.Net Technical lead

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)

Job Title: Software Developer (Contractor)

Location: Remote, Up to 1-year contract

Compensation: Hourly

About Us: CipherSonic Labs is a cutting-edge technology company specializing in data security and privacy solutions for enterprises processing sensitive data in the cloud. We develop high-performance cryptographic software and hardware acceleration techniques to enable secure computing. Our team is looking for talented individuals to contribute to innovative projects in secure computing and high-performance software development.

Job Description: We are seeking a Software Developer to assist in the development of high-performance software solutions. This role will involve working on low-level programming, optimizing cryptographic algorithms, and improving performance for security-critical applications. The ideal candidate will have a passion for systems programming, algorithm optimization, and working in a high-performance computing environment.

Key Responsibilities:

·     Develop and optimize software using C/C++ for high-performance computing applications.

·     Work on cryptographic algorithm implementations and performance tuning.

·     Optimize memory management, threading, and parallel computing techniques.

·     Debug, profile, and test software for performance and reliability.

·     Write clean, efficient, and well-documented code.

Qualifications:

·     Completed a B.S. or higher degree in Computer Science, Computer Engineering.

·     Strong programming skills in C and C++.

·     Familiarity with Linux-based development environments.

·     Basic understanding of cryptographic algorithms and security principles is a plus.

·     Experience with AWS Lambda, EC2, S3, DynamoDB, API Gateway, Containerization (like Docker, Kubernetes) is a plus.

·     Knowledge of other programming languages such as Python, Rust, or Go is a plus.

·     Strong problem-solving skills and attention to detail.

·     Ability to work independently and collaboratively in a fast-paced startup environment.

What You’ll Gain:

·     Hands-on experience in systems programming, cryptography, and high-performance computing.

·     Opportunities to work on real-world security and privacy-focused projects.

·     Mentorship from experienced software engineers and researchers.

·     Exposure to cutting-edge cryptographic acceleration and secure computing techniques.

·     Potential for future full-time employment based on performance.

Job Description

Build and maintain bots on Azure platform.  Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

1. a) 5 years of experience in software development with clear understanding of the project life cycle
   b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
   c) Hands on experience with Machine Learning based chat bots
   d) Experience with Azure bot services like Text Analytics etc.
   e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.
5. l) Ability to adapt quickly to an existing, complex environment.

* B.E. , B.Tech ,MCA or other equivalent engineering degree

* Total Exp: 1-4 years

* Minimum 2 year relevant experience in .Net or .Net core server-side programming as last

working relevant experience.

* Basic Engineering Knowledge – OOPS , Data Structure , memory management etc..

* Hands on experience in .Net, WCF (optional) and windows concept

* Hands on experience in SQL – basic are must to have

* Requirement analysis and design principle understanding is required

* Good in unit testing and debugging concepts

* Should be good in communication.

We are looking for an ASP.NET MVC developer that will be able to develop and support existing applications. The main scope of work will include everything from back-end to client-side code, using optimal and efficient technologies, frameworks, and patterns. Your primary responsibilities will be to design and develop these applications. Therefore, it’s essential that you are skilled at problem solving, solution design, and high-quality coding.

SKILLS:

Must have:

1) Good command over any programming (C#, JavaScript)

2) Willingness to learn new programming languages as per need.

3) Strong experience in implementing design patterns.

Good to have:

1) Hands on experience working on Dockers.

2) Experience on CI/CD Pipeline with Azure devops.

ROLES AND RESPONSIBILITES:

1) Delivering a high-quality application

2) Integrating with front-end developers

3) Ensuring a required level of performance

4) Writing test-backed server-side code

5) Analyzing requirements and designing new functionality

6) Supporting and fixing existing functionality

7) Selecting and using the most appropriate and efficient technologies for a particular application

8) Designing and building application layers

Primary Skill Set :

1) Proficiency in C#

2) Experience using .NET ( 4.5+ | Core )

3) Experience in developing ( ASP.NET MVC | ASP.NET Core MVC ) applications

4) Senior knowledge of ( Entity Framework 6.* | EF Core | NHibernate | ADO.NET )

5) Proficient knowledge in ( MSSQL )

6) Database design including indexes and data integrity

7) Dependency injection pattern and IoC containers using at least one of: Autofac, SimpleInjector

8) Writing tests with ( NUnit | XUnit )

9) Implementing enterprise application patterns

10)Understanding of HTML, JS, and CSS

11)Familiarity with the client side framework ( jQuery | Angular 2.*+ )

12)Familiarity with ( Azure Cloud Services )

13)Familiarity with ( Microservices | Dockers )\

14)Experience in developing of Web API and RESTful web services