11+ HDL Jobs in Pune | HDL Job openings in Pune

Oracle Cloud HCM Technical 

Experience- 6 – 12 years 

Location- Hyderabad, Chennai, Bangalore, Pune, Kolkata, Noida, Gurgaon, Mumbai 

1.Practitioner/expert level knowledge in at least 2 of the following tools: HDL, HCM Extracts, 

BIP Reports, OTBI Reports, REST Web services, Fast Formula 

2.In depth knowledge in at least two of HCM Cloud Modules: 

∙Core HR   

∙Absences   

∙Benefits   

∙Payroll   

∙Workforce Compensation 

∙OTL 

∙Taleo 

∙OLC 

∙Oracle recruit. 

1.Cloud -certification will be an advantage 

2.Very good communication skills and excellent problem-solving skills. 

3.Direct client interaction experience will be an advantage

Job Title : Golang Developer

Experience : 3+ Years

Location : Pune, Maharashtra (On-site)

Employment Type : Full-Time

Role Overview :

We are looking for a passionate and skilled Golang Developer with strong computer science fundamentals and hands-on development experience. The ideal candidate should be a logical thinker, self-motivated problem solver, and eager learner who enjoys building scalable and high-performance applications.

Mandatory Skills : Strong hands-on experience in Golang, RESTful API development, PostgreSQL/MySQL, Git version control, and solid problem-solving with computer science fundamentals.

Key Responsibilities :

• Develop, maintain, and enhance backend applications using Golang.
• Write clean, scalable, and efficient code following best coding practices.
• Design and implement RESTful web services.
• Collaborate with cross-functional teams including Product, UX, and QA to deliver quality software on time.
• Take end-to-end ownership and accountability of assigned tasks.
• Contribute to performance optimization and application scalability.

Required Skills :

• Strong hands-on experience in Golang and related frameworks.
• Good understanding of RESTful API development.
• Experience working with RDBMS such as PostgreSQL/MySQL.
• Strong problem-solving skills and solid computer science fundamentals.
• Experience with Git version control.
• Excellent communication skills.

Good to Have :

• Basic knowledge of HTML, CSS, and any JavaScript framework.
• Exposure to Non-relational databases.
• Participation or credentials on platforms like HackerRank/HackerEarth.
• Understanding of end-to-end web application development.

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.

Position: Machine Learning Engineer 

Job Type: Full Time, Permanent 

Location : Baner, Pune 

We are looking for a visionary Machine Learning Engineer to bridge the gap between cutting-edge research and real-world applications. In this role, you won’t just be training models; you will be architecting the visual intelligence that powers our next generation of products. You will join a high-impact team dedicated to solving complex spatial and visual problems at scale. 

What You’ll Do 

• Architect & Innovate: Own the journey from research to production-ready computer vision pipelines. 
• Optimize Performance: Build high-speed deep learning models for real-time detection and recognition. 
• Lead with Data: Curate massive datasets and apply advanced engineering to maximize model accuracy. 
• Collaborate & Integrate: Partner with cross-functional teams to embed AI insights into core products. 
• Stay Ahead: Proactively prototype SOTA architectures to keep our solutions at the cutting edge. 
• 
  

What We’re Looking For 

• Expert in Python and OpenCV. You are framework-agnostic but a power user of PyTorch or TensorFlow. 
• 2–5 years of shipping ML products. You know how to move beyond research notebooks into scalable production code. 
• A problem solver obsessed with robust, explainable AI and clean, rigorous validation. 
• Strong mastery of the math behind CV—specifically geometry, linear algebra, and optimization. 

KUMAR ENTERPRISES

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SHIFT TIMING- 9:30AM TO 6:30 PM

INTERVIEW LOCATION -Remote

SALES EXPERIENCE IS MUST

Job Description : 

• Strong knowledge of PHP web frameworks -Laravel, CodeIgnitor
• Must have 2 years of experience in PHP Laravel or Codelgnitor
• Understanding the fully synchronous behavior of PHP
• Understanding of MVC design patterns
• Thorough understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Experienced in creating microcopy that will drive visitors towards taking the right actions across our website
• Experienced in writing technical documents like product sheets, product manuals, technical guides, tutorials, etc
• Experienced in proofreading and editing content copies
• Experienced in creating content as per our Ideal Customer Profile
• Work with the marketing team for generating fresh content ideas
• Should have basic knowledge of search engine optimization
• Experienced in creating concise, eye-catching, and innovative headlines and a body of technical documents.