Automate Test Lead

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

Key Factors:

1. Proven experience in sales and business development, preferably within the education sector, specifically in selling admission management solutions to CBSE, ICSE, IGCSE, IB, and boarding schools.
2. Strong understanding of the admission processes and challenges faced by educational institutions.
3. Excellent communication and presentation skills, with the ability to effectively engage with school stakeholders at all levels.
4. The proactive and results-driven mindset with a track record of meeting or exceeding sales targets.
5. Ability to build and nurture long-term relationships with customers.
6. Strong negotiation and closing skills, with attention to detail in contract and agreement management.
7. Exceptional organizational and time management skills, with the ability to prioritize tasks effectively.
8. Willingness to travel within the assigned territory as required.
9. Bachelor's or Master’s degree in business, marketing, education, or a related field is preferred.

I am looking to hire a serious Performance Marketing Leader who understands profitable scaling not just campaign execution.

We’re scaling aggressively and preparing to deploy ₹2 Cr+ per month across Meta & Google.

Target: 4X+ blended ROAS with strong contribution margins.

This is not a campaign manager role.

This is a revenue ownership role.

I’m looking for someone who:

• Has 6–9 years of hands-on performance experience

• Has managed ₹50 Lakh+ monthly budgets

• Understands CAC, MER, LTV & contribution margin

• Knows Meta scaling frameworks & Google PMax deeply

• Has scaled a D2C brand profitably

📍 Mumbai | Work From Office

🕒 11 AM – 8 PM | Monday–Saturday

If you’re confident operating at this level, DM me with:

* Brands scaled

* Budget handled

* Blended ROAS achieved

* Current CTC & notice period

We’re building something serious at Wildglow.

Looking for someone equally serious about growth.

Job Role: Content Strategist

• Exp: 4+ Years
• CTC: open 
• Notice Period – Immediate Joiners preferred

Responsibilities:

● Create creative strategy/new content for clients. Work closely with design, content team to build and audit marketing toolkits

● Collaborating with team members – writers, content creators/designers and account managers– to consistently deliver high performance work

● A content strategist needs to develop explicit and engaging content consistently

● Should also analyse content marketing data to trends and anticipate brand needs

● Should also perform various content audits to understand how existing content is performing

● Content strategist must also keep an eye on what is happening in and around the industry to develop the most mind-boggling and unique ideas for brands.

As a Campaign Ambassador at Unessa Foundation, you will support our outreach efforts by helping spread awareness and contributing to ongoing fundraising activities through your personal and social networks. You will receive guidance on how to represent the cause effectively and will get the opportunity to be part of a mission-driven campaign.

Do Your Thng 

https://doyourthng.com/ 

Role : Django Developer 

JOB DESCRIPTION 

DYT - Do Your Thing, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space. 

RESPONSIBILITIES 

• Expert in Python with knowledge of Python best practices (PEP8) 
• Strong knowledge of python web frameworks such as Django, Flask • Strong knowledge of building RESTful APIs using Django Rest Framework • Good Understanding of Django ORM Libraries 
• Able to integrate multiple data sources and databases into one system • Strong experience on Linux 
• Solid database skills in a relational database (i.e. PostgresSQL,MYSql) • Able to create database schemas that represent and support business processes • Strong unit test and debugging skills 
• Proficient understanding of code versioning tools (git) 
• Experience deploying on AWS is desirable 
• Experience with Docker,Test Drive Development will be a plus 
• Excellent interpersonal, leadership, influence and communication skills • Experience in designing scalable micro-services is desirable 

QUALIFICATIONS 

• 1-3 years of experience as a backend developer 
• At least one product build and published 
• SKILLS Contribute in all phases of the development lifecycle 
• Write well designed, testable, efficient code 
• Work well under pressure and meet deadlines without sacrificing quality • Work with distributed development teams