Engineering/Business preferred)

* Basic understanding of SDLC and Agile concepts

* Good communication and organizational skills

* Willingness to learn in a fast-paced environment

You can WhatsApp your resume or call us on nine three one six one two zero one three two

About the Role:

We are looking for an experienced and imaginative Generative AI Architect & Engineer to lead, design, and build cutting-edge solutions using Large Language Models (LLMs) such as OpenAI’s GPT-4/5, Google Gemini, Meta’s LLaMA, and Anthropic Claude. You will spearhead the development of a corporate-wide GenAI platform that harnesses proprietary enterprise knowledge and empowers sales, operations, and other departments with instant, contextual insights, guidance, and automation.

As the GenAI leader, you will be responsible for building scalable pipelines, integrating enterprise content repositories, fine-tuning or adapting foundational models, and creating secure and intuitive access patterns for business teams. You are passionate about creating highly usable solutions that solve real-world problems, and are fluent across architecture, implementation, and MLOps best practices.

Key Responsibilities:

• Architect and implement an end-to-end GenAI solution leveraging LLMs to serve as a contextual assistant across multiple business units.
• Develop pipelines to ingest, clean, and index enterprise knowledge (documents, wikis, CRM, chat transcripts, etc.) using RAG (Retrieval-Augmented Generation) patterns and vector databases.
• Lead fine-tuning, prompt engineering, and evaluation of LLMs, adapting open-source or commercial models to enterprise needs.
• Design a secure, scalable, API-first microservice platform, including middleware and access control, integrated into corporate systems.
• Work closely with sales, operations, and customer support teams to gather use cases and translate them into impactful GenAI features.
• Drive experimentation and benchmarking to evaluate various open and closed LLMs (OpenAI, Claude, Gemini, LLaMA, Mistral, etc.) for best performance and cost-efficiency.
• Collaborate with DevOps teams to enable MLOps workflows, CI/CD pipelines, versioning, and A/B testing for AI models.
• Contribute to technical documentation, best practices, and internal knowledge sharing.

Key Qualifications:

• 4–5+ years of hands-on experience in AI/ML product development or applied research.
• Demonstrated experience working with LLMs (OpenAI, LLaMA, Claude, Gemini, Mistral, etc.) and RAG pipelines, including vector search (FAISS, Weaviate, Pinecone, Chroma, etc.).
• Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, Transformers, Ray, HuggingFace, or equivalent.
• Deep understanding of NLP, model fine-tuning, embeddings, tokenization, and content ingestion pipelines.
• Exposure to enterprise content systems (e.g., SharePoint, Confluence, Salesforce, internal wikis, etc.) and integrating with them securely.
• Solid foundation in software architecture, microservices, API design, and cloud deployments (Azure, AWS, or GCP).
• Experience with security, RBAC, and compliance practices in enterprise-grade solutions.
• Ability to lead projects independently and mentor junior engineers or data scientists.

How to Apply:

Submit your resume and a short technical project summary or portfolio (GitHub, Hugging Face, blog posts)

• Strong Head of Growth / Retention / Acquisition profile focused on B2C Apps
• Mandatory (Experience 1) – Must have minimum 12+ YOE in app acquisition, growth and retention of digital products
• Mandatory (Experience 2) – Proven track record of driving acquisition, engagement, retention, churn reduction, and conversion for large-scale consumer apps.
• Mandatory (Experience 3) – Must have team leading experience and cross-functional collaboration across product, tech, and marketing
• Mandatory (Core skills) – Expertise in mobile app analytics, funnel optimization, A/B testing, growth experimentation, customer insight generation, marketing automation tools, and dashboarding for KPI visibility.
• Mandatory (Company) – Top Rankings B2C Apps

Preferred

• Preferred (Experience 1) – Deep understanding of App store optimization (ASO)
• Preferred (Experience 2) – Familiarity with AI-based marketing tools

Strong portfolio showcasing graphic design and animation skills

• Proficient in design software (Premiere Pro, After Effects, Adobe Illustrator, Photoshop etc.)

• Ability to work efficiently and meet deadlines

• Excellent communication and collaboration skills • Understanding of the lead generation process and how to create effective visuals

• Preferably, Previous experience of working with a Lead Generation house or agency

• Preferably, some exposure to content writing

The Opportunity: Start Orchestrating

Software engineering is at a historic inflection point. We are moving beyond AI as a simple code completion tool into a new era of agentic development. AI systems like Google's Gemini CLI are no longer just assistants; they are semi-autonomous partners capable of tackling complex engineering tasks, from fixing bugs to implementing entire features from a high-level prompt.

We are building an elite team to operate at this new frontier. We seek a deeply technical, hands-on pioneer—an "AI Orchestrator"—who lives on the command line and is obsessed with achieving a step-change in development velocity. Your mission is not to manage a team that writes code, but to architect and orchestrate a fleet of AI agents to build the future of our software. This is a role for an ultra-high-energy individual contributor who wants to move beyond incremental improvements and define how high-performance software is built for the next decade.

What You'll Do: Your Mission & Core Mandate

As our lead AI Orchestrator, you will be a hands-on-keyboard pioneer, responsible for building the systems and workflows that fuse human ingenuity with agentic AI power.

