Human Resource Intern

Strong Java Backend Engineer.

Mandatory (Experience 1): Must have 5+ years of backend development with strong focus on Java (Spring / Spring Boot)

Mandatory (Experience 2): Must have been a SDE-3 or SDE-2 for at least 2.5 years in a Decacorn(title should be there in resume)

Mandatory (Tech skill 1) : Hands-on experience with RESTful APIs and microservices architecture

Mandatory (Tech skill 2): Strong understanding of distributed systems, multithreading, and async programming

Mandatory (Tech skill 3): Experience with relational and NoSQL databases

Mandatory (Tech skill 4) : Exposure to Kafka/RabbitMQ and Redis/Memcached

Mandatory (Tech skill 5): Experience with AWS / GCP / Azure, Docker, and Kubernetes

Mandatory (Tech skill 6) : Familiar with CI/CD pipelines and modern DevOps practices

Mandatory (Tech skill 7): Must have worked on core product/platform teams rather than support or internal tooling

Mandatory (Ownership & Impact): Candidate should demonstrate end-to-end ownership of backend systems, including architecture/design decisions (HLD/LLD), scalability improvements, or measurable production impact (resume should clearly mention metrics such as scale, throughput, latency improvements, reliability, cost optimization, or user impact)

Mandatory (Company) - Top New Age, Fast-scaled, Tech-First Product Companies (Like Series B+ / Unicorn Indian startups, or Tech-first Global companies like Amazon, Google, Microsoft etc)

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Mandatory (Note): Education can be ignored for candidates with proven experience in strong, reputed product companies

Senior AI Engineer

Code Generation, Agent Architecture & LLM Systems

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior AI Engineer for a dedicated client engagement focused on building an AI-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code.

The mandatory requirement for this role is hands-on production experience shipping LLM-powered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage.

The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy.

You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent Architecture

Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions.

Make and revisit architectural decisions on single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair sub-agents.

Code Generation Pipeline

Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit.

Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies.

Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-Repair Loop

Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation.

This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context Management

Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval.

Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes.

Own token budgeting and prompt caching strategy.

Prompt Engineering as a Discipline

Own the system prompt and per-task prompt variants (new feature, bug fix, styling change).

Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites.

Version prompts like code with changelogs and rollback capability.

Evaluation and Quality Measurement

Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant.

Define regression gates that block quality-degrading changes from shipping.

Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.

This responsibility is non-negotiable at this level.

Model Strategy and Cost

Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation.

Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection.

Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and Reliability of Agent Behaviour

Defend against prompt injection from user content and fetched web content.

Ensure secrets never appear in generated client code.

Define what the agent's tools may and may not do in collaboration with the platform team.

Contribute to output moderation and abuse-pattern awareness.

Mentorship and Engineering Standards

Run code reviews, define engineering conventions for AI work, and raise the engineering bar across the AI team.

Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on Production Ownership of LLM-Powered Systems with Agent Architectures (Mandatory)

Must have personally shipped and operated at least one complex production AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.

POCs, internal demos, and tutorial-grade work do not qualify.

5+ Years of Professional Software or AI Engineering Experience

With at least 3 years focused on LLM applications, AI engineering, or production AI systems.

Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python Proficiency and Service Development

Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging.

Not notebook-only.

Depth Across LLM APIs and Agent Systems

Production experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).

Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, Systematic Evaluation Practice - Non-Negotiable

Must have built evaluation harnesses that gate production releases, not ad-hoc testing.

Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval.

Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost Discipline for Production AI

Track record of measurable cost optimisation on production AI features.

Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS Working Knowledge

Hands-on with EC2, S3, IAM, and Docker.

Comfort with CI/CD workflows and deploying AI services.

