Marketing Specialist,BioPharma

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-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 LLMpowered 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 singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair 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 qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable 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 Al work, and raise the engineering bar across the Al 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 Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al 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 OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex 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 Al. Track record of measurable cost optimisation on production Al 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 Al 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 Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

Strong Full-Stack Engineering Profiles (Python + React)

Mandatory (Experience 1) – Must have a 2+ YOE in Full-stack development using Python (backend) and React.js (frontend)

Mandatory (Experience 2) – Must have strong hands-on experience in cloud platforms - AWS or GCP

Mandatory (Education) – B.Tech / M.Tech in Computer Science or IT (BCA / MCA also acceptable).

Mandatory (Company) – IT Services/ Product startup companies or niche consulting firms (e.g., ThoughtWorks, EPAM, Persistent, Happiest Minds).

Preferred

Preferred (Experience 1) – Exposure to serverless architectures (AWS Lambda) and CI/CD pipelines.

Preferred (Experience 2) – Understanding of modern DevOps practices, cloud-native deployments, and rapid prototyping.

Role: Oracle HCM Functional

Location: Hyderabad

Responsibilities

- As a Subject Matter Expert:

1. Should have Strong functional Experience (Configuration & Solution) in HCM Cloud

·        Must Have: Benefits, Compensation

2. Should have around 6 yrs experience working in Support Projects

3. Good understanding of the HCM Business Processes.

4. Good experience in handling Clients on - Requirements, Solution, Support Issues, Demo

5. Good experience working on Requirements, Functional Design documents & End to end Functional Testing.

6. Understanding of Offshore – Onsite Delivery model is an advantage.

7. Though not a complete Technical – should be able to query the data for analysis/debug.

8. Generic:

a. Strong communication and Client Interaction skills.

b. Should be an Active Team Player with a good attitude and aggressive mind set,

c. Ability to learn quickly and deliver.

9. Experience: around 6 years

Microcode Software looking Intern for the post of Email Process Executive responsible for working as assigned by the senior.

• Minimum of 1-2  years of experience as a Full Stack Developer or similar role.
• Bachelor’s degree in Security, Computer Science, or a related field.
• Experience with  React.js, Node.js, Next.js, and JS libraries.
• Must have an understanding of web3 and blockchain fundamentals.
• An exceptional understanding of secure and scalable application development, including the full lifecycle of API microservices services, including authentication, API gateways, and versioning.
• Excellent analytical and time management skills.
• Ability to wear many hats and learn new technologies quickly.
• Solid knowledge of web architecture and design patterns.
• Good knowledge and understanding of Backend and Frontend technologies
• Hands-on experience in building REST API using NodeJs
• Excellent communication and teamwork skills
• Great attention to detail.

Job Description:

A sales development representative (SDR) is responsible for outbound sales prospecting for the Enterprise segment. Rather than trying to close deals, his/her work revolves around generating and qualifying new leads and moving them through the sales pipeline, until they’re ready to talk to the account executives/sales closers. He/she has to validate and screen potential customers given by LDRs (Lead Development Representatives) who can benefit from our products. As the first line of communication with prospects, ideal SDRs should have a strong understanding of the sales process, excel at researching leads, understand key pain points, start new relationships, and set our sales closers up for success. You should be a quick learner with strong communication skills and have the ability to showcase our offerings compellingly. Every potential customer is an opportunity for you to boost top-line revenue growth, customer acquisition levels, and profitability.

Role & Responsibilities

• Generate Sales Qualified Opportunities from various lead generating channels through LDRs, LinkedIn, Company Reports and profiles etc.,
• Design email campaigns (persona wise) to generate interest in the leads.
• Do discovery meetings to understand the pain points of the prospects.
• Do email/calls to the target audience to generate interest and fix demo appointments.
• Represent our company’s products and services, starting with a comprehensive understanding and leading to consumer research to identify how our solutions meet needs.
• Build relationships by nurturing warm prospects and finding new potential sales outlets.
• Manage and maintain a pipeline of interested prospects and engage sales executives for the next steps.
• Identify best practices to refine the company’s lead generation.

