Video Editor Intern

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 and Responsibilities:-

1. Developing, generating, and growing new digital marketing business

2. Creating innovative online marketing sales plans

3. Exhibiting expertise in digital marketing solutions

4. Selling services like SEO, SEM, PPC, social media, online reputation management, etc. (for the

US and Canada locations)

5. Maintaining accurate and up-to-date pipeline and forecasts

Desired Candidate Profile:-

1. The position demands an entrepreneurial-minded individual with high energy and a strong motivation to sell (we like increasing numbers)

2. A strong candidate will have excellent sales and closing skills

3. Strong organizational skills and ability to handle multiple tasks and priorities

4. Demonstrated time management skills

5. Knowledge of digital marketing/SEO services will be a plus

6. Excellent communication skills

Company: IDFC

About the company:  IDFC Limited was set up in 1997 to finance infrastructure projects in India. With time, the company diversified into asset management, institutional broking and investment banking. In 2014, the Reserve Bank of India granted in-principal approval to IDFC Limited to set up a new bank in the private sector

Job Description - The role entails the responsibility of providing production support to bank's software applications. It includes administering and resolving day to day production applications issues, providing updates and perform root cause analysis

Position:  Production Support

Location: Mumbai

Minimum Qualification:  Bachelor of Technology (B.Tech) / Bachelor of Science (B.Sc) / Master of Science (M.Sc) /Master of Technology (M.Tech) / Bachelor of Computer Applications (BCA) / Master of Computer Applications (MCA)

Experience:  2 to 5 years of experience in production support and 1 year of relevant experience in CMS/BXP application

CTC:  12 LPA

Employment Type:  Full Time

Key Responsibilities:

• Hands on Experience Banking Production Support. Good to have knowledge of Intellect Payment, Collection, BXP, Integrator, Liquidity etc.
• System understanding and hands on experience on Application Support
• Perform all tests on production applications
• Design production support procedures, policies and documentation.
• Prepare recovery procedures for all applications and provide upgrade to same.
• Identify and resolve technical issues.
• Establish the root causes of production errors and escalate serious concerns
• Coordinate with IT groups and external vendors and ensure effective production application services to ensure reliability
• Manage code migration across environments to ensure continued and synchronized functionality
• Gather information independently, carry out necessary research and provide an in-depth analysis to resolve production issues
• Supervise all alerts related to production application and system procedures and provide services proactively 
• Prepare and coordinate communications to senior management. 
• Deliver regular and customized training to teams within the business. 
• Develop test scripts for new/changed production application capabilities. 
• Capture and share best- practice knowledge amongst the team
• Stay abreast with global market trends and competitor strategies in key markets
• Leverage in-house synergies through collaboration with internal stakeholders
• Checking the BMC tool to check the tickets and update the status of the tickets accordingly
• Maintaining the SLA, do the critical analysis of application. 

Skills and qualification:

• Technical Skill Set: Java, Spring boot, API/Microservice
• Basic Understanding of React, Angular, any UI framework , SQL
•  knowledge of database , Log tracing application like Grafana, Jaeger, Kibana, etc ,
• Deployment pipeline like Jenkins, GoCD, GitLab, etc ,
• Good to have Docker, Kubernetes, Git  
• Fair Knowledge on Oracle Database, SQL, PL/SQL, Java, Web Server, App Server, Linux, Windows Server  

• Strong Experience in Java and related frameworks such as EJB, Spring and Spring Boot
• Strong Experience in REST API based Microservices development & integration that includes long running orchestration services
• Experience implementing services with modern authentication using OAuth 2.0, SAML, JWT
• Implementation Experience in RDBMS (DB2/PostgreSQL) and good SQL query knowledge
• Strong CI/CD experience with GitHub CI/CD or Jenkins or Maven
• Creating custom, general use modules and components which extend the elements and modules of core

ROR :: JD

Immediate Joiner

• Having experience on Ruby on Rails.
• Strong SQL skills with MySQL or PostgreSQL
• Knowledge on MongoDB an advantage.
• Experience with TDD (test driven development) or RSpec.
• Having experience on REST/API.
• JRuby experience is an advantage
• Knowledge on Exilir and functional programming a plus and JRuby is an advantage.
• Experience using Git productively in a team environment.
• Experience into Amazon web services
• Knowledge on Jenkins is an advantage.
• Knowledge on Docker.
• Excellent analytical and problem-solving skills

Following are the things that we are looking for in our NodeJS developer:

• Full SDLC knowledge, preferably in an agile environment.
• Strong written and verbal communication skills. Strong critical thinking & problem solving skills.
• Understanding of Unix / Linux based systems.
• Hands-on exposure to deeply linked relational databases – preferably in MySQL
• Ability to take a feature or product through the full Software Development Life Cycle.
• Strong communication skills, including the ability to both collaborate well and also the ability to convey technical ideas and concepts to non-technical stakeholders.
• Identify the interaction needs and how the API. must be developed based on design comps, product specs, etc.
• Continuously evaluate and implement new technologies to maximize development efficiency.
• Address and prioritize production level bugs and application performance improvements.
• An adaptable attitude and understanding of the agile methodology.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Collaborate with cross-functional teams to define, design, and release new features.

About Company:

Headquartered in Houston, Texas, USA, this product-based company is the FinTech leader in B2B Industry’s (AI) Artificial Intelligence-powered Software suite of products in the Order-to-Cash and Treasury Management space.

With close to 2000 plus employees globally, this product-based company preferred choice of leading Fortune 1000 companies, including Adidas, Danone, Starbucks, 3M and Sony, to name a few. 950+ Transformation Projects, 6 continents and 45 countries and many more adding up year on year.

Skills

Experience Range: 3 to 10 Years
Notice Period: Immediate to max 1 month.

Role: Senior Software Engineer – the final role will depend on candidate’s experience and credentials

Education: BE/B. Tech/MCA/M.Sc./MTech

Technology Stack: Java, Struts, Hibernate, Spring, MySQL, ExtJS, Elastic Search, AWS Infra/any cloud

Location: Hyderabad

Please share your profiles only if you can join in 1 month.