• Architect Agentic Workflows: You will design, implement, and govern the end-to-end "human-in-the-loop" development lifecycle. This means architecting how we use Gemini CLI at every stage, from turning architectural diagrams into code to establishing multi-agent TDD (Test-Driven Development) patterns.
• AI-Generated Code Reviewer: Provide hands-on architectural stewardship. You will conduct rigorous code reviews of AI-generated code, ensuring it meets our exacting standards for scalability, performance, and security.
• Mentor a New Class of Engineer: You will be the catalyst for transforming future hires from traditional coders into elite AI Orchestrators. You will establish the best practices, training, and "critical collaboration" culture required to master this new paradigm.

Who You Are: A Profile of a Pioneer

This is not a role for a manager who delegates; it is for a deeply technical leader who architects the future from the command line.

Foundational Engineering Excellence:

• Real world experience and/or BS, MS, or Ph.D. in Computer Science or a related quantitative field.
• 7+ years of professional software engineering experience, with 3+ years in a Staff, Principal, or Tech Lead capacity or similar.
• Expert-level proficiency in at least one of: Python, Go, Rust, or TypeScript.
• Deep, hands-on experience with cloud-native architecture (GCP, AWS, Azure), distributed systems, and MLOps e.g. (CI/CD, Docker, Kubernetes, or Terraform).

Essential Hands-On Mastery:

• You live in the terminal. You have daily, expert-level, hands-on experience using agentic CLI tools (Gemini CLI, Claude Code) to perform complex, multi-day engineering tasks.
• You build the connections. You have architected, built, and deployed custom Model Context Protocol (MCP) servers to integrate AI agents with production-grade internal systems.
• You are a master of prompts and workflows. You have designed and implemented novel, multi-agent workflows and can architect "mega-prompts" or custom slash commands that codify sophisticated business logic for an AI to execute.
• You understand AI governance. You have implemented formal, risk-based strategies for when to allow autonomous agent actions versus when to require manual sign-off, balancing velocity with safety.

Your Pioneer Spirit:

We know you don't have "5+ years of experience" with these tools—they're too new. If you figured it out yesterday that's fine.

The ideal candidate is an obsessive early adopter who has been relentlessly experimenting with these technologies. Your qualifications will be measured not in years, but in the depth of your practical knowledge and a portfolio that demonstrates:

• Massive Impact: Evidence of using agentic AI to achieve significant outcomes (e.g., a 10x reduction in dev time, completion of a previously blocked project).
• Disruptive Mentorship: A track record of leading and upskilling an engineering team in the adoption of a new, game-changing technology.

Why Join Us?

This is a career-defining opportunity to be at the epicenter of a paradigm shift.

• Define the Future: Your work will not just be implemented here; it will be studied elsewhere. You will establish the patterns that shape the industry.
• Autonomy & Impact: Reporting directly to senior leadership, you will be given the resources and trust to build a world-class AI-native development platform.
• Unprecedented Challenge: You will solve novel problems at the intersection of AI, software engineering, and HCI for which no playbook exists.
• A Team of Pioneers: Join a small, elite team of engineers who share your passion and drive to push the boundaries of what's possible.

Working Days: 5 (Saturday and all Sunday’s off).

About GoComet (www.gocomet.com)

     GoComet - our Logistics Resource Management (LRM) SaaS platform leverages the combined power of data science and machine intelligence. It facilitates sharp reverse auctions bringing out the best possible end to end rates for shipments, saves time, optimises operations, and increases deal transparency and efficiencies for enterprises’ freight procurement processes.

Owing to our growing impact and potential, the Singapore Government (SGInnovate) is now backing us as an investor. Also, our global customers (including Fortune 500 Conglomerates) like Schaeffler, Glenmark, Sun Pharma, Polyplex, Indorama Ventures - trust, and recommend us.

Besides, we were also recently mentioned in the Gartner Visibility Guide.

Money Honey Financial Services has an open position for a well-qualified Software developer, to be filled immediately. If you have a combination of deep experience with ASP.Net, MVC, C#, JQuery, JavaScript experience with databases and domain-driven application systems, a history of working successfully in small innovative software teams, and a flexible, upbeat approach to working with colleagues.

Responsibilities :

• Work with the .Net team, promoting the creation of elegant, practical solutions to meet the company's business goals.
• Prepare reports, manuals and other documentation on the status, operation and maintenance of software. Work closely with the Team Lead of Technology to assist in the analysis, evaluation and recommendation of new application and technology appropriate to the company.
• Understand how our applications operate, are structured, and how users use them.

Engineering Leader, Cloud Infrastructure.

Bengaluru, Karnataka, India

Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!

Your Impact:

We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,

networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for

you.

You Will:

Lead, inspire, and influence to make sure your team is successful

Partner with the recruiting team to attract and retain high-quality and diverse talent

Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration

Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.

Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.

You'll need:

BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams

Strong fundamentals in distributed systems design and development

Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management

Experience running production services in Public Clouds such as AWS, GCP, and Azure

Experience with running large stateful data systems in the Cloud

Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)

A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them

Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.