Senior Python 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)

Roles & Responsibilities:

• In-depth knowledge and hands on experience on IBM FileNet (CPE) and Java/J2EE is mandatory.

• Good understanding of React JS, JavaScript, jQuery, Bootstrap, and front-end languages.

• Understand Project and detailed Scope and seek clarifications where necessary.

• Design, develop, and unit test applications / products.

• Analyze the impact due to changes in code.

• Design algorithms and flowcharts.

• Produce clean, efficient, and re-usable codes based on specifications.

• Run and automate tests to find any errors or bugs.

• Verify and deploy programs and systems.

• Configure, code and test enhancements and modifications to new and existing IBM FileNet applications.

• Proficiency in development and integration with SOAP Webservices, RESTful APIs and Microservices.

• Active Involvement in Development of Utility Job and Batch process associated with FileNet Application is a must.

• Knowledge of WebSphere Application Server, Deploying IBM FileNet, and Java/J2EE Application from lower to higher environments is essential.

• Troubleshoot issues and help define solutions to these issues.

• Displays a strong work ethic and sense of urgency.

• Part of the FileNet Development Team Engaged in active problem solving to identify technical roadblocks and implement solutions that can improve the direction of our application product.

• Key learner and timely update self-skill sets.

• Familiar with the use of code versioning tools such as Bit bucket, GIT or SVN.

• Basic Understanding of S3 Storage, IBM DB2, JIRA tool and Confluence (team workspace) will be an advantage. Education

Role Overview:

We are seeking skilled Backend Developers to design, build, and maintain efficient, scalable, and secure server-side logic and services. The ideal candidate will have strong expertise in Python, Flask, and Google Cloud Platform (GCP), with experience building APIs, handling databases, and integrating cloud services in production environments.

Required Experience: 4+ Years

Location: Chennai, Open for remote for strong candidates

Key Responsibilities:

• Collaborate with project teams to understand business requirements and develop efficient, high-quality code.
• Design and implement low-latency, high-availability, and performant applications using frameworks such as Flask, or FastAPI.
• Integrate multiple data sources and databases into a unified system while ensuring seamless data storage and third-party library/package integration.
• Create scalable and optimized database schemas to support complex business logic and manage large volumes of data.
• Conduct thorough testing using pytest and unittest, debugging applications to ensure they run smoothly.

Required Skills & Qualifications:

• 3+ years of experience as a Python developer with strong communication skills.
• Bachelor's degree in Computer Science, Software Engineering or a related field.
• In-depth knowledge of Python frameworks such as Flask, or FastAPI.
• Strong expertise in cloud technologies, GCP preferred.
• Deep understanding of microservices architecture, multi-tenant architecture, and best practices in Python development.
• Familiarity with serverless architecture and frameworks like GCP Cloud Functions.
• Experience with deployment using Docker, Nginx, Gunicorn.
• Hands-on experience with SQL and NoSQL databases such as MySQL and Firebase.
• Proficiency with Object Relational Mappers (ORMs) like SQLAlchemy.
• Demonstrated ability to handle multiple API integrations and write modular, reusable code.
• Strong knowledge of user authentication and authorization mechanisms across multiple systems and environments.
• Familiarity with scalable application design principles and event-driven programming in Python.
• Solid experience in unit testing, debugging, and code optimization.
• Hands-on experience with modern software development methodologies, including Agile and Scrum.
• Experience with CI/CD pipelines and automation tools like Jenkins, GitLab CI, or CircleCI.
• Experience with version control system.

Driving Results:

• A good single contributor and a good team player.
• Flexible attitude towards work, as per the needs.
• Proactively identify & communicate issues and risks.

Other Personal Characteristics:

• Dynamic, engaging, self-reliant developer 
• Ability to deal with ambiguity
• Manage a collaborative and analytical approach
• Self-confident and humble
• Open to continuous learning 
• Intelligent, rigorous thinker who can operate successfully amongst bright people

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Designation: Magento Developer / Sr. Magento Developer

Experience: 3+yrs

Location: Anywhere in India ( WFH for now for next 8-10months)

No. of Positions: 2

Notice Period: Immediate / Less than 30days (Do not share which is above this notice period)

Job Description:

Magento Developers with 3+ years of experience

1) Should have hands-on experience in Magento module/extension development

2) Should be able to quickly understand existing custom modules in Magento and customize and manage it further.

