Graphic cum UI/UX Designer

Hiring: Reactjs Developer at Deqode

⭐ Experience: 6+ Years

📍 Location: Gurgaon

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We are hiring Senior Frontend Engineers with strong experience in React.js and TypeScript to build scalable, high-performance web applications using micro frontend architecture.

✨ Key Requirements:

✅ 6+ years of frontend development experience

✅Strong expertise in React.js, TypeScript, Hooks, and state management (Redux/Context)

✅Experience with Micro Frontends

✅API integration (REST/GraphQL)

✅Unit & integration testing (Jest, React Testing Library)

✅CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps)

✅Basic knowledge of Kubernetes & Docker

✅Strong Git, performance optimization, and problem-solving skills

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).

We are seeking a detail-oriented and innovative Chemical Engineer. The ideal candidate will be responsible for designing, developing, and optimizing processes for manufacturing, ensuring safety, quality, sustainability, and efficiency. This role requires strong problem-solving skills and the ability to work in cross-functional teams to improve production systems.

Key Responsibilities:

• Design, develop, and implement chemical processes for production.
• Monitor and optimize plant operations to improve yield, reduce costs, and minimize waste.
• Ensure compliance with health, safety, and environmental regulations.
• Conduct research and feasibility studies to develop new products and processes.
• Collaborate with R&D, production, and quality teams to improve efficiency.
• Troubleshoot technical issues in manufacturing and propose solutions.
• Prepare and maintain technical documentation, reports, and SOPs.
• Implement best practices for sustainability and energy efficiency.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Chemical Engineering (or related field).
• Strong knowledge of chemical processes, thermodynamics, fluid mechanics, and reaction engineering.
• Experience with process simulation tools (e.g., Aspen Plus, HYSYS, MATLAB) is an advantage.
• Good analytical, mathematical, and problem-solving skills.
• Strong communication and teamwork abilities.
• Knowledge of safety standards and environmental regulations.

Requirements

• 2.5+ years of experience in React JS and Redux
• Expert in React.j, ideally using TypeScript language extensions
• Good understanding of JavaScript Design Patterns
• Good experience writing front-end test cases
• HTML5, CSS3 and Responsive web design are mandatory
• Exposure to Scrum methodology and XP technical practices such as unit testing, pair programming, test-driven development, continuous integration or continuous delivery
• Self-motivated, fast learner, detail-oriented, team player and a sense of humour
• Should have experience with Payment(US) Integrations
• Should have experience with Ecommerce/ERP Connectors

Responsibilities:

.Create exclusive distributors, exclusive super stockiest and business associates for the company towards business growth.

.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.

.Finding and developing new markets and improving sales.

.Keep abreast with stock reports, inventory, product orders, re-order etc.

Requirements:

.Bachelor's degree in business, marketing or a related field.

.Experience in sales, marketing or related field.

.Strong communication skills and excellent organizational skills.

.Proficient in Word, Excel, Outlook, and Powerpoint.

Job Description

An iOS developer is responsible for developing applications for mobile devices powered by Apple’s

iOS operating system. They must also have a strong understanding of the patterns and practices

that revolve around the iOS platform.

Responsibilities

1. Design and build advanced applications for the iOS platform

2. Collaborate with cross-functional teams to define, design, and ship new features.

3. Unit-test code for robustness, including edge cases, usability, and general reliability.

4. Work on bug fixing and improving application performance.

5. Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Skills & Qualifications

1. Experience working with iOS frameworks such as Cocoa Touch, Firebase, Alamofire

2. Degree in Computer Science, Engineering or a related subject

3. Proven working experience in software development

4. Working experience in iOS development

5. Have published one or more iOS apps in the app store

6. Must have knowledge of Swift & Objective C

7. Experience with third-party libraries and APIs

8. Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies

9. Solid understanding of the full mobile development life cycle.

Experience Requirement

We are looking for the candidates with 3+ years of experience