Competitive Programming 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

• Minimum 4+ years of years

• Experience in designing, developing, and maintain backend services using C# 12 and .NET 8 or .NET 9

• Experience in building and operating cloud native and serverless applications on AWS

• Experience in developing and integrating services using AWS lambda, API Gateway , dynamo DB, Eventbridge, CloudWatch, SQS, SNS, Kinesis, Secret Manager, S3 storage, server architectural models etc.

Experience in integrating services using AWS SDK

• Should be cognizant of the OMS paradigms including Inventory Management, Inventory publish, supply feed processing, control mechanisms, ATP publish, Order Orchestration, workflow set up and customizations, integrations with tax, AVS, payment engines, sourcing algorithms and managing reservations with back orders, schedule mechanisms, flash sales management etc.

• Should have a decent End to End knowledge of various Commerce subsystems which include Storefront, Core Commerce back end, Post Purchase processing, OMS, Store / Warehouse Management processes, Supply Chain and Logistic processes. This is to ascertain candidates knowhow on the overall Retail landscape of any customer.

• Strong knowledge in Querying in Oracle DB and SQL Server

• Able to read, write and manage PLSQL procedures in oracle.

• Strong debugging, performance tuning and problem solving skills

• Experience with event driven and micro services architectures

About Newton School Technology:

Newton School of Technology is building India’s most innovative tech Institute — a place where we revolutionise tech education in India with the mission of solving the deep problem of graduate unemployability. We are creating a new-age learning ecosystem grounded in industry projects, world-class mentorship, immersive experiences, and active student communities.

NST, dedicated to bridging the employability gap, has partnered with Rishihood University, Sonipat (India’s first impact university), Ajeenkya DY Patil University, Pune, and S-VYASA, Bangalore. Together, we are revolutionizing education, empowering students, and shaping the future of technology. With a team of experienced professionals and renowned investors, we are united in our mission to solve the employability challenge and make a lasting impact on society.

This is a high-energy, execution-driven role designed for someone who thrives in fast-paced, student-centric environments.

About the Role

As a Community Intern at Newton School of Technology, you’ll be at the center of our applicants ecosystem — building engagement, nurturing conversations, and strengthening our brand presence across online channels. This role blends communication, creativity, and operational coordination, giving you hands-on experience in community building, student engagement, and online reputation management within a fast-paced, growth-oriented environment.

Key Responsibilities:

• Engage actively with students across Telegram and other community platforms.
• Drive and moderate discussions — share updates, resources, and celebrate community milestones.
• Plan and execute virtual events, Q&A sessions, contests, and peer-learning initiatives.
• Collect and analyze student feedback to measure community health and engagement.
• Collaborate with academic, tech, and marketing teams to ensure consistent communication.
• Create and manage content calendars, including newsletters, polls, and community spotlights.
• Support onboarding and orientation for new students joining the community.
• Manage brand presence across public platforms — respond to Q&A and reviews on Quora, YouTube comments, Google reviews, Reddit, and other forums.
• Identify trends, recurring feedback, and opportunities to improve comms tone and responsiveness.

Requirements

• Currently pursuing or recently completed a Bachelor’s degree in Marketing, Communications, HR, or Technology. With Experience in Content Writing/Copywriting.
• Excellent written and verbal communication skills in English.
• Organized, self-driven, and creative with strong problem-solving skills.
• Passionate about education, student engagement, and online communities.
• Comfortable using tools like Notion, Canva, Slack, Google Workspace, and social platforms.
• Prior experience in student councils, clubs, or community management is preferred.'

Skills & Attributes

• Strong interpersonal and collaboration skills.
• Empathy and a student-first mindset.
• Ownership and accountability in handling community queries and responses.
• Creativity in driving engagement and shaping brand conversations.
• Attention to detail with a proactive and adaptable approach.

Benefits

• Hands-on experience in community management and Online Reputation Management.
• Certificate of Internship Completion.
• Internship Duration: Nov’25 to Aug’26 (Extension will be based on performance at completion of 3 months.)
• Working days: 6 days a week (rotational shift based on roasters).

Job Title: Project Associate - Mixed Signal Design Profile
Industry: Wireless communication, 5G
Organization: 5G TestBed-IIT Hyderabad- Hyderabad

Job Description
Work Profile:
· Work on development of custom Analog circuit boards for applications related to RF, interfaces etc.
· Implement new features and bug fixes
· Verify analog/mixed-signal integrated circuits
· Develop test cases to verify new features and bug fixes
· Review and update the user manuals for software tools.
· Supporting digital modelling of analog circuits for mixed-signal verification
· Creating design specifications and circuit schematics
· Work both independently and in a team environment, with the opportunity to provide technical leadership to other members of the engineering team
· Create and/or modify specification documents detailing system design and enhancements to meet marketing requirements
· Collaborate with others in the creation of technical reports, whitepapers, and user documentation

Requisites:
· EE/EEE/ECE graduate, undergraduate degree from reputed Tier 1 or Tier 2 colleges .
· Strong knowledge of analog integrated circuit design fundamentals
· Proven experience taking designs from concept to production
· Experience in analog/mixed-signal IC design & verification
· Understanding of BJT, CMOS and Op-Amp technologies.
· Good understanding of analog/mixed-signal design flows (Cadence, Synopsys)
· Transistor and system level simulation skills
· Discrete time and continuous time signal processing skills
· Strong lab and silicon validation skills
· Verilog based digital design and test bench development, is a plus
· Strong communication skills, both written and verbal
About us:
For more details please visit: http://5g.iith.ac.in/
IIT Hyderabad in collaboration with top Indian institutes including IITM, CEWiT, IITD, IITK, IISC and SAMEER is building the largest 5G testbed of the country, with the support of Department of Telecommunications (DoT) Govt. of India. This project will create a 5G prototype and testing platform that will be developed under the guidance of IIT-H faculty.
The project will deliver an end-to-end 5G testbed comprising 5G BS and UE nodes that support enhanced mobile broadband (eMBB), Ultra low latency communication (URLLC), and massive MTC including NB IoT services. The operating frequently includes both sub 6 GHz and mmwave frequencies. The system will exceed IMT 2020 5G performance requirements including Low Mobility Large Cell (i.e.., LMLC) targets introduced by India at ITU.
The 'Indigenous 5G Testbed' project is a long-term effort with a team of 100+ researchers/engineers based out of IIT-H campus.

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.
• To contact potential customers and identify new business opportunities.
• To stay abreast with customer needs, market trends and competitors.
• To maintain clear and complete sales reports for management review.
• To build strong relationships with customers for business growth.
• To analyze sales performances and recommend improvements.
• To ensure that sales team follows company policies and procedures at all times.
• To develop promotional programs to increase sales and revenue.
• To plan and coordinate sales activities for assigned projects.
• To provide outstanding services and ensure customer satisfaction.