Awareness of LLM Security Failure Modes

Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to Have

• Experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work
• MCP server authoring
• Open-source AI contributions
• Published technical writing on LLM systems
• Multi-modal model experience
• Fine-tuning exposure (LoRA, QLoRA, PEFT)

Key Responsibilities:

Manage and retain channel partners; act as primary point of contact

Communicate schemes, margins, and focus models to partners

Drive secondary sales growth and achieve targets

Monitor partner performance and take corrective actions

Manage aging inventory and promote sales of EOL stock

Follow up for timely payments and monitor outstanding balances

Skills:

Partner relationship management & communication

Channel sales and secondary sales knowledge

Inventory and payment tracking

Problem-solving and follow-ups

MS Excel & CRM proficiency

Job Title: Senior KIBO Senior OMS Developer

Location: Bangalore - Onsite

Job Type: Full Time

Experience: 5+ years (Minimum 2+ years in KIBO OMS)

Job Summary:

We are looking for a highly skilled Senior KIBO OMS Developer to design, develop, and maintain order management solutions using the KIBO Order Management System. The ideal candidate should have hands-on experience with KIBO’s Dev Center, strong expertise in order routing configuration, and a deep understanding of KIBO Webhooks, inventory, and order lifecycle management.

Key Responsibilities:

• Design and implement Order Routing Strategies, Scenarios, Filters, After Actions, and manage Custom Data Sets & Lists in KIBO OMS.
• Develop and deploy custom applications on KIBO Dev Center using Node.js, TypeScript, JavaScript, or Java.
• Implement and manage full spectrum of KIBO Webhooks for order lifecycle events.
• Develop and support Order Management functionalities including order creation, cancellation, return, and exchange flows.
• Manage Inventory and Location synchronization, availability rules, and stock reallocation processes.
• Collaborate with cross-functional teams to integrate and consume microservices developed in Java Spring Boot or Node.js.
• Participate in technical design discussions, code reviews, and performance optimization initiatives.
• Ensure scalability, security, and performance of solutions within the KIBO OMS platform.

Required Skills and Qualifications:

• Strong hands-on experience with KIBO Order Management System (OMS).
• Proficient in Order Routing configuration including Strategies, Scenarios, Filters, After Actions, and custom data objects.
• Experience developing and deploying apps in KIBO Dev Center using Node.js / TypeScript / JavaScript / Java.
• In-depth knowledge of KIBO Webhooks and their full event list.
• Experience with Order Management workflows such as Returns, Cancellations, Exchanges.
• Working knowledge of Inventory and Fulfilment Location flows in a distributed order management system.
• Proficiency in microservices architecture, particularly using Java Spring Boot or Node.js.
• Good understanding of REST APIs, event-driven architecture, and third-party system integrations.

Preferred Qualifications:

• KIBO certification (if available)
• Experience in retail/eCommerce domains
• Familiarity with DevOps tools and CI/CD practices
• Knowledge of cloud platforms (AWS, Azure, or GCP)

Soft Skills:

• Strong problem-solving and debugging skills
• Excellent communication and documentation skills
• Ability to work independently and in a collaborative team environment
• Agile/Scrum methodology experience

Location: Hyderabad

Work Mode: Hybrid (2 days WFO)

Experience Required: 4.5+ years

Notice Period: Immediate Joiners Preferred

Employment Type: Full-Time

Mandatory Requirements:

• 4.5+ years of experience in Java Development
• Hands-on experience with AWS in a production environment
• Must be available to join immediately
• Must be willing to work in Hybrid mode from Hyderabad

Technical Skill Requirements:

• Strong hands-on experience in Core Java, Spring Boot, and Microservices
• Solid understanding of OOP concepts, Multithreading, and REST APIs
• Practical knowledge and experience working with AWS services like EC2, Lambda, S3, RDS, SNS, etc.
• Familiarity with CI/CD tools and version control systems (Git)
• Good knowledge of SQL and NoSQL databases
• Ability to write clean, efficient, and well-documented code

Key Responsibilities:

• Design, develop, and maintain scalable Java-based backend applications
• Implement and integrate AWS services to ensure scalability and reliability
• Collaborate with cross-functional teams including QA, DevOps, and Front-end developers
• Optimize application performance and troubleshoot issues in a timely manner
• Participate in code reviews, sprint planning, and team discussions
• Ensure best practices in code quality, security, and documentation
• Handle deployments and production support if needed

About Company

Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.

