AVP - Product 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

Editorial Associate AM:PM · Mumbai, Andheri · Full-time · Junior to Mid-level

About AM:PM Short-form vertical video news platform for Gen Z and millennials. VC-backed, pre-launch. We're building how the next generation consumes news in India, fast, sharp, no filler.

About the role You work under the Senior Editor. Your job is to find the story before everyone else does, write copy that lands in 60 seconds, and source the visuals that make it hit.

This is not a writing job. It's a news job. The output just happens to be video.

What you'll do

• Monitor news across beats: politics, finance, tech, sports, and culture
• Write sharp video scripts and copy that work for short-form format
• Source relevant video takes, clips, and visuals for each story
• Pitch stories daily to the Senior Editor with a clear angle
• Turn around content fast without compromising accuracy
• Stay on top of what's breaking and flag it before it's everywhere

What we're looking for

• Background in journalism, mass media, or communications
• Understands what makes a story worth telling and what doesn't
• Can write a script that a Gen Z audience actually watches till the end
• Knows how to source video and visuals, not just text references
• Fast, accurate, and doesn't need to be told what's newsworthy
• Based in Mumbai, Andheri

What you get

• Founding editorial team of a platform built for the next generation of news consumers
• Direct mentorship from the Senior Editor and founding team
• You shape the editorial voice of the platform from its first videos, not its hundredth

Our client is looking for a result driven Influencer Marketing Manager with strong exposure to influencers to manage performance-focused global campaigns across India, Middle East, and South East Asia.

Key Responsibilities:

• Identify, shortlist, onboard, and manage finance/crypto/fintech influencers & KOLs
• Source influencers via Instagram, YouTube, and Telegram
• Evaluate creators based on engagement, audience quality, geography, and past collaborations
• Negotiate commercials, deliverables, timelines, and performance expectations
• Execute campaigns (reels, stories, YouTube videos, live sessions, Telegram posts)
• Manage content calendars, tracking links, creatives, and timely deliveries
• Build long-term relationships with high-performing influencers
• Act as the main point of contact and handle coordination/conflict resolution
• Track performance (views, engagement, clicks, conversions, ROI) and optimize campaigns
• Stay updated with influencer, crypto, trading, and Web3 trends
• Ensure influencer content complies with platform policies and financial ad guidelines

Requirements:

• Proven influencer marketing experience
• Strong communication and negotiation skills
• Hands-on experience with Instagram, YouTube, Telegram
• Ability to manage multiple influencers and campaigns
• Comfortable working with global creators
• Performance-driven mindset focused on ROI & KPIs

Good to Have:

• Experience with crypto exchanges, Web3 startups, fintech or trading brands
• Existing network of finance/trading influencers
• Knowledge of influencer tracking tools

Node JS Developer

We are looking for a Node JS Developer to join our team.

In this role, you will be entrusted with developing JavaScript applications using Node.js(NestJs framework).

Apply now for the role of a Node JS Developer at Codebuddy which is opening doors for skilled, energetic developers looking for Node JS Developer Jobs.

If you can help us design and create multiple layers of applications while working cross-functionally across different infrastructures and if you love problem-solving, Designing systems, and creating quality offerings, you would fit perfectly in Codebuddy.

Responsibilities:

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.
• Analyze requests for enhancements/changes and write amendment/program specifications.
• Understand the inter-dependencies of the service (application, system, and database) and be able to pinpoint problem areas accurately to improve overall efficiency.
• Translate storyboards and various use cases to create high-performing apps
• Help in code automation
• 
  

What You Need To Apply (Technical Competency) :

• Bachelor's degree in computer science, information science, or similar.
• Minimum two years of experience as a Node.js developer.
• Minimum 6 months of hands-on experience with TypeScript.
• Basic knowledge of NestJs and ExpressJs.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of MongoDB.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Basics of Linux commands and basic Git knowledge for everyday workflow.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.
• Self-motivated with the ability to work independently or jointly in a self-directed way.

A Desktop Support Engineer is responsible for providing technical assistance to end users, troubleshooting hardware and software issues, and ensuring smooth IT operations. The role involves installing, configuring, and maintaining computer systems, peripherals, and network connections while providing excellent customer service.

Key Responsibilities:

• Install, configure, and troubleshoot desktops, laptops, and peripherals.
• Provide first-level support for software, hardware, and network-related issues.
• Assist users with operating system, application, and connectivity problems.
• Perform system updates, patch installations, and regular maintenance.
• Maintain and manage IT assets, ensuring proper documentation.
• Troubleshoot and resolve printer, scanner, and other peripheral issues.
• Support remote users through phone, email, or remote desktop tools.
• Collaborate with IT teams to escalate and resolve complex technical issues.
• Ensure security protocols and best practices are followed for system safety.
• Document solutions, processes, and user issues for future reference.

Required Skills:

• Strong knowledge of Windows, macOS, and basic Linux troubleshooting.
• Experience with Microsoft Office, email configurations, and software installations.
• Basic networking knowledge (IP addressing, DNS, DHCP, VPN, Wi-Fi).
• Hands-on experience in troubleshooting hardware components.
• Familiarity with Active Directory, user account management, and system policies.
• Good problem-solving and communication skills.
• Ability to work independently and handle multiple tasks efficiently.

Experience & Qualifications:

• Bachelor's degree in IT, Computer Science, or related field (preferred).
• 1-2 years of experience in desktop support or IT helpdesk roles.
• Certifications like CompTIA A+, ITIL, or Microsoft Certified are a plus.

• Create well-designed, tested code using best practices for website development, including mobile and responsive site design
• Integrate data from various back-end services and databases
• Create and maintain software documentation
• Stay plugged into emerging technologies/industry trends and apply them into operations and activities
• Cooperate with web designers to match visual design intent

• 3+ years proven work experience as a Mobile developer.
• Experience using web services (HTTP, REST, SOAP) using JSON, API and API Framework) .
• Good knowledge of object-oriented design patterns and Multi-threading concepts
• Good knowledge of the SQLite database and the Google Play Services like Push Notifications (fcm/sns)
• Strong mobile UI design (multi-screen resolutions), coding, support and maintenance
• Knowledge of HTML5, Bootstrap, JavaScript,
• Experience with third-party libraries and APIs (like Facebook, Twitter, etc.)
• Proficient iOS and Android mobile app experience are a plus
• In-depth knowledge of at least two Framework/Libraries like React Native / Ionic / Framework7 / Aurelia / PhoneGap / Flutter and angular / react / vue / Mobile Angular UI/ Kendo UI.
• Knowledge of bench marking and optimization
• Mandatory : self sufficient developer and must have prior experience of hybrid development [atleast 3 projects]

Mandatory Skills 

• Good programming skills using C++ on windows

• Work exp in using Boost Library, Multi-threading, data Structures

• Good understanding of kernel level API's in Lwindows

• Scripting knowledge – Shel Scripting, Perl, Python 
Job Description

Proven C++ developer(Design Patterns, Multi-Threading, Data Structures, File Systems etc. ) on windows

• Hands-on experience in API design and development

• Good exposure to CMake based builds and PERL scripting

• Proven Object Oriented designer and implementer with strong understanding of software architecture leveraging UML and design patterns.

• Good understanding of Agile Scrum practices

• Excellent communication skills.

• Expertise in static and dynamic analysis

• Packaging/recompilation of RabbitMQ, buildpacks (basic knowledge on dockers)

• Work experience in CI / CD "