SRE Application Support

Location: Noida Sector 02

Working Days: Monday to Friday (5 Days Working)

Working Hours: 9:00 AM – 5:00 PM

Experience Required: Minimum 2+ years full-time experience

Role Overview

We are looking for a dynamic and result-oriented HR Execuitve/Account Manager who can effectively

manage client hiring requirements, coordinate with internal recruitment teams, and ensure smooth HR

operations. The ideal candidate should have strong recruitment expertise, sourcing skills, client

relationship management experience, and the ability to handle multiple responsibilities across recruitment

and HR functions.

Key Responsibilities

Recruitment & Talent Acquisition:

Handle end-to-end recruitment processes for multiple client requirements.

Source, screen, and shortlist quality candidates through various channels such as job portals, LinkedIn,

references, and networking.

Coordinate with recruitment teams to ensure timely delivery of quality candidate profiles.

Maintain strong pipelines for ongoing and future hiring needs.

Schedule interviews, follow up with candidates, and manage offer coordination.

Client & Account Management:

Manage multiple client accounts and maintain strong professional relationships.

Understand client hiring needs and provide suitable talent solutions.

Share relevant, high-quality candidate profiles aligned with client expectations.

Ensure seamless communication between clients, candidates, and internal teams.

Handle client feedback, reporting, and regular hiring updates.

Team Coordination & Leadership:

Coordinate and manage the internal recruitment team to ensure timely closure of client requirements.

Assign roles, monitor team performance, and ensure quality candidate delivery.

Guide recruiters on sourcing strategies, candidate screening, and client expectations.

HR Operations:

Manage employee attendance, leave records, and salary coordination.

Support payroll processing and salary release activities.

Maintain HR documentation and employee records.

Assist in basic HR administrative tasks and compliance processes.

Required Skills & Qualifications:

Minimum 1-2 years of full-time experience in recruitment, HR operations, or account management.

Strong experience in sourcing and recruitment coordination.

Prior experience in handling multiple clients and account management is highly preferred.

Excellent verbal and written communication skills.

Strong interpersonal and stakeholder management abilities.

Ability to work in a fast-paced environment and manage multiple priorities.

Proficiency in MS Office, recruitment tools, and HRMS platforms is an advantage.

MBA in HR or related field will be an added advantage.

Preferred Candidate Profile:

Highly organized and process-driven professional.

Strong negotiation and relationship-building capabilities.

Solution-oriented mindset with excellent coordination skills.

Passionate about recruitment, workforce development, and people management.

Senior MLOps Engineer

LLM Operations, Observability & Eval Infrastructure

📍 Mumbai (On-site) | Full-time | 5-7 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 MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.

This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.

The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.

The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.

A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.

Responsibilities:

Observability and Tracing

Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.

Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).

Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.

Evaluation Infrastructure as a Production System

Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.

Implement regression gates that block quality-degrading changes from shipping.

Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.

Model Lifecycle Management

Pin model versions, never "latest".

Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.

Maintain fallback chains across providers for graceful degradation or queueing during outages.

Track provider deprecation schedules and plan migrations ahead of forced cutoffs.

Cost Operations

Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.

Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.

Monitor prompt cache hit rates and quantify savings.

Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.

Prompt and Configuration Deployment

Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.

Reliability Engineering for Agent Runs

Agent runs are long, stateful, and failure-prone.

Own retry and resume semantics so a run that fails mid-way does not restart from scratch.

Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.

SLO Ownership and Incident Response

Define and track SLOs for agent run latency and completion rates.

Lead incident response when SLOs are breached.

Write postmortems.

Surface reliability risks proactively before they reach users.

Safety and Compliance Operations

Run the moderation pipeline (prompt and output classification) in production.

Monitor for abuse patterns and own incident response when the agent misbehaves at scale.

Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on production ownership of LLM-backed systems in operation (mandatory).

Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.

Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).

POCs and lab work do not qualify.