Roles & Responsibilities:

• Managing HR service delivery and ensuring alignment with business and HR strategic objectives.

• Partnering with business on end-to-end employee life cycle management.

• Building talent pipelines for current and future job openings

• Ensuring speed and quality of hiring as per the Manpower plan.

• Developing and enhancing our external partnerships with colleges, job boards and HR vendors.

• Contributing towards building systems & processes and initiatives with an aim to enhance productivity and retention of talent and reduce attrition.

• Deploying key initiatives to build engagement & driving communication to bring alive the EVP for employees.

• Designing & execution of Performance Management process that drives high performance.

• Conceptualization & implementation of business-relevant Talent Management practices.

• Driving training and development that will identify and meet the behavioral/ leadership/ managerial training needs of employees.

• Driving key actions to build a high performing and engaged workforce aligned with outcomes from the Employee Opinion Survey.

Requirements:

• Graduate in any discipline + MBA from a reputed institute, majoring in HR.

• Min 12 – 15 Years of experience as HR generalist / HR Business partner in BFSI domain (preference to Asset Mgt/ Wealth business)

• Working knowledge of industry standards and practices and applicable Indian Employment laws

• Excellent communication, interviewing skills & analytical skills.

• Positive attitude, quick learner, proactive and able to work independently with limited supervision.

• Excellent relationship management skills - ability to quickly build relationships with internal & senior stake holders.

• Work under pressure and tight deadlines

• Proficient in Microsoft Office.

Android Developer, Gurgaon

About Hive  

Hive is the leading provider of cloud-based enterprise AI solutions to power the next wave of intelligent  automation. We offer a portfolio of best-in-class deep learning models, built with consensus-validated  training data sourced and annotated by our distributed workforce of more than 2 million contributors  globally. Hive's APIs enable use cases including automated content moderation, contextual advertising,  advertising and sponsorship measurement, document parsing, and more. We process billions of API requests  per month for many of the world's largest and most innovative companies.  

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn  Capital, Jericho Capital, Bain & Company, Visa Ventures, and others. We have over 220 employees globally in our San Francisco and Delhi offices. 

About Role  

In order to execute our vision, we need to grow our team of best-in-class engineers. We are looking for  talented Android developers who will thrive in an autonomous engineering-driven environment. You will  take ownership of a product and have the ability to shape product direction.  

Responsibilities  

• Design and develop a delightful Android application for our users, with a focus on simplicity of use and high-performance  
• Write product-independent code and design modular APIs to be used across all of our products  
• Work across disciplines with team members from front-end, backend, design, and product  
• Help ensure we’re bug-free by writing unit-tests, and regularly communicating with our QA team  
• Actively participate in product decisions, ensuring we set reasonable development deadlines  

Requirements  

• Strong development skills with Kotlin/Java and the Android SDK  
• You have an understanding of MVP and / or MVVM  
• You understand the ins and outs of RESTful web services  
• You have experience developing, releasing, and maintaining Android applications on top of RESTful  APIs 
• You have fundamentals in OO-design, data structures, and problem solving 
• You have great communication skills and ability to work with others  
• You have experience shipping quickly and often, while still maintaining test coverage 
• You are a team player-no job is too small or too big!  

6-9 years of relevant experience in building webapps at scale

You must have strong understanding of semantic HTML / HTML5, CSS / CSS3.

You must have a good understanding of MVC architecture.

Prior work experience in ReactJS is Must

You must have experience in setting up the full UI workflow layer right from Development, Testing, Building and Deployment.

Never give up attitude

Experience in frameworks like Bootstrap, Foundation and CSS pre-processors like SASS and LESS is desirable.

You should have exposure to page speed improvement techniques.

Exposure of building responsive websites at scale will be a plus.

Prior exposure to building React Native components for Hybrid mobile apps will be a plus

Prior work experience in Angular, Backbone along with ReactJs is desirable.

Good understanding of webpack and redux