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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)

About the Company:

A fast-growing, seed-funded AI startup is building the next-generation AI Operating Layer for enterprise IT operations. The platform leverages Agentic AI and enterprise automation to transform how IT services are delivered. As the engineering team rapidly scales, they are looking for an experienced QA Automation Engineer to build a robust automation-first testing practice.

Role Overview

We are looking for a hands-on QA Automation Engineer who can own the test automation strategy for a modern AI-powered platform. This is an automation-first role with minimal manual testing, requiring close collaboration with engineering and product teams to ensure fast, reliable, and high-quality releases.

Key Responsibilities:



• Design, build, and maintain scalable automation test frameworks.
• Automate UI, API, regression, and end-to-end test scenarios.
• Work closely with developers to ensure high product quality.
• Integrate automated tests into CI/CD pipelines.
• Perform API, functional, regression, and integration testing.
• Improve release quality through automation and continuous testing.
• Support performance, security, and reliability testing initiatives.
• Own automation from design through production validation.

Required Skills

• 5–8 years of experience in QA Automation.
• Strong hands-on experience with automation frameworks such as Selenium, Playwright, Cypress, or similar.
• Experience with API Testing and automation.
• Knowledge of REST APIs and backend testing.
• Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps, etc.).
• Strong debugging and analytical skills.
• Good understanding of SDLC, STLC, and Agile methodologies.
• Excellent communication and collaboration skills.

Good to Have

• Performance or Load Testing.
• Security Testing.
• Experience testing AI/ML or GenAI applications.
• Cloud platforms (AWS/Azure/GCP).
• Docker or Kubernetes exposure.
• Scripting using Java, Python, or JavaScript.

Why Join?

• Be part of the founding engineering team of a well-funded AI startup.
• Build an automation-first quality engineering practice from the ground up.
• Work directly with experienced founders and senior engineers.
• Solve challenging engineering problems in AI, enterprise automation, and distributed systems.
• High ownership, fast-paced environment, and significant growth opportunities.

We are hiring a Java Production Support Engineer with hands-on experience in Java, Spring Boot, and Splunk. You’ll be responsible for ensuring smooth functioning of our production systems by proactively monitoring, troubleshooting, and resolving issues in real time.

Key Responsibilities

• Provide L2/L3 support for Java/Spring Boot-based applications in production.
• Monitor logs and system health using Splunk and other observability tools.
• Troubleshoot performance, latency, and availability issues.
• Perform root cause analysis (RCA) and work with dev teams for permanent fixes.
• Support incident and change management processes.
• Create and maintain runbooks and support documentation.

Must-Have Skills

• Strong knowledge of Java, Spring Boot, and REST APIs.
• Proficient in using Splunk for log analysis and monitoring.
• Good understanding of relational databases (SQL) and Linux commands.
• Experience with CI/CD tools (Jenkins, Git) and basic scripting (Bash, Python).
• Analytical thinking and excellent problem-solving skills.

Hello,

We have a job opportunity for Product Designer

Company Name: Furniture Kraft International Pvt Ltd.

Brand Name : Metallika

Location: Mumbai

Job Type: Full-time

Qualification : Bachler's in Product design / Interior designing

Experience : 3+ years in Product Design / Interior designing

Salary : 40k - 50k

About Us:

FURNITURE KRAFT International Pvt Ltd is built on the strong philosophy of developing furniture that combines functionality with innovative design. Today we are an ISO 9001:14000 certified company manufacturing Metal beds, sofas and sofa-cum-beds, and specialized products for institutions of education, Hostel and healthcare. As we continue to expand our team, we are seeking a talented Candidate to contribute to our exciting projects and uphold our commitment to excellence.

Job description:

We are seeking a talented and creative Product Designer to join our dynamic team. As a Product Designer, you will be responsible for creating intuitive and visually appealing designs for our products, ensuring a seamless user experience. You will work closely with cross-functional teams, including product managers, engineers, to translate user needs and business requirements into innovative and user-friendly designs.

Roles & Responsibilities

1. Designing and coordinating with production on taking products from concept to reality.

2. Creating and expanding our catalogue of in-house products and development.

3. A keen understanding of furniture details – materiality, joinery, sizing etc.

4. Thorough research skills- trends in market, client/ project dealers requirement etc.

5. Vendor Research

6. Quality Check of the product.

7. Launching product and website listing

Skills :

1 AutoCAD – (Must)

2 Solidworks ( Good to have)

3 3D software, SketchUp, 3DS MAX etc.

