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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 Techjays
At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.
About the Role
This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.
What You'll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement RAG pipelines, AI agents, and LLM integrations
- Own systems end-to-end — from architecture to deployment and scaling
- Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
- Build high-performance distributed systems with observability and cost efficiency
- Lead backend and AI initiatives with strong technical ownership
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to deliver AI-native solutions
What We're Looking For
- 6–10 years of strong backend engineering experience
- Hands-on expertise in Python (FastAPI / Django / Flask)
- Deep understanding of Generative AI and LLM-based systems
- Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
- Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
- Proficiency in AWS or GCP in production environments
- Experience with distributed systems, microservices, and system design
- Strong grasp of Data Structures, Algorithms, and Design Patterns
- Familiarity with WebSockets, Git, Linux/Unix, and CI/CD
Nice to Have
- Experience with Anthropic Claude API and Claude Code
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- MLOps and AI system lifecycle experience
- Optimizing AI systems for latency, cost, and scalability
Who You Are
- You think in systems, not just features
- You take full ownership of what you build
- You are comfortable navigating fast-moving, ambiguous environments
- You stay updated with the latest in Generative AI and backend technologies
- Strong communicator who can collaborate across teams and global clients
What We Offer
- Competitive compensation (Best in Industry)
- Work on production-grade AI systems used by global clients
- Exposure to cutting-edge AI tools and frameworks
- A culture that values clarity, integrity, and continuous growth
Job Title: Backend Developer (Full Time)
Location: Remote
Interview: Virtual Interview
Experience Required: 3+ Years
Backend / API Development (About the Role)
- Strong proficiency in Python (FastAPI) or Node.js (Express) (Python preferred).
- Proven experience in designing, developing, and integrating APIs for production-grade applications.
- Hands-on experience deploying to serverless platforms such as Cloudflare Workers, Firebase Functions, or Google Cloud Functions.
- Solid understanding of Google Cloud backend services (Cloud Run, Cloud Functions, Secret Manager, IAM roles).
- Expertise in API key and secrets management, ensuring compliance with security best practices.
- Skilled in secure API development, including HTTPS, authentication/authorization, input validation, and rate limiting.
- Track record of delivering scalable, high-quality backend systems through impactful projects in production environments.
Job description :
Back-End Developer (B2B SaaS)
Location : Kashmere Gate, Delhi (Hybrid)
NP : Immediate Joiner
Experience : 2.5years to 4years
About Us :
Eazybe is transforming workplace communication by creating innovative tools on top of popular messaging platforms like WhatsApp, phone calls, and more. As we expand our reach into international markets, we're looking for dynamic sales professionals to join our team!
Key Responsibilities :
Backend Development: Write clean, maintainable, and efficient code for server-side applications.
API Design & Integration: Build and maintain RESTful or GraphQL APIs to support various front-end and mobile applications.
Database Management: Design, implement, and maintain robust databases, ensuring data integrity and security.
Performance Optimization: Optimize applications for maximum speed and scalability.
Collaboration: Work closely with front-end developers, product managers, and other team members to ensure seamless integration of functionalities.
Debugging & Troubleshooting: Identify and fix bugs, bottlenecks, and system issues.
Security: Implement best practices for securing backend systems and data.
Documentation: Prepare technical documentation and reports for system and code processes.
Qualifications :
- Proficient in solving Data Structures and Algorithms (DSA) problems.
- Demonstrated experience with platforms like LeetCode or similar competitive programming environments.
- Strong aptitude and problem-solving skills, with the ability to think critically and approach challenges creatively.
- A sharp analytical mindset with a proven ability to learn and adapt quickly.
- Proficiency in server-side programming languages such as Python, Node.js, Ruby, Java, PHP, or others.
- Experience with frameworks like Django, Express, Flask, Spring Boot, etc.
- Strong understanding of databases (SQL and NoSQL), such as MySQL, PostgreSQL, MongoDB, Redis, etc.
- Familiarity with API standards and development (REST, GraphQL).
- Knowledge of cloud platforms like AWS, Azure, Google Cloud, or others.
- Experience with version control tools like Git.
What We Offer :
- 12 days of Paid Time Off (PTO) annually
- 10 days of Working From Anywhere (WFA) annually
- Hybrid Work Model: 4 days in-office and 2 days from home
Convenient Office Location : Just a 7-minute walk from Kashmiri Gate Metro
- Candidates who meet the criteria will undergo 2 to 3 interviews and a possible paid work trial focusing on analytical and technical skills.
- If you're passionate about backend development and eager to work in a fast-paced, innovative environment, we want to hear from you.
Must have exp in Django. [ Mandatory]
- The ability to problem-solve and critically think.
- High level of knowledge of Python and the Django framework.
- Familiarity with event driven programming as well as the MVC.
- Good understanding of SQL databases.
- Good understanding of REST APIs.
Hello,
Greetings from CodersBrain!
Coders Brain is a global leader in its services, digital, and business solutions that partners with its clients to simplify, strengthen, and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise, and a global network of innovation and delivery centers.
This is regarding the urgent opening for the'' ROR Developer role. We found your profile in the Cutshort database and it seems like a good fit for the organization. If you are interested, do revert back with your updated CV along with the details:
Permanent Payroll : CodersBrain
Location:- Mumbai/ Kolkata
Notice Period:- imm./15 daysJob Description
Scope of work This role is an exciting opportunity to build highly interactive
customer facing applications and products.
Candidate will help transform vast collections of data into
actionable insights with intuitive and easy to use interfaces and
visualizations.
