Automation Test Engineer (Dynamics 365 / POS)

About us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy and committed communication company that wants its

clients to always Expect the EXTRA from it. Our primary clientele consists of Startups & Corporates like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha,

Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, coders and a puppy momo, who believe Moshi Moshi is an experience rather than a company.

Job Role - Social Media Marketing Intern

Experience Level - 0 to 1 year

Location - Bangalore

Job Overview:

We are seeking a creative and enthusiastic Social Media Intern to join our dynamic Digital Marketing team. The ideal candidate will be passionate about social media trends and digital marketing

strategies, with a keen interest in developing and implementing engaging social media campaigns. This internship offers hands-on experience in a fast-paced environment, where you will assist in

managing our social media presence and contributing to our overall marketing goals.

Key Responsibilities:

● Content Creation: Assist in creating and curating engaging content for various social media

platforms, including Facebook, Instagram, Twitter, LinkedIn, and TikTok.

● Social Media Management: Support the scheduling and posting of content across social

media channels, ensuring consistency and alignment with the company’s brand voice and

marketing objectives.

● Engagement: Monitor social media channels for customer interactions, respond to comments

and messages in a timely and professional manner, and engage with followers to build a

strong online community.

● Analytics: Track and analyze social media metrics and performance, providing insights and

recommendations for improvement based on data trends and reports.

● Campaign Support: Assist in the planning and execution of social media campaigns and

promotions, including writing copy, designing visuals, and tracking results.

● Research: Stay updated on the latest social media trends, tools, and best practices, and provide recommendations for incorporating new strategies into our social media efforts.

● Collaboration: Work closely with the Digital Marketing team to align social media strategies with broader marketing goals and initiatives.

Job Summary

We are looking for an experienced Drupal Developer with 5–10 years of expertise in Drupal CMS development, customization, and theming. The ideal candidate should be proficient in Drupal core APIs, custom module development, PHP, and front-end technologies (HTML5, CSS3, JavaScript/jQuery). The role involves building responsive, secure, and scalable web applications while collaborating with cross-functional teams.

Responsibilities

• Design, develop, and maintain Drupal-based websites and applications.
• Build and customize modules, themes, and templates for scalable solutions.
• Ensure responsive, cross-browser, and high-performance applications.
• Collaborate with UI/UX, QA, and backend teams to deliver end-to-end solutions.
• Troubleshoot, debug, and upgrade existing Drupal projects.
• Follow best practices in coding, version control, and security.

Mandatory Skills

• Strong proficiency in Drupal (7/8/9/10) including custom module development, key contributed modules, and Drupal core API.
• Solid knowledge of PHP, theme layer, and template systems.
• Expertise in HTML/HTML5, CSS/CSS3, JavaScript/jQuery for responsive websites.
• Familiarity with version control tools like Git.
• Good understanding of web security, SEO, and performance optimization.

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)

Are you obsessed with Spotify playlists, Instagram Reels, and YouTube Shorts? Do you know exactly what audio is trending before it hits the mainstream? We are looking for a young, high-energy, and creative Digital Media & Music Marketer to drive the campaign for our upcoming commercial feature film, SPARK, and an exciting pipeline of future projects.

This isn't a traditional 9-to-5 desk job. You will be the creative engine behind our music marketing, responsible for making our soundtracks go viral, building hype on social media, and getting our music heard on the right platforms.

What You Will Do (The Hustle):

• Create Viral Short-Form Content: Script, shoot, and edit high-engagement Instagram Reels, YouTube Shorts, and TikToks using movie footage, behind-the-scenes content, and trending audio formats.
• Influencer Outreach: Identify, pitch, and collaborate with digital creators, meme pages, and lifestyle influencers to use our movie tracks in their content.
• Music Streaming Hustle: Pitch and place our songs on curated Spotify, Apple Music, and JioSaavn playlists (both editorial and independent curator playlists).
• Radio & Media Coordination: Connect with Radio Stations (RJs and programming heads) to secure airplay, interviews, and promotional spots for the film's music.
• Community Management: Engage with fans in the comments, run online contests, and build a buzzing digital community around the film's release.

