Remote Java technical lead Jobs – 112 Open Jobs Today

Sr. AI System Engineer (Gen AI)
Ipeople Infosysteams LLC —Remote
- ₹40,00,000 - ₹60,00,000 a year
- Full-time
- Remote
- Management
- Computer Science
- Java
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10d
Full-stack developer/ Lead with AI experience.
Exelo Technologies Inc —Remote
- ₹3,76,828.42 - ₹16,24,144.78 a year
- Full-time
- Remote
- Azure
- Computer Science
- Java
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SAP Basis Consultant
procallisto solutions pvt —Remote
- ₹1,20,000 - ₹1,50,000 a month
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- Oracle
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Splunk Administrator/Developer-AppDynamics/Java/Python
MNJ Software —Remote
- Full-time
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- English
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Senior Backend Engineer
Everbridge —Remote
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DevOps Monitoring Engineer-Configuration Management
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INDUANSH PRIVATE LIMITED —Remote
- ₹60,000 - ₹90,000 a month
- Full-time
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1d
Cloud Solution Architect
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DevOps Engineer Lead
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Sr. AI System Engineer (Gen AI)

Ipeople Infosysteams LLC
Remote

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Job details

Permanent | Full-time
₹40,00,000 - ₹60,00,000 a year
10 days ago

Qualifications

BCS
TensorFlow
CI/CD
Data modelling
Go
Management
Computer Science
Kubernetes
NoSQL
Git
Java
Databases
SQL
AWS
Docker
Bachelor's degree
Terraform
Continuous integration
REST
GitHub
APIs
S3
DynamoDB
AI
RDS database
gRPC
TypeScript
Python
Identity & access management

Full job description

AI Systems Engineer (GenAI), IC — Title Flexible

We’re looking for a hands‑on Individual Contributor who excels at taking real business problems and turning them into production‑ready GenAI solutions. If you have a strong track record of designing, building, and operating GenAI systems (across both text and images) in production environments, we’d love to talk.

What You’ll Do

Own problems end‑to‑end: Translate business goals into technical plans; design pragmatic solutions; deliver production systems with measurable impact.
Build production back ends: Design and implement APIs and microservices (REST/gRPC) for GenAI workloads; containerize and orchestrate services (Docker/Kubernetes/ECS/EKS).
Ship on AWS: Leverage AWS (e.g., Lambda, ECS/EKS, S3, DynamoDB/RDS, API Gateway, SQS/SNS, CloudWatch) plus AI services (e.g., Bedrock, SageMaker) to train, host, and integrate models.
Work across modalities: Deliver features for text (LLMs/RAG) and images (VLMs/CV) including retrieval, embeddings, fine‑tuning/adapters, and evaluation pipelines.
Make it observable: Instrument logging, metrics, and traces (OpenTelemetry/CloudWatch/Datadog/etc.); build dashboards, SLOs/SLIs, and alerts; own performance, reliability, and cost.
Validate and govern: Implement offline/online evaluations, A/B tests, guardrails/red‑teaming, data and model quality checks, and safety/compliance gates.
Automate the path to prod: Establish CI/CD (GitHub Actions/CodePipeline), infrastructure as code (Terraform/CloudFormation), automated tests, and rollouts (canary/blue‑green).
Collaborate without handoffs: Partner with product, domain experts, and downstream teams; document architecture; support launches; close the loop with data‑driven iteration.

What You’ve Shipped (Signals We’ll Look For)

At least one year owning a production GenAI or ML system (not a side project), plus 3–5+ years total professional experience building back‑end or ML‑powered products.
Services you built that are running in production with users/traffic, clear SLIs/SLOs, and release/incident history.
Evidence of quality: eval frameworks, regression tests, canary strategies, monitoring dashboards, cost/perf optimizations you introduced.

Required Experience

GenAI foundation: LLMs/VLMs, embeddings, RAG, prompt orchestration, adapters/fine‑tuning, tokenization, latency/cost trade‑offs, content safety/guardrails.
Back‑end & systems: Strong design of microservices, APIs, event‑driven patterns; data modeling across SQL/NoSQL; familiarity with vector databases.
AWS & cloud infra: IAM/KMS/secrets, networking, containers/orchestration, CI/CD, IaC; operating services in AWS with cost/performance ownership.
Observability & reliability: Logging, metrics, traces; performance profiling; incident response; chaos and load testing; availability and scaling strategies.
Languages & tooling: Proficient in Python (plus one of TypeScript/Go/Java); PyTorch/TensorFlow; Docker/Kubernetes; git; testing frameworks.

How We’ll Collaborate

This is a hands‑on IC role — not people management. You’ll partner closely with product and customers and will be expected to roll up your sleeves daily.
Title is flexible (e.g., AI Systems Engineer, AI Product Engineer, Senior Software Engineer — AI, ML Engineer (Production)). We care about what you’ve built and shipped, not the label.

Minimum Qualifications

Bachelor’s degree in CS/EE or equivalent practical experience.
3–5+ years in software/ML engineering with ≥1 year owning production AI/ML systems.

Best regards,

Swapnil Thakur

Recruitment & Delivery Lead

iPeople Infosystems LLC

Contact No: +91 8956457311

Email ID: [email protected]

Visit us at www.ipeopleinfosystems.com

Pay: ₹4,000,000.00 - ₹6,000,000.00 per year

Work Location: Remote

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Refine Your Search

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