Candidate will leverage the power of JavaScript and Ruby on
Rail to build novel features and improvements to our current suite
of tools.
This team is responsible for customer-facing applications that
deliver SEO data insights.
Through the applications customers are able to access insights,
workflows, and aggregations of information above and beyond
core data offerings
Responsibility
Build and maintain the core frontend application
Work collaboratively with the engineers on the Frontend team to
ensure quality and performance of the systems through code
reviews, documentation, analysis and employing engineering
best practices to ensure high-quality software
Contribute to org devops culture by maintaining our systems,
including creating documentation, run books, monitoring, alerting,
and integration tests, etc.
Participate in architecture design and development for new
features and capabilities, and for migration of legacy systems, to
meet business and customer needs.
Take turns in the on-call rotation, handling systems and
operations issues as they arise including responding to off-hours
alerts
Collaborate with other teams on dependent work and integrations
as well as be vigilant for activities happening outside the team
that would have an impact on the work your team is doing.
Work with Product Managers and UX Designers to deliver new
features and capabilities
Use good security practices to protect code and systems
Pitch in where needed during major efforts or when critical issues
arise
Give constructive, critical feedback to other team members
through pull requests, design reviews, and other methods
Seek out opportunities and work to grow skills and expertise.
C) Skills Required
Essential Skills JavaScript (preferred ExtJS framework)
Ruby
Ruby on Rails
MySQL
Docker
Desired Skills Terraform
Basic Unix/Linux administration
Redis
Resque
TravisCI
AWS ECS
AWS RDS
AWS EMR
AWS S3
AWS Step Functions
AWS Lambda Functions
Experience working remotely with a distributed team
Great problem-solving skills
D) Other Information
Educational Qualifications Bachelor's degree/MCA
Experience 5– 8 years
Please confirm the mail with your updated CV if you are interested in this position and also please share the below-mentioned details :
Current CTC:
Expected CTC:
Current Company:
Notice Period:
Notice Period:Are you okay with 1 week Notice period if not then comfortable as freelancing work with us till joining:-
Current Location:
Preferred Location:
Total-experience:
Relevant experience:
Highest qualification:
DOJ(If Offer in Hand from Other company):
offer in hand:
Alternate number:
Interview Availability
Ventura Securities is establishing its fintech team - a remote-first, work from anywhere team with highly talented individuals who come from diverse backgrounds and looking to solve real client problems at scale. Ventura has been in the stockbroking business for 20+ years and it is a robust and profitable franchise with 1000+ employees currently. We are looking for passionate techies with skills primarily around AWS and Python who are aspiring for a fast-track career.
Your Key Responsibilities:
1. Build out of the Ventura cloud-based backend platform from scratch
2. Ownership and monitoring of our D2C backend
3. Robust documentation skills and desire to share information with others
4. Desire and ability to prototype ideas quickly, and be willing to experiment and learn
Basic Requirements:
· Very strong python, lambda, sql, general aws
· Clean coding skills around Python or Go and SQL
· Demonstratable experience around writing testable code, working with git, doing peer-level code review, daily standups, and generally championing software excellence
· What you get:
1. Chance to build out a next-gen fintech product from ground 0
2. Opportunity to influence the design of the product
3. Flexible and work anywhere environment running out of Slack
Flat org structure
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Technical Skills |
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Work Description |
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Responsibilities
Design Develop and maintain web functionalities
Work with Tech Lead to propose a technical solution
Liaise with designer to implement the UI/UX elements for web and mobile interfaces
Troubleshoot production problems and provide user support.
Design and conduct tests:
- Integrate multiple systems from different vendors with seamless data flow
- Investigate new technologies and continue to update your technical skills
- Write well-structured and testable code following the set guidelines
Requirements
Degree in IT or equivalent
More than 3 years of web-based application development experience in PHP.
Strong knowledge of PHP web frameworks: CodeIgniter, Laravel, Bootstrap, AngularJs, Angular Material, Symphony, Zend, Cake and Flask.
Languages
PHP, JavaScript, HTML, CSS, Python.
Databases: MySql
Operating Systems: Ubuntu, Windows and Macintosh.
Others: jQuery, AJAX, JSON, Celery, Git, API, AWS, Facebook API, Twitter API, Google API,PayPal Integration, nginx, Apache,AmCharts, Mpdf and PhantomJs.
Mandatory:
Strong knowledge in Continuous Integration/Continuous Delivery tools, e.g. Jenkins
Strong knowledge in planning for testing strategy, test suites and test cases.
Proficient understanding of code versioning tools (e.g. Git)
Understands web trends, including social media integration and the impact of the growth of mobile/tablet browsing
More than 3 years of web service (REST, SOAP) and API development and management
Strong Knowledge of security standards and techniques for web applications
Strong technical knowledge in software development methodologies, design patterns and implementation
Proven ability to carry a feature from start to finish, including prototypes, design specifications, constructive coding, unit testing and problem resolution
Preferred
Strong in SQL & PL/SQL and have good working knowledge on the relational database(s) (MySQL)
Experience With Selenium Web, Appium, Endtest.io Automated Regression Tools
Advantage
Experience with other server-side stacks (Node.js, Python, Java etc.) a plus
Experience developing native or hybrid mobile applications for IOS and/or Android a plus
Experience in the development and production of standards-based websites using HTML/5, CSS/3, JavaScript, jQuery, AJAX, JSON across multiple browsers a plus












