Credit Underwriter

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)

We are looking for an experienced IOS developer with a track record of developing Mobile applications, user-friendly and high-performing applications.

Experience:
2-3 years of experience in iOS Development

Job Location:
Lucknow

Skills Required:
Programming Languages: Swift ,Objective C, Cocoa, XML, JSON
Operating Systems/Development Platforms: MAC, iOS all versions

Roles and Responsibilities :

• Experience in various aspects of the Agile SDLC including application development
  (application structure, operating system APIs, debugging, performance, security) and
  deployment.
• Experience with rest APIs, offline storage, and threading.
• Strong experience in memory management, performance tuning, and resource
  optimizations.
• Experience in working with Test-driven development (TDD).
• Experience in Unit Testing and UI testing.
• Programming iOS native mobile applications from specifications.
• Scope, analyze, design, test, debug and implement complex iOS mobile applications.
• Cutting-edge native mobile application prototyping and development on iPhone/iPad.

Desired Candidate Profile

• 2+ years of experience in mobile application design and development.
• 2+ years of experience with iPhone development platforms experience developing native ios apps: swift, ios SDK, and Xcode.
• Experience integrating with third-party libraries, Restful API, and JSON.
• Deep familiarity with objective-c and cocoa touch experience working with ios frameworks such as core data, core animation, core graphics, and core text working knowledge of the general mobile landscape, architectures, trends, and emerging technologies experience integrating with WebSocket,  VOIP, call kit.
• Must be self-motivated, possess strong communication skills, and be able to work in a team-oriented environment

Hashtag Labs is looking for MERN stack developer who is an expert in MongoDB, Express, React and Node. He/she should be proficient in JavaScript and use HTML, CSS and JavaScript to handle front-end operations and JavaScript with Node.js to handle back-end operations.

Roles and Responsibilities:-

• Ability to translate Wireframes into functional web apps.
• Binding of UI elements to JavaScript object models
• Creating RESTful services with Node.js
• MERN stack developer must have proven experience in front & back-end development
• Work in a cross-functional team to deliver a complete user experience
• React.JS NodeJS developer must know MongoDB, Express, Node.js, & React.
• Create Unit and Integration tests to ensure the quality of code
• Be responsive to change requests and feature requests
• Write code that is cross-platform and cross-device compatible
• MERN full stack developer must have the ability to wear many hats and learn new technologies quickly
• For MERN stack developer job, candidate must have good Knowledge of Node Debugging
• Understanding & proficiency in REST APIs.
• MERN stack developers should know Git Repository and Jira.
• Integration of data storage solutions [RDBMS, NoSQL DB]

Experience: 2+ years

Job Location: Lucknow, Uttar Pradesh

RESPONSIBILITIES:

Campaign Management:

• Develop strategies and oversee the implementation of growth marketing campaigns, including focus  content marketing, SEO, SEM, social media marketing, and paid advertising 
• Understand user journey from first interaction to final conversion and create campaign targeting groups and strategies based on that. 
• Conduct secondary research on  latest and emerging trends and use cases in adtech (business model changes, applications, tools, platforms)
• Create, track and optimize campaigns across various digital marketing platforms
• Create Hypothesis and rapidly experiment against those hypothesis to consolidate the learnings and apply back to campaigns 
• Drive performance across the User Acquisition funnel by optimizing for metrics such as ROAS, CAC, LTV 
• Conduct periodic cohort analysis to measure users acquisitions and retention
• Report on campaign performance and improvements
• Develop partnerships with platforms, publishers, intermediaries, affiliate to unlock growth

Client Servicing:

• Be the SPOC for the client requirements. Proactively lead client discussions 
• Understand client’s marketing objectives and translate to campaigns on different Digital Advertising platforms 
• Updating clients and internal teams on a regular basis about the performance of the campaigns.

