Bengaluru Karnataka Senior backend engineer, vision Jobs – 5775 Open Jobs Today

Senior Backend Engineer, Vision
Sarvam —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- APIs
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Senior Backend Engineer
Corridor Platforms —Bengaluru, Karnataka
- ₹18,00,000 - ₹35,00,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- Databases
- Health insurance
- Paid time off
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Senior Backend Engineer
Bumsa Talent Solutions Private Limited —Koramangala, Bengaluru, Karnataka
- Up to ₹60,00,000 a year
- Full-time
- System design
- 12th Pass
- AWS
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13d
Senior Active Directory Engineer
Barclays —Bengaluru, Karnataka
- Weekend availability
- Azure
- Windows
- AWS
Senior Backend Engineer
Quest Global —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
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Senior Software Engineer - Backend/Fullstack [India]
FurtherAI —Bengaluru, Karnataka
- ₹60,00,000 - ₹90,00,000 a year
- Full-time
- Remote
- AI
- Python
Sr. Backend Engineer
PinnacleU —Bengaluru, Karnataka
- ₹35,00,000 - ₹40,00,000 a year
- Full-time
- System design
- APIs
- AI
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Senior Backend Engineer
Bumsa Talent Solutions Pvt Ltd —Koramangala, Bengaluru, Karnataka
- ₹16,00,000 - ₹33,00,000 a year
- Full-time
- AWS
- JavaScript
- Agile
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13d
Senior Backend Engineer
Ratch ai —Bengaluru, Karnataka
- ₹15,00,000 - ₹18,00,000 a year
- Full-time
- System design
- AWS
- Mentoring
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20h
Backend - Senior Engineer
Commvault —Bengaluru, Karnataka
- Email
- Java
- Bachelor's degree
- APIs
Senior Backend Engineer
CDPG —Bangalore City, Bengaluru, Karnataka
- Full-time
- Writing skills
- APIs
- Linux
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Senior Engineering Manager, Backend
Harvey —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Java
- AI
- Python
Senior Backend Engineer - Platform Insights
GitLab —Bengaluru, Karnataka
- Full-time
- APIs
- AI
- Communication skills
- Health insurance
- Paid time off
Senior Staff Backend Engineer
Coupang —Bengaluru, Karnataka
- Hybrid work
- Computer Science
- Java
- Master's degree
- Work from home
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Senior Backend Developer
PinnacleU —Bengaluru, Karnataka
- ₹30,00,000 - ₹35,00,000 a year
- Full-time
- Azure
- System design
- Databases
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Senior Engineer - (Python Backend)
Fulfil.IO Inc. —Bengaluru, Karnataka
- ₹55,00,000 - ₹80,00,000 a year
- Full-time
- Hybrid work
- Bachelor's degree
- APIs
- Python
- Paid time off
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Principal Engineer - Backend
Unifize —Bengaluru, Karnataka
- ₹60,00,000 - ₹70,00,000 a year
- Full-time
- Presentation skills
- Bachelor's degree
- APIs
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Senior Product Engineer (AI)
Mk hr services —Koramangala, Bengaluru, Karnataka
- ₹30,00,000 - ₹50,00,000 a year
- Full-time
- System design
- JavaScript
- Product management
- Health insurance
- Paid time off
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Senior Backend Engineer, India
GitLab —Bengaluru, Karnataka
- Full-time
- APIs
- AI
- Communication skills
- Health insurance
- Paid time off
Senior Platform Engineer
Rifa AI —Bengaluru, Karnataka
- ₹30,00,000 - ₹50,00,000 a year
- Full-time
- Remote
- Computer Science
- APIs
- Leadership
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Senior Backend Engineer, Vision

Sarvam
Bengaluru, Karnataka

Quick apply

Job details

Full-time

Qualifications

Azure
Go
Law
Kubernetes
Software deployment
Master's degree
PostgreSQL
Distributed systems
Redis
Back-end development
REST
APIs
Python

Full job description

About Sarvam

Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.

About the Team

Sarvam's research teams build our own vision-language models for OCR and structured extraction. This team builds everything around them — the serving harness that turns a 3B or 30B in-house model into a production document intelligence platform.