5+ years of overall engineering experience

With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.

This is not an ML science role.

A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.

Observability and Tracing Depth

Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.

Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.

Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.

CI/CD and Quality Gate Experience

Strong with GitHub Actions or GitLab CI.

Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.

Cost Management and Attribution for Usage-Based Services

Experience owning cost attribution for cloud API spend or equivalent.

Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.

Reliability Engineering for Long-Running, Stateful Workloads

Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.

Comfortable defining SLOs and being accountable for them on production systems.

Multi-Provider API Management

Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.

Infrastructure as Code and Deployment Automation

Hands-on with Terraform or Pulumi and Docker.

AWS working knowledge (EC2, S3, IAM, EKS or ECS).

Strong with CI/CD for deploying services and configuration changes safely.

Nice to Have

• Experience with prompt A/B testing or staged rollout infrastructure
• Workflow orchestration (BullMQ, Temporal, Celery)
• Content moderation pipeline experience
• Data residency and compliance requirements for AI systems
• Kubernetes (EKS) in production
• AWS certifications

Job Overview:

Now, we are seeking a skilled Kotlin Developer with around 2+ years of experience to join our team. The ideal candidate will be responsible for developing and maintaining high-performance Kotlin-based applications while ensuring best practices in architecture, security, and performance optimization.This is your chance to make an impact, and we’re here for it.

Key Responsibilities:

● Develop, enhance, and maintain Kotlin-based applications.

● Work with local databases such as Room, SQLite, and Realm for efficient data storage.

● Integrate API services using Ktor, Retrofit, and OkHttp for RESTful and GraphQL-based communications.

● Implement Kotlin Coroutines & Flow for asynchronous programming.

● Follow Clean Architecture and MVVM/MVI principles for scalable and maintainable code.

● Optimize application performance, security, and responsiveness. Write and maintain unit and integration tests to ensure application stability.

● Stay updated with Kotlin, Jetpack components, and the latest industry best practices.

What We're Looking For:

● 2+ years of experience in Kotlin development (Android or KMM).

● Strong knowledge of local database management (Room, SQLite, Realm, or SQLCipher).

● Expertise in API service integration using Ktor, Retrofit, or OkHttp.

● Hands-on experience with Kotlin Coroutines & Flow for efficient asynchronous programming.

● Strong understanding of Jetpack components (LiveData, ViewModel, Navigation, WorkManager, etc.).

● Experience in designing applications following Clean Architecture, MVVM, or MVI patterns.

● Knowledge of dependency injection frameworks like Dagger/Hilt or Koin.

● Proficiency in version control systems (Git) and platforms like GitHub, GitLab, or Bitbucket.

● Experience with unit testing using JUnit, MockK, or Espresso.

● Understanding of performance optimization techniques for Kotlin applications. 

We are looking for a resource with 2-4 years of experience in Full stack with Python and Vue.js with ML/AI skills. As a developer, you’ll gain valuable management experience delegating responsibilities to the rest of your team and reviewing the work of junior developers.

Requirement:

• Bachelor’s Degree in Computer Science (good to have).
• 2+ years’ experience in web and software development
• Ability to work independently and multi-task effectively
• Demonstrated understanding of projects from the perspective of both client and business(preferably from cybersecurity domain).

Technical Skills required:

• Node Js,
• Vue.JS
• ML/AI
• Python
• Agile Development

Roles & Responsibilities:

• Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle.
• Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code.
• Prepares and installs solutions by determining and designing system specifications, standards, and programming.
• Improves operations by conducting systems analysis and recommending changes in policies and procedures.
• Meeting deadlines.
• Accomplishes engineering and organization mission by completing related results as needed.
• Troubleshoot, debug and upgrade existing software

Job Type: Full-time

Salary: OPEN

Benefits:

• Flexible schedule
• Paid sick time

This is a fast filling role.