3) Hands-on experience in developing and consuming API/REST calls both inbound and outbound within Magento

4) Should know how to develop WebService/API/REST calls as per Magento architecture, coding standard

5) Troubleshooting integration issues from API/REST calls.

6) Excellent knowledge of PHP, JavaScript, HTML5, and CSS.

7) Good working experience on MySQL, developing complex SQL queries, design tables/database for complex business models

8) Knowledge of MVC, OOPs, Design Patterns – especially the design patterns used in Magento

9) Knowledge of Magento theming / UI components is preferred.

10) Hands-on experience with Magento 2 Porto Theming

11) Knowledge of deployment process in Cloud, especially for Magento

12) Should be competent and confident to speak up in team meetings, discussions, war rooms

13) Good command of English language

14) Should be able to work under minimal supervision

15) Should be able to coordinate with other teams and collectively solve issues.

16) Should be able to work independently as well as team

17) Candidate should have prior work experience in Magento Enterprise.

Role- Software Development Engineer-2

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

• You write high quality, maintainable, and robust code, often in Java or C++ or C#
• You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
• Roles & Responsibilities
• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.

About Amazon.com

“Many of the problems we face have no textbook solution, and so we-happily-invent new ones.” – Jeff Bezos

Amazon.com – a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.

Technological innovation drives the growth of Amazon, offering our customers more selection, convenient shopping, and low prices. Amazon Web Services provides developers and small to large businesses access to the horizontally scalable state of the art cloud infrastructure like S3, EC2, AMI, CloudFront and SimpleDB, that powers Amazon.com. Developers can build any type of business on Amazon Web Services and scale their application with growing business needs.

We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.

About Amazon India

Amazon teams in India work on complex business challenges to innovate and create efficient solutions that enable various Amazon businesses, including Amazon websites across the world as well as support Payments, Transportation, and Digital products and services like the Kindle family of tablets, e-readers and the store. We are proud to have some of the finest talent and strong leaders with proven experience working to make Amazon the Earth’s most customer-centric company.

We made our foray into the Indian market with the launch of Junglee.com, enabling retailers in India to advertise their products to millions of Indian shoppers and drive targeted traffic to their stores. In June 2013, we launched http://www.amazon.in">www.amazon.in for shoppers in India. With http://www.amazon.in">www.amazon.in, we endeavor to give customers more of what they want – low prices, vast selection, fast and reliable delivery, and a trusted and convenient online shopping experience. In just over a year of launching our India operations, we have expanded our offering to over 18 million products across 36 departments and 100s of categories! Our philosophy of working backwards from the customers is what drives our growth and success.

We will continue to strive to become a trusted and meaningful sales and logistics channel for retailers of all sizes across India and a fast, reliable and convenient online shopping destination for consumers. For us, it is always “Day 1” and we are committed to aggressively invest over the long-term and relentlessly focus on raising the bar for customer experience in India.

Amazon India offers opportunities where you can dive right in, work with smart people on challenging problems and make an impact that contributes to the lives of millions. Join us so you can - Work Hard, Have Fun and Make History.

1. 1.5+ Years of experience in .Net, ASP.Net and C#, WCF/API and REST services.
2. Should be able to write clean and good scalable code.
3. Hands on experience with CSS, JavaScript and jQuery
4. Strong knowledge in OOPS concepts.
5. Knowledge of T SQL with SQL server 2008 R2/2012 including Stored Procedures, Triggers & User Defined Functions.
6. Good to have CSS3 and HTML5 knowledge.
7. Good analytical and communication skills are required.
8. Preference will be given to the candidates who can do client interaction.

Responsibilities

· Excellent knowledge of Core Java and Spring

· Candidate should have a working knowledge of web services

· Should have worked in the distributed agile model and continuous integration

· Should have knowledge of designing and implementation of REST Web services

· Strong experience with REST API and web services

· Should be efficient with Java J2EE and related technologies.

Essential Requirements

· Strong Core Java and spring.

· Strong RESTFUL web service experience

· Strong SQL (preferably Oracle), JQuery, HTML/CSS, Oracle Restful, SOAP web services

· B. Tech/M. Tech from Tier-1 colleges like IIT, NIT, VIT, BIT

Primary Skill: Java, spring & RESTFUL Web services,