• MBA from Tier 1 Business School 
• Minimum of 2 years of experience in the same industry 
• Experience in running app install campaigns, including tracking In-App purchases across multiple channels 
• Experience working with mobile attribution/integration platforms such as AppsFlyer, Singular, Branch, Facebook Analytics, Firebase Analytics and Messaging
• Solid expertise in campaign and channel analysis and reporting, including Google Analytics experience. 
• Experience of Digital ad platforms like Google, Facebook, Programmatic 
• Experience driving growth in user acquisition, user retention campaigns

Industry Type: IT Software

Experience:2-5 yrs (IT Software Products Sales)

Job Type: Full Time

Offered Salary: Upto 9 LPA

Qualification: BE/B.tech/MBA

Candidates with smart presentation skills and go-getter approach (both freshers and experienced) can apply for the Sr. BDA position

Job description

Roles and Responsibilities

• Developing new clients for Company’s Cloud/ Saas based software products and services.
• Responsible for end-to-end sales cycle, right from lead generation to deal closure with BANT Approach
• Effectively communicate with prospects to convey the promising brand image and product USP via cold call, email marketing, LinkedIn or phone to establish rapport and set up meetings
• Organizing Online & Offline demo to the potential clients
• Research on the prospective clients in the target market, pursue leads and follow up.
• Prepare RFP, RFQ, Estimations, Negotiations with prospects
• Plan and oversee new sales & marketing initiatives
• Manage and update company database and customer relationship management systems (CRM)
• Work collaboratively with Sale, marketing, and other internal team to validate targeting strategy.
• Depending on business requirements, BDM may be required to travel across country for developing the existing or newer opportunities.

Desired Candidate Profile

Qualification: MBA/BE or Equivalent

Experience of Marketing Management and outbound B2B sales, coupled with MBA (Sales & Marketing) qualification and a track record of success in ERP /Software Solution Sales

• Candidates should be able to build relationship with corporate customers, understand the technical requirement of customer
• Team oriented person should possess excellent verbal & written communication and presentation skills and an expert in understanding the customer requirement.
• Must be able to achieve overall sales target & servicing clients with the objective of increasing the market share of the company.
• Willing to travel extensively all over India.
• Candidate should have an excellent track record of achieving deadlines on time and ability to meet and exceed revenue targets.

Preferred

• ERP, CRM and Cloud Experience and Internet Promotions and Sales.
• Area of Expertise :- Customer Development, Public Relation, Customer Service, Lead Generation

• 2 - 3 Years of experience is required in Java Development.
• Framework - Spring MVC, Spring Boot.
• Good Knowledge in Core Java, OOPS principles is required.
• Web Technologies - HTML, CSS, Javascript.

Skills:

• Strong working knowledge of AWS.
• Implements AWS cloud platform.
• Infrastructure as Code, GitLab CI/CD, and DevOps standard methodologies
• scripting in Shell, Python, Ruby or any preferred scripting language

Terraform expertise is a MUST for this role.

a short exercise on terraform to all shortlisted candidates to demonstrate their hands-on skills on terraform before rolling out the offer

Desired Profile

 Providing expertise on all matters related to CI, CD and DevOps.

 Building and maintaining highly available production systems.

 Developing and maintaining release related documents, such as release plan, release notes etc.

 Ensuring quality releases and managing release and configuration change conflicts to resolution.

 Tracking release and publishing release notes.  Investigating and resolving technical issues by deploying updates/ fixes.

 Onboard applications to DevOps process.

 Setup and configure build jobs.

 Create automated deployment scripts.

 Configure JIRA workflow, and integrate with Jenkins / Micro-services.

Qualification

 Degree/Diploma in Computer Science, Engineering or related field and have previous experience as a DevOps Engineer.

 AWS Certification will be a plus.

 Experience of automation and provisioning approaches, using tools such as Terraform & Cloud Formation

Skillset Required

 Solid experience within release management, infra architecture, CI&CD.

 Highly goal driven and work well in fast paced environments.

 Proven experience of using Jenkins, Unix Shell Commands, Container technology (Docker, Kubernetes),

Java Programming, Groovy Script, Git, Code Branching Strategy, Maven, Gradle, JIRA, ECS, OpenShift.