We are looking for candidates who are smart and ambitious. The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationships and maintaining existing ones. There will be Performance based incentives for those who are self driven and motivated to achieve results and grow with us.

 Qualifications

• Bachelor's degree 3+ years in Business, Sales, Marketing or Technology

• Minimum of 6 months - 2 year+ experience in sales, business development or similar role

• Experience in full sales cycle including deal closing

• Demonstrated sales success

• Strong negotiation skills

• Strong written and verbal communication and presentation skills

• Proficient in working on excel, powerpoint, googlesheets

• Knowledge of generating leads through LinkedIn, Twitter and others

• Experience in international sale and IT services would be preferred

Responsibilities

• Build relationships with prospective clients

• Oversee the sales process to attract new clients. 

• Work with senior team members to identify and manage risks

• Research and identify new market opportunities

• Attending networking events to attract and retain clients

• Developing and executing sales and marketing strategies to grow business

• Prepare and deliver pitches to potential investors

• Analyze market and establish competitive advantages

• Track metrics to ensure targets are hit

• Foster a collaborative environment within the organisation

Job title: Front End Senior Developer 

Job description 

Roles and Responsibilities 

1.Collaborate with cross-functional teams to define, design, and push new front-end solutions. 

2.Translate UI/UX design wireframes to actual code that will produce visual elements of the application. 

3.Unit-testing code for robustness, including edge cases, usability, and general reliability. 

4.Create and be accountable for user interaction models, workflows, information architecture, prototypes, and guidelines for user interfaces. 

5.Designing and building responsive web applications. 

6.Provide technical leadership towards new UI architectures. 

7.Continuously discovering, evaluating, and implementing new technologies to maximize development efficiency. 

Requirements: 

1. 4+ years of Frontend development experience 

2.Experience in ReactJS, Redux and component based design 

3.Experience in HTML5/CSS3, SASS or LESS 

4.Experience in Mobile web Specific Technologies Like PWA, Service Workers. 

5.Experience in Unit testing and Flow testing using Jasmine/Karma, Jest Framework 

6.Knowledge of front-end build tools and frameworks. Webpack and Babel. 

7.Experience in TDD (test-driven development)] 

8.Experience of developing and consuming RESTful web services 

9.Proficient understanding of web Markup. 

10.Good knowledge of caching and memory management for UI applications 

11.Should have executed a production level end to end UI application  

• Test current products and identify deficiencies.
• Suggest solutions to identified product problems.
• Investigate product quality in order to make improvements to achieve better customer satisfaction.
• Plan, create, and manage the overall Quality Planning strategy.
• Collaborate with the Product Development team to ensure consistent project execution.
• Identify quality assurance process bottleneck and suggest actions for improvement.
• Oversee continuous improvement projects.
• Collect quality data.
• Identify key KPIs for product quality.
• Track quality assurance metrics, like defect densities and open defect counts.
• Prepare and present reports and metrics to Senior Management.

• A minimum of 2 years of experience as a Quality Assurance Engineer.
• An experience with a variety of different testing techniques such as UI Testing, Automated testing, Test Driven Development Strategies, etc
• An experience in testing tools such as Selenium, JMeter
• An experience with coding using Python, Java, Node.js.
• An experience with software QA tools and processes.
• Knowledge of MySQL
• A sense of ownership and pride in your performance and its impact on the company’s success.
• Critical thinker and problem-solving skills
• Good time-management skills
• Great interpersonal and communication skill

• A team of aces, from top-tier schools and startups, to work with
• A fast-paced, data-driven, and fun work environment
• A huge appetite for new, disruptive, creative, and implementable ideas
• An open work culture

• Competitive salary
• Great working environment, opportunity to work directly with the founders on very exciting real-life problems.
• Opportunity to grow really fast.
• Opportunity to hire a team & mentor them in the future.
• ESOPs

1. Shortlist
2. Intro call of 15min
3. 1-2 Tech rounds
4. HR round
5. Offer rollout