The bet is specific: with the right harness — routing, decomposition, retries, verification, ensembling, layout awareness, confidence calibration — a small sovereign model should match or beat what teams today get from frontier hosted models like Gemini Flash, at a fraction of the cost and fully within India. Closing that gap is an engineering problem, and it is this team's problem.

We run against the full messiness of Indian documents at population scale: PAN and Aadhaar, bank statements, GST filings, insurance and medical reports, 60-page

contracts, legal filings and RFPs — across languages, scan quality, and layouts that were never designed to be machine-read.

Stack: Go, Python, Temporal, REST, Kubernetes, PostgreSQL, Redis, object storage, OpenTelemetry-based observability.

About the Role

You will own the architecture of the serving harness for Sarvam's vision models — the system that has to deliver frontier-grade extraction quality out of 3B and 30B in-house models, at national scale, with cost and latency budgets that actually close.

This means owning the hard trade-off surface directly: accuracy versus latency versus rupees per page. Multi-pass inference, model routing and cascades, self-consistency and verification passes, confidence-driven escalation, batching and caching strategy, GPU utilisation. These are the levers that decide whether the product works, and you will be the person deciding how to pull them.

You will also set the reliability bar. These pipelines process documents that customers cannot afford to lose — KYC, loan underwriting, claims, contracts. Durability, idempotency, backpressure and graceful degradation are the baseline, not the roadmap.

The architecture you set will be inherited by everything the team builds after you.

What You'll Do

Own the end-to-end architecture of the OCR and extraction serving harness: API layer, orchestration, inference layer, post-processing, delivery

Design the accuracy harness — multi-pass extraction, ensembling, cross verification, schema-constrained decoding, confidence calibration, targeted re runs — and prove its gains against held-out evaluation sets

Architect durable, resumable document workflows in Temporal: fan-out across pages, partial failure recovery, exactly-once side effects, long-running jobs measured in minutes to hours

Own the inference serving layer alongside infra: batching strategy, GPU pool management, autoscaling on real signals, queue depth and admission control, multi-model routing

Drive latency, throughput and unit economics down deliberately — profile, measure, and defend cost-per-page targets as volume scales

Build the observability substrate: distributed tracing across the pipeline, per-stage cost and quality metrics, SLOs, alerting, and post-incident rigour

Design for multi-tenancy, tenant isolation, rate limiting and fair scheduling across enterprise customers with very different load shapes

Support on-prem and constrained deployments where the whole harness has to run inside a customer's environment

Set technical direction and raise the bar through design review and mentorship of SDE 1–2 engineers

What We're Looking For

5–6+ years in backend engineering, with meaningful time spent operating high throughput production systems you were on-call for
Deep proficiency in Go and/or Python, and the judgement to know which belongs where
Strong distributed systems design: queues, workflow orchestration, idempotency, backpressure, retry and timeout semantics, consistency trade-offs, graceful degradation
Production experience with Temporal or an equivalent durable execution engine, on workflows that mattered
Kubernetes in production — autoscaling, resource management, rollouts, debugging under load; GPU workload scheduling is a strong plus
Demonstrable experience serving ML or LLM inference in production: batching, caching, model versioning, A/B rollout, latency budgeting
Rigour about observability and reliability — you have designed SLOs, run incidents, and shipped the fixes
Hard-won cost intuition: you have made a system materially cheaper without giving up quality

Bonus Points

Direct experience with OCR, IDP, or document AI systems — Textract, Document AI, Azure DI, or something you built yourself

GPU inference stacks: vLLM, TensorRT-LLM, Triton, SGLang, Ray Serve Evaluation infrastructure for ML systems — golden sets, regression gates, human in-the-loop review loops

Experience with BFSI, healthcare, or public-sector compliance and data-residency constraints

On-prem or air-gapped deployment experience

Note

We are looking for people who can own the outcomes described here, not people who match every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.

Why Sarvam?

Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers ofAI with real population-scale impact.

Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar

High ownership and high impact, from day one

Everything we do is AI-first, from the way we build and ship to the way we think about problems

You can work on problems that could change how an entire country learns, works, and communicates

If you want to work on problems at the frontier ofAI in India, Sarvam is the place to be.

Quick apply

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