dotNet Developer

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)

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/">https://www.orbo.ai/.

We are looking for a qualified Backend Developer to design and code functional programs and applications. You will work as part of a team and individually with little supervision.

A great Application Developer has excellent knowledge of Javascript. 

They must be familiar with a variety of operating systems and platforms. The ideal candidate will also have an analytical mindset and a keen eye for detail.

The goal is to write “clean” and flawless code to produce fully functional software applications according to requirements.

Experience: 2 years and more

CTC: Upto 18 LPA

Skills Required

• 2+ years of web application development experience using Javascript
• Experience in Node.js, and Express.js/loopback.js
• Deep understanding of RESTful APIs
• Data modelling experience in both relational and NoSQL databases(MongoDB preferred).
• Experience deploying and maintaining a micro-service architecture
• Experience with Microsoft Azure
• Experience with server-less infrastructure paradigms (AWS Lambda, etc).
• Experience building a scalable product is a bonus!

Knowledge/Qualifications/ Competency

• Any Graduate – Any Specialization with 3+ yrs of relevant strong object-oriented JavaScript & MVC with analytical/logical thinking & problem solving skills (Object Oriented JS, JQUERY, NodeJS)

Responsibilities

• You will write reusable, testable, and efficient code
• You will look to optimise applications for performance and scalability.
• You will be building secured backend API's to be consumed by multiple applications (e.g. web and mobile)
• You will constantly be collaborating with a team member and help colleagues
• You will make architectural decisions
• You will use every possible opportunity to share your own professional experience with your team members

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Role: Sr. Java Developer

Experience: 6+ Years

Location: Bangalore (Whitefield)

Work Mode: Hybrid (2-3 days WFO)

Shift Timing: Regular Morning Shift

About the Role:

We are looking for a seasoned Java Developer with 6+ years of experience to join our growing engineering team. The ideal candidate should have strong expertise in Java, Spring Boot, Microservices, and cloud-based deployment using AWS or DevOps tools. This is a hybrid role based out of our Whitefield, Bangalore location.

Key Responsibilities:

• Participate in agile development processes and scrum ceremonies.
• Translate business requirements into scalable and maintainable technical solutions.
• Design and develop applications using Java, Spring Boot, and Microservices architecture.
• Ensure robust and reliable code through full-scale unit testing and TDD/BDD practices.
• Contribute to CI/CD pipeline setup and cloud deployments.
• Work independently and as an individual contributor on complex features.
• Troubleshoot production issues and optimize application performance.

Mandatory Skills:

• Strong Core Java and Spring Boot expertise.
• Proficiency in AWS or DevOps (Docker & Kubernetes).
• Experience with relational and/or non-relational databases (SQL, NoSQL).
• Sound understanding of Microservices architecture and RESTful APIs.
• Containerization experience using Docker and orchestration via Kubernetes.
• Familiarity with Linux-based development environments.
• Exposure to modern SDLC tools – Maven, Git, Jenkins, etc.
• Good understanding of CI/CD pipelines and cloud-based deployment.

Soft Skills:

• Self-driven, proactive, and an individual contributor.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal abilities.
• Able to plan, prioritize, and manage tasks independently.

Nice-to-Have Skills:

• Exposure to frontend technologies like Angular, JavaScript, HTML5, and CSS.

• Experience in development C# .net mvc
• Experience in Entity Framework, Linq
• Experience in Scripting (JavaScript, Jquery)
• Experience in MS SQL with Stored Procedures
• Good understanding on the SDLC
• Experience in Agile Methodology  
• Good communication

Job Brief:

- Proficient in object-oriented programming and distributed systems

- Some experience with Web Programming and TypeScript

- Ability to speak and write in English fluently

- A proactive approach to spotting problems, areas for improvement, and performance bottlenecks

- Experience with TypeScript and NodeJS

- Experience with the language server protocol

- Experience with JavaScript

- Experience with the Pub-Sub pattern

• Working knowledge of Node-Sync, callback hell and ways to control asynchronous behavior of Node functions.
• Strong command on ES6(EcmaScript) or Javascript and its concepts like prototypes, call back, closures etc
• Should have deep understanding of Native Node.js, Express.js, HAPI.js and middlewares.
• Candidates must have proper understanding and command on RESTful API development and consumptions.
• Candidates must know to use promises, async-await to control synchronization of business logic components.
• Candidates must have knowledge of JWT, oAuth and passport.js for user authentication.
• Candidates must have knowledge of GIT, Bit-bucket.
• Candidates must have knowledge of application deployment.
• Experience with NoSQL databases eg mongodb (preferred).