Senior Software Engineer

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 Us

Aquil Software is a dynamic and innovative IT company focused on delivering cutting-edge web applications and digital solutions. We pride ourselves on a collaborative team culture, continuous learning, and rapid growth.

Role Overview

We’re seeking an experienced Full Stack Developer to architect, develop, and maintain scalable web applications. The ideal candidate will be comfortable working across the entire stack—from crafting responsive front-end interfaces in Angular to building robust back-end services in PHP (Laravel & CakePHP) and Node.js.

Key Responsibilities

Front-End Development:

• Design and implement frontend integration using Angular (v8+).
• Ensure optimize performance.

Back-End Development:

• Build RESTful APIs and microservices using PHP (Laravel and CakePHP) and Node.js.
• Integrate with databases (MySQL, PostgreSQL, MongoDB) and third-party services.

Maintenance & Troubleshooting:

• Diagnose and resolve production issues with minimal downtime.
• Monitor application performance and implement optimizations.

Collaboration & Documentation:

• Work closely with UX/UI designers, QA engineers, and stakeholders.
• Write clear technical documentation and user guides.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

Experience:

• Fresher willing to learn and commit for long term bright future.
• 1-3 years building applications with Angular.
• Strong PHP background, with at least one year each in Laravel and CakePHP.
• Experience developing server-side applications in Node.js.

Technical Skills:

• Proficient in JavaScript/TypeScript, HTML5, CSS3/Sass.
• Deep understanding of MVC frameworks (Laravel, CakePHP) and dependency injection.
• RESTful API design and implementation.
• Experience with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with Git version control workflows.
• Knowledge of authentication/authorization (OAuth, JWT).

Soft Skills:

• Strong problem-solving and debugging abilities.
• Excellent communication and teamwork.
• Self-motivated, detail-oriented, and adaptable to changing requirements.

What We Offer

• Competitive salary and performance bonuses.
• Flexible working hours.
• Professional development learning resources.
• Collaborative, inclusive culture with regular team events.

• Experience in either of these Relational DB’s MS SQL Server / PostgreSQL / AWS Aurora DB / MySQL / Oracle / NOSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch DB.
• Design database tables, views, indexes
• Write functions and procedures for Middle Tier Development Team
• Work with any front-end developers in completing the database modules end to end (hands-on experience in parsing of JSON & XML in Stored Procedures would be an added advantage).
• Query Optimization for performance improvement
• Design & develop SSIS Packages or any other Transformation tools for ETL

• Banking / Insurance / Retail domain would be a plus.
• Interaction with a client a plus

• Knowledge in a Cloud Platform (AWS / Azure)
• Knowledge on version control system (SVN / Git)
• Exposure to Quality and Process Management
• Knowledge in Agile Methodology

• Team building (attitude to train, work along, mentor juniors)
• Communication skills (all kinds)
• Quality consciousness
• Analytical acumen to all business requirement
• Think out-of-box for business solution

About Zuddl

Zuddl allows companies and organisations to set up their premier flagship event from anywhere in the world within 20 minutes. The one platform for all enterprise events, internal or external, hybrid or virtual. Over the last few months, we have had companies like Microsoft, Deloitte, HSBC, Adobe, Barclays, Ab InBev, Razorpay, Synopsys, WhiteHat Jr, Groww etc host their events on Zuddl. NASSCOM uses Zuddl to host their marquee conferences like Product Conclave, ER&D Summit and GCC Conclave.

Responsibilities / Things you would do

Things you would do

• Work on highly interactive React app with video, live streaming, real-time engagement etc
• Handle backend with thousands of concurrent users on large-scale events
• Optimising app performance and build for low-latency and efficient bundle size
• Follow best practices to build high quality app with unit testing
• Modern stack with React, Redux, Java 11, Postgres, Redis
• Collaborate with engineers and designers in fast-paced and high growth environment
• Passion for clean and appropriately tested code
•  

Things you would need

• 3-5 years of experience as Full Stack Developer
• Key expertise in React, Java
• Well rounded Full-Stack developer with exposure to all layers of application and development
• Proficiency with fundamental front end languages such as HTML, CSS, and Javascript
• Strong understanding of different software development practices, infrastructure
• Strong background in technology and application design
• Self-starter, able to deliver project on time meeting high quality standards

Nice to Have

• Experience with WebRTC, Live Streaming or other related video technologies
• Previously worked at high growth Indian startups and/or startup founders highly preferred

• java 8+
• springcore 
• springboot
• MongoDB
• Angular
• Agile

• Computer Science fundamentals in object-oriented design, design patterns, data structures, algorithm design,
• Proficiency with Java
• 1+ years of experience contributing to architecture and design in a product setup

Key Responsibilities

• Understand customer needs by collaborating with Product Managers and Business stakeholders
• Design, development, delivery, and support of large-scale, distributed software applications and tools
• Use software engineering best practices to ensure a high standard of quality and maintainability for all deliverables
• Work in an agile, startup-like development environment, where you are always working on the most important stuff.
• Take initiatives and come up with new ideas to invent solutions for customers