Senior Automation Engineer

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

Junior System Administrator (VoIP/Telephony) / Telephony Engineer (Telecommunications)

No. of Positions - 1

We are looking for a Junior System Administrator (VoIP) / Telephony Engineer (Telecommunications) to join our Telebu's Communications engineering Team. The Telebuin will develop, implement and support IP Telephony related technologies including and not limited to IP Telephony, IVR platforms, Conferencing solutions, Voice engineering integration, Voice over IP (VoIP), Session Border Controllers (SBC), Session Initiation Protocol (SIP), WebRTC, and Public Switched Telephone Network (PSTN) gateways.

Responsibilities:

• Install & maintain Freeswtich and other SIP servers.
• Administration of SIP and Media Servers, Network/Protocol level debugging and testing, Contact center solutions, Troubleshoots and resolves complex problems.
• Provide IP Telephony and VoIP Subject Matter Expertise for Company and Company's managed service providers, manages 3rd party telecom carriers and providers.

Requirements:

• 3 years of hands-on industry experience in telecommunications
• Strong conceptualize knowledge and experience with telephony protocols like SIP, SDP, RTP, SRTP and audio/video codecs.
• In-depth working experience with Kamailio, Freeswitch, Any of the SIP stack (Sofia, reSIProcate, PJSIP, etc.), and Linux
• Experience in using the VoIP testing tools like Wireshark, VoIPMonitor, SIPp, SIPCapture, Homer etc.
• Strong understanding of implementing various network setups (Private VPNs, multi-zone secure connectivity etc)

Nice to have:

• Experience with virtualization/container related technologies (Xen, VMware vSphere / ESXi, Docker, Kubernetes)
• Hands on writing production quality code using any of the scripting languages like Python, Go, Erlang etc.
• Working knowledge in any NoSQL databases like MongoDB, Redis, Cassandra etc.
• Passionate about knowing everything about VoIP Protocol standards & related RFCs

Company Profile: 

Machwan Communication & Research is INDIA'S LEADING business intelligence, data management & data analytics company, Headquartered in New Delhi and branch office at Noida . Established in the year 2005 and have been on an epic ride ever since. Machwan helps businesses to effectively drive their marketing and sales campaigns by fueling their campaigns with data-driven insights & actions, resulting in increased ROI and time-bound results.We transform DATA into actionable insights & essential intelligence which is required at every step of the business decisions.

Website: https://www.machwan.com

 REQUIREMENT:

Fresher’s and 1 year working experience. Client / customer coordination experience is required if experienced.

Fluency in English and writing skill of corporate communications is a must 

Tele-calling experience in a BPO / KPO is preferable 

JOB DISCRIPTION:

• Discovery of customers to generate database opportunities using secondary research as per client needs.

• Making cold calls, intermediate calls, follow up.

• Manage, nurture and convert leads into MQL/SQL.

• Identify strong potential prospects using creative skills.

• Advocating client’s products

• Work smoothly with good communication and higher conversion of leads and build happy environment in office.

• Provide accurate and timely information as required to managers and senior management.

• Influencing & pursuing the customer 

• Building a list of prospect and creating business opportunity for the client

• Finally aligning the customer with the client

• Sometimes inviting customers to participate in the events sponsored by the client   

• Out reaching accounts using emails and other channels.

• Adhere to company policies, procedures, culture, and business values.

• Passionate and learn to research about the lead/marketing industry.

Desired Candidate Profile

• Graduation is a must
• Relevant work experience of 5-12 years in key account management/ BD / corporate sales is
• Experience in corporate sales, executive health check packages sales with corporates- from diagnostic companies, online aggregators, is preferred
• Outstanding communication and professional networking skills
• Excellent presentation, negotiation and interpersonal skills
• High ownership and problem-solving ability is a must

5) Laptop/PC with Microphone and Camera with Stable Internet Connectivity

6) Good Command over English is a must
7) Are available for a Minimum of 6 months
8) Working on teaching topics like Drone and UAV
9)Helping the kids in learning and growing their knowledge base
10) Hands-on experience in project/drone building will be preferred

• Plan and execute all digital marketing, including SEO/SEM, marketing database, email, social media and display advertising campaigns
• Design, build and maintain our social media presence
• Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
• Identify trends and insights, and optimize spend and performance based on the insights
• Brainstorm new and creative growth strategies
• Plan, execute, and measure experiments and conversion tests
• Collaborate with internal teams to create landing pages and optimize user experience
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points