4 Photoshop

Job Description:

• Work closely with various people and teams throughout the entire app development cycle (concept, design, build, deploy & test) in an agile environment.
• Design and build applications for the Android platform.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Knowledge of other web technologies and UI/UX standards.
• Familiarity with cloud message APIs and push notifications.
• Proficient understanding of code versioning tools like Git.
• Maintain and update the existing mobile app.

Reporting Structure

• This position reports to the Team Leader - Technology.

Job Specifications

• An Graduate in IT or Post graduate or Engineer in IT; with 4+ years’ of relevant experience.
• Minimum 2 years of experience in Flutter is a must.
• Familiarity with RESTful APIs to connect Android applications to back-end services.
• Excellent communication and interpersonal skills.
• Strong problem solving, analytical, decision making and technical ability.

Our client is a rapid growth stage Edtech start-up focused on solving the teacher shortage crisis in the US education system using technology by bringing teachers to the classrooms and giving them access to the right tools to teach students in a highly engaging manner.

They have a development center in Mumbai and they are looking to scale up the teams in Pune and Bangalore as well.

What does the role entail:

● Lead User Stories and guide senior/software engineers in the development process

● Understand architectural principles, and design patterns, and implement them from architectural artifacts.

● Collaborate with product managers, designers, and other stakeholders to develop and implement project plans.

● Lead the development of software solutions using Microsoft Technologies, including .NET, C#, SQL Server, Azure, and other related technologies.

● Ensure the use of best practices and processes in software development, including code reviews, automated testing, and continuous integration/continuous deployment (CI/CD).

● Provide technical guidance and mentorship to team members, and work with them to resolve technical issues and challenges.

● Work with other Engineering Managers and senior leaders to define and implement engineering best practices and processes across the organization.

● Keep up to date with industry trends and emerging technologies and evaluate their potential impact on the organization's development practices.

Must-Have Skills:

● B.E/B.Tech in computer science

● 12 to 15 years of experience in software development, with a focus on Microsoft Technologies.

● 3+ years of experience in managing teams of software developers and leading software development projects.

● Understanding of Frontend Technologies: Angular 14+

● Strong technical skills in .NET, C#, SQL Server, Azure/AWS, and related technologies.

● Understanding of Design patterns and various Architecture patterns like Domain Driven Design/Microservices.

● Strong leadership and management skills, with a proven record of accomplishment in delivering high-quality software solutions on time, with high quality and within defined KPIs.

● Good understanding of Agile software development methodologies

Position Summary

As a Senior Sitecore developer your focus will be on delivering deep technical solutions for our clients. You will be expected to solve business problems, develop standards and practices, and interact with technical leaders. You will be building solutions based on the latest Microsoft .NET technologies as well as the Sitecore Content Management System. You will be required to accurately estimate scale and scope of work, document requirements, and communicate flawlessly with business users. You will continue to improve your technical skills and knowledge by participating in projects of various sizes and scope. You won't be working to simply solve a problem, but to solve it in a best way.

Key Responsibilities

· Develop new .NET based functionalities and applications in Visual Studio.
· Work for customers. In our office, or on-site in their office.
· Accurately estimate the scale and scope of projects.
· Ensure all solutions are documented and meet design requirements.
· Lead and mentor other developers.
· Fully understand and communicate business requirements clearly.
· Architect custom solutions and maintain applications for our clients.
· Good English skills and the ability to thrive in a multinational environment
· Quality awareness, self-motivation, and problem solving skills
· Experience with Design pattern is a plus
· Full development lifecycle experience

Minimum Requirements

· Education – Bachelors Degree
· Minimum 3+ years of work experience and hands on experience on MVC 5.0 related projects.
· Preference will be given to candidates who have any CMS knowledge
· Minimum of 2+ years of experience working on Sitecore. Knowledge of working in Sitecore on Azure and/or AWS is plus
· Travel Requirements – N/A

Play an active role to support the operations to ensure growth of the company
Maintain MIS for Campaigns
Handle data on funds transfered
Generate reports as required.
Provide end to end solutions to customers from Social media leads
Coordinate with internal departments for Finance & Tech support.
Facilitate smooth functioning of fundraisers & campaigns
Work effectively & actively in a team.