E Commerce Manager /Digital Marketing Manager (Pharma) in Delhi

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)

• EDW/BI experience of 15+ years with at least 2-3 end to end EDW implementation experience as Solution or Technical program manager
• Must have at least ONE Azure Data Platform implementation experience as Solution or Technical Project manager (Azure, Databricks, ADF, PySpark)
• Must have technology experience in any of the ETL tools like Informatica, Datastage and etc.
• Excellent communication and presentation skills
• Should be well versed with project estimation, project planning, execution, tracking & monitoring
• Should be well versed with delivery metrics in Waterfall and/or Agile delivery models, scrum management
• Preferred to have technology experience of any of the BI tools like MicroStrategy, Tableau, Power BI and etc.

Job Title: Sr. Sales & Marketing Executive

Job Profile:

Area of operation: Sr. Sales & Marketing Executive

Job Responsibilities:

● Creating relationships with potential and existing clients via networking, calls, emails and in-person meetings.

● Building and sustaining long-lasting relationships with existing and potential clients.

● Researching potential clients' products or services and determining the geographic location of most of their target customers.

● Meet with potential clients to present company offerings and proposals and address their concerns

● Assisting the marketing team in the preparation of media kits and promotional plans.

● Attending networking meetings, sales meetings, trade shows, exhibitions and workshops as required.

● Generate a sales funnel for the company’s various offerings.

● Convincing clients to purchase company products and services by communicating the benefits.

● Generating leads and efficiently keeping in regular contact with existing prospects.

● Understanding and keeping up-to-date with constant developments in the communications industry and agency market.

● Identifying areas for expansion and development.

● Create weekly/monthly forecasts on revenue/target management and end-of-month revenue and market performance reports.

● Delivering against these targets to ensure revenue expectations are met.

● Maximizing networking opportunities and regularly using conferences, events and trade shows to increase awareness and develop a further network of contacts.

● Maintaining Client Database from all available sources.

● Make sure that monthly, quarterly and annual sales targets are met.

Key Skills /Requirements:

● Minimum 3+ years experience in the field of Sales & Marketing of Media / Agency / IT Background (face-to-face experience imperative; experience within the Agency sales preferred)

● Educated to degree level or equivalent

● Self-starter who is target-driven and self-motivated and must be comfortable in a target-oriented environment.

● Excellent communication and presentation skills (telephone, written and face-to-face)

● Consultative sales skills: our audience is made up of agencies/media owners and requires a balance of soft sell approach and hard sell closure

● Excellent time management, an individual who thrives on working autonomously

● Experience working in IT sales with a bit of technical knowledge and understanding of and passion for the industry.

● The ideal candidate will be determined, outgoing, positive, articulate and diplomatic.

Experience: Min. 3 years+ (Fresher’s strictly don’t apply) Candidates Preferred: Only females - mandatory in the media, events, and advertising.

Working Hrs. 10.00 a.m. to 7.00 p.m. [Monday – Friday][Alternate Saturdays]

If Anyone interested apply through link :-  https://tiny.cc/NGtalent

About the Role

We are seeking a detail-oriented QA Engineer with strong expertise in automation testing, test planning, and cloud technologies. The ideal candidate will ensure the quality and reliability of our products through rigorous manual and automated testing, while also contributing to continuous improvement in our CI/CD pipeline and cloud-native environments.

Responsibilities

• Design, develop, and execute test plans, cases, and scripts for functional, integration, system, regression, and UAT testing.
• Build and maintain automation frameworks for E2E and API testing (Playwright, SoapUI, or similar).
• Integrate automated test suites into CI/CD pipelines to enable continuous testing.
• Collaborate with developers, product managers, and DevOps engineers to ensure high-quality software delivery.
• Perform defect tracking, reporting, and root cause analysis to drive continuous improvement.
• Apply knowledge of AWS cloud-native services and Terraform to support testing in cloud-based environments.
• Write and maintain reusable test automation scripts with JavaScript/TypeScript.
• Support release validation, performance checks, and production monitoring as needed.

Must-Have Requirements

• Strong experience in test planning & execution (functional, integration, regression, UAT).
• Hands-on with automation testing frameworks (Playwright, SoapUI, etc.).
• Proficiency in JavaScript with basic understanding of TypeScript and SQL.
• Experience with Terraform and good exposure to AWS Cloud Native services.
• Ability to integrate test automation with CI/CD pipelines.

Nice-to-Have Skills

• Familiarity with other automation tools (Selenium, Cypress, Postman, etc.).
• Experience in performance testing and security testing.
• Knowledge of Docker/Kubernetes for containerized environments.
• Strong analytical and problem-solving skills.

Job Description:-  

•  Design, build and maintain excellent React Native applications with clean code.
• Build pixel-perfect, smooth UIs across both Android and iOS mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Integrate third-party API's.
• Write unit and integration tests.
• Release applications to IOS and Google Play stores.
• Work with native modules when required.
• Assist with building estimates.
• Work with modern tools including Jira, GitHub, Bitbucket etc.
• Implement clean, modern, smooth animations and transitions that provide an excellent   user experience.

Desired Candidate Profile :

• 3+ years of professional experience working with React Native.
• 5+ years of professional software development experience
• Experience Working with Swift, Objective C, and Java a plus but not required.
• Meaningful experience working on large, complex systems.
• Ability to take ownership over your work.
• An understanding of React Native best practices and a commitment to following them.
• Ability to work through new and difficult React Native issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of React Native applications.

If interested, then request you revert with your updated CV

The Mobile Application Developer will be the primary resource responsible for Envoy’s mobile offering.  They will develop improvements using Ionic, as well as manage deployment to the appropriate app stores.

Key Responsibilities:

• Develop solutions in Ionic with focus on building scalable, maintainable and secure code, while providing an intuitive, modern user experience
• Actively collaborate with business, production support, and other software engineers
• Maintain the mobile apps status and manage deployments to Google’s and Apple’s app stores
• Keep up to date and champion the latest mobile technology and methodologies

Position Requirements:

• At least 7 years of experience with mobile development OR a modern web platform such as Angular, React or Vue.js
• At least 2 years of experience and demonstrated expert knowledge of Ionic.
• Experience with maintaining and deploying mobile applications to Google’s and Apple’s app stores
• Ability to “own” a project and be a strong contributor without constant management.
• Strong written, verbal and presentation skills

Envoy Global is an equal opportunity employer and will recruit, hire, train and promote into all job levels the most qualified applicants without regard to race, color, religion, sex, national origin, age, disability, ancestry, sexual orientation, gender identification, veteran status, pregnancy, or any other protected classification.