Desired Candidate Profile

• Bachelor’s/Master’s Degree from an accredited University with relevant 0-2 years of sales experience.
• Must have strong interpersonal, communication, and presentation skills across a variety of channels (email, social media, phone, etc.)
• Should showcase a target-oriented approach toward his/her work.
• Possess a research-oriented approach to identifying opportunities.
• Prior automotive experience is preferred but not mandatory.
• Willingness to work outside the strict job description parameters, thinking creatively about how to provide the highest level of internal and external customer service.
• Strong desire and ability to come up with innovative ideas.
• Ability to see problems as opportunities.
• Prior experience in using CRM is preferred but not mandatory.

Employment Type

Full-time

Apply through this link

https://garageplug.freshteam.com/jobs/GFHD8JF1VJm7/sales-development-representative-sdr" target="_blank">https://garageplug.freshteam.com/jobs/GFHD8JF1VJm7/sales-development-representative-sdr

We at Wow Labz are always striving to look for exciting problems to solve. Whether we’re creating new products or helping a small startup extend its reach, we build from our heart. We’re entrepreneurial and we love new ideas. Fun culture with a team that cares about your development and growth.

We are looking for an experienced game designer working primarily with Unity to be a part of our exciting game development team at Wow Labz. You would be part of a team that is working on designing and developing the future of games and interactive experiences. 

We are creating amazing experiences and hub worlds in the metaverse which integrate with our blockchain protocols to offer unique experiences. 

Your primary responsibilities would be prototyping various hub zones within the virtual world in Unity, developing scenes and environments as per the project requirement and also implementing various characters and avatars into the game world. You will also work with the backend team to integrate the world into a multiplayer experience.

• Publicly accessible links to games you have built and deployed. These need to be Unity based. (Please provide links to these)
• 3D work you have done in Blender or Maya. (Please provide links to these)
• List of certifications you have completed on Unity (optional).

• Create a fun, casual adventure world with various hubs and a marketplace!
• Create collectibles and architect an economy system inside the game.
• Create and design fun 3D models and avatars for the Player as well as NPCs. Work with cool libraries like Mixamo to implement fun animations and player world navigation systems. 
• Create exciting and custom face models for 3D characters! 
• Create and customize player animation trees and character animations while working with state-machines and co-op animations. Create fun emotes and player actions!
• Create awesomely fun multiplayer user-to-user interactions and emotes.
• Design responsive game UX/UI in Unity for various screen sizes and orientations. 
• Prototype and deploy scenes in a quick and efficient way and iterate on levels quickly.
• Integrate smart and performance-effective lighting techniques in-game based on time-of-day and other factors.
• Work with materials, textures and shaders for environmental objects as well as characters.
• Implement programmatic and spatial 3D sound in-game.
• Work with Cinemachine cameras and Timeline to create cut-scenes and programmatic camera movements.
• Create performant and optimized scenes. (Prefabs, reusable components, singletons).
• Profile and improve performance for mobile (Unity profiler, Rendering optimization).

• 2+ years of minimum production experience in Unity game development.
• Must have released at least 1 game commercially.
• Team player and takes responsibility for work, handles feedback well.
• Strong working knowledge of Unity systems like  Prefabs, Animations, UI, TextMeshPro, Profiler, Cinemachine, Terrain, 3D Sound, etc.
• Experience working with Blender, Maya and 3D pipeline for game dev.
• Strong grasp of Photoshop or other image manipulation tools.
• Strong AR/VR and Metaverse understanding is a bonus.
• Good knowledge of Unity C#.
• Experience with Git. (Unity Collaborate and PlasticSCM is a bonus)
• Knowledge of Visual Scripting is a bonus.
• Highly capable of executing in a fast-paced, virtual, changing environment
• Strong problem-solving, analytical and troubleshooting skills

• Hands-on experience with developing Multiplayer games.
• Platform experience with releasing on Android and iOS.
• Experience writing custom shaders in Unity.

• Curious and aware of the latest digital and social media trends
• Avid Gamer who is knowledgeable  about the latest gaming trends
• Strong relationship-building skills
• Exceptional analytical reasoning, problem-solving, and creative thinking skills
• Extremely self-driven and able to execute in a diligent manner
• Get a kick out of leading a solution towards its completion
• Fun to hang out with!