Sales Executive

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

We’re Building the Future of Immigration Tech

We are developing a high-performance, AI-driven immigration platform that automates visa assessments and guidance for high-skilled immigrants. Our focus is on speed, accuracy, and scalability—not a flashy UI, but a powerful decision-making engine that delivers real value.

We need top-tier engineers who build for performance over aesthetics. If you love AI, automation, and disrupting old systems, this is for you.

🛠 Open Roles

1️⃣ AI/ML Engineer (Visa Assessment AI)

• Develop a cutting-edge AI model for visa eligibility assessments.
• Use NLP to process immigration laws, policies, and case precedents.
• Optimize for accuracy, efficiency, and scale (real-time processing).

2️⃣ Full-Stack Developer (Lean & Scalable Web App)

• Build a high-performance, no-frills web app (React/Next.js preferred).
• Integrate the AI model seamlessly into a secure and scalable backend (Python/Django or Node.js).
• Implement fast data retrieval for applicant evaluations.

🔍 Who We’re Looking For

✔ AI/ML Engineer: Strong experience in NLP, AI automation, and structured data processing. Experience with TensorFlow/PyTorch/OpenAI APIs is a plus.

✔ Full-Stack Developer: Expertise in React (Next.js preferred), Python/Django, or Node.js. Must prioritize performance & security.

✔ Both: You’re a problem-solver, performance-obsessed, and thrive in lean environments.

💻 Tech Stack (Recommended, Open to Suggestions)

• AI/ML: Python (FastAPI, TensorFlow, OpenAI APIs, Hugging Face NLP)
• Frontend: React, Next.js (for speed & SEO)
• Backend: Python/Django or Node.js (for performance & scalability)
• Database: PostgreSQL or Firebase

What You will do 

● Create beautiful software experiences for our clients using design thinking, lean and agile methodology.

● Work on world-class software products using the latest cutting edge technologies and platforms.

● Work in a dynamic, collaborative, transparent, non-hierarchical culture.

● Work in collaborative, fast-paced and value-driven teams to build innovative customer experiences for our clients.

● Help to grow the next generation of developers and have a positive impact on the industry.

Basic Qualifications

● Experience: 5+ years.

● Hands-on development experience in backend, Java, SprintBoot, Hibernate, SQL, MongoDB, Jenkins, Microservices etc...

● Server-side development experience mainly in JAVA.

● Passion for software engineering and follow the best coding concepts. ● Good to great problem solving and communication skills.

● Experience in working with cross-border, distributed teams is a must.

Nice to have Qualifications 

● Product and customer-centric mindset.

● Great OO skills, including design patterns.

● Experience with large-scale enterprise systems

Read less

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.

• Natural creativity:

The best designers are creative visionaries, people who are capable of stepping back, seeing the big picture, and coming up with new ways of approaching challenges and making positive changes to how the company is managed and marketed.

• Not a CAVEr: 

You are a person that people like to be around. You are not a CAVE (Constantly Against Virtually Everything) personality.

• Say no to HiPPO: 

At Searce, we want people who value everyone’s opinions & perspectives. We don’t want them to get overpowered by HiPPO (Highest Paid Person’s Opinion)

1. Have a point of view and can distinguish between "good" and "great" work.
2. Strong hands-on skills which should range from designing using Photoshop to coding UI mockups. 
3. Hands-on knowledge of front-end technologies: Html 5, CSS, JavaScript.
4. Hands-on knowledge on Photoshop / Illustrator / Dreamweaver / Fireworks / Flash. 
5. A design portfolio demonstrating the breadth and proven experience in product and services marketing communication, workflow and interaction design, visual design work, and a thorough understanding of a good design process is required.
6. Have the ability to work on digital marketing strategies, define workflows, write concepts and content to generate interest in Searce’s products, brands, and services.
7. Have the ability to think strategically, act tactically, and solve problems quickly.
8. Successfully overcome engineering challenges and understand the need for testing and iteration of new user experiences.
9. Have a track record in creating highly functional, user-focused, complete, and desirable experiences and designs.
10. Be able to lead teams through the design process and partner effectively within cross-functional teams.
11. Be innovative, enthusiastic, flexible, and creative.
12. Demonstrate excellent project management and scheduling skills.

Is Education overrated? Yes. We believe so. But there is no way to locate you otherwise. So we might look for at least a Bachelor’s degree in Design (B.Des.).

1. A lead of visual design who envisions and creates the next generation of user interfaces for customer service.
2. A design pioneer, who will invent user interfaces that combine speech, touch, and other modalities to drive intuitive interactions on smartphones, tablets, and other connected consumer devices.
3. The ability to combine strategy with design thinking to deliver an experience like our audience never had before.
4. Bring passion and dedication to his/her job and become a storyteller through exceptional and engaging designs. 

We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well.

• Writing reusable, testable and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications.
• Integration of user-facing elements developed by front-end developers with server side logic.
• Implementation of security and data protection.
• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

Skills And Qualifications:

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack).
• Familiarity with some ORM (Object Relational Mapper) libraries.
• Able to integrate multiple data sources and databases into one system.
• Understanding of the threading limitations of Python, and multi-process architecture.
• Good understanding of server-side templating languages.
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3.
• Understanding of accessibility and security compliance (depending on the specific project).
• Knowledge of user authentication and authorization between multiple systems, servers and environments.
• Understanding of fundamental design principles behind a scalable application.
• Familiarity with event-driven programming in Python.
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform.
• Able to create database schemas that represent and support business processes.
• Strong unit test and debugging skills.