Who You Are (The Profile):

• Freshers Welcome! A degree in Marketing, Media, or Communications is a plus, but your personal social media footprint and passion matter more.
• Gen-Z Trend Spotter: You live on Instagram and YouTube. You understand algorithms, hooks, visual storytelling, and what makes people share content.
• Music Enthusiast: You know how the modern music ecosystem works—from Spotify algorithms to how a song trends on Reels.
• Natural Networker: You aren't afraid to cold-DM an influencer, email a Spotify curator, or call up a radio station to pitch our music.
• Basic Editing Skills: Handy with mobile editing apps (CapCut, VN, InShot, Canva) or Premiere Pro/Final Cut. You know how to cut a video to the beat of a song.

What’s In It For You?

• Real-World Film Marketing Experience: Get your hands dirty marketing a mainstream commercial cinema release (Spark).
• Portfolio Goldmine: Your work will be seen by hundreds of thousands of people. Perfect for building an enviable portfolio in entertainment marketing.
• Access & Networking: Work directly with film producers, artists, actors, and media executives.
• Growth Potential: GAP Studios is scaling a multi-film slate and music projects over the next three years. Prove yourself here, and you can grow into a core leadership role.

• Developing sales strategies to draw in potential buyers or to solicit new potential customers.
• Initiating contact with potential customers through cold-calling or responding to inquiries generated from advertisements.
• Creating relationships with customers to identify their potential needs and qualify their interests and viability to drive sales.
• Presenting product information to customers once you have identified their needs.
• Moving solid leads through the marketing funnel, connecting them to a salesperson, and arranging in-person meetings, emails, or phone calls.
• Following up with potential customers who expressed interest but did not purchase any goods or services.
• Performing regular follow-up calls or emails and facilitating communication with existing customers to ensure their satisfaction and identify new potential needs.
• Collaborating with sales executives to ensure the company's goals and targets are met.

Job Title:

UX Writer

Job Description:

• 
  Setup & Own the UX writing framework end-to-end - translating research into actionable insights, then creating content as per the designed workflows.
• Collaborate with researchers, UX Designers, & product managers to apply user insights to inform strategic decisions & copy direction
• Craft compelling copy across user interfaces, across customer touchpoints on web, mobile web & app to improve overall effectiveness of the product by Ensuring clear & concise micro-copy for all scenarios including informational, error & instructional content.
• Create, maintain, & implement style guides & shared nomenclature across  products
  
  

Experience Range:

2 - 5 years

Educational Qualifications:

Any graduation,

Job Responsibilities:

• 
  Love for the Language. Multilingual is added advantage
• 2+ years in UX writing working with a product design environment
• The ability to create copy in a variety of different formats, from microcopy to long-form.
• An understanding of product design and how that relates to user & business impact.
• Ability to prioritize and manage multiple milestones and projects efficiently.
• Detail oriented, advanced problem solving skills with customer-centric approach

Skills Required:

UX writer,

Candidate Attributes:

• 2+ years of UX writing experience in a product design environment.
• Bachelor's degree in English, Journalism, Technical Writing, UX, HCI.
• Excellent English written and verbal communication skills.
• A portfolio that showcases a range of content you’ve created, such as interaction flows, emails, product tours, and style guides.
• Strong writing, grammatical and proofreading skills with the ability to be creative in writing product descriptions.

Requirement:

• 5+ years of experience in Quality Assurance
• Knowledge of Casino Gaming Domain
• Experience in Kiosk Application testing
• Experience in Assets Testing
• Configuration of Screens, Promotions and Drawings
• Experience in Azure DevOps bug tracking tool
• Experience of regression testing, integration testing.
• Debugging skills
• Good communication skills and ability to interact with clients.
• Good problem solving skills.
• Bug raising and retesting.