Senior AI Engineer - GenAI, AI Platform & Voice AI
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Job Description
Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world's subscribers.
Role Summary
We are looking for a highly capable Senior AI Engineer with 3–4 years of hands-on AI/ML experience to design, build, and productionize scalable AI systems across Generative AI, AI platforms, AI gateways, Voice AI, LLM fine-tuning, ML training, and ML pipelines.
This role is for someone who can take ownership of complex AI initiatives end-to-end — from problem understanding, architecture, experimentation, model/pipeline development, deployment, observability, and continuous improvement. The ideal candidate should be comfortable working across application engineering, ML engineering, LLM systems, APIs, infrastructure, and production-grade AI platform components
Key Responsibilities
GenAI Application Engineering
Design and build production-ready GenAI applications using LLMs, SLMs, RAG, agents, tool-calling, workflow orchestration, and prompt engineering
AI Gateway & AI Platform Engineering
Contribute to the design and implementation of AI platform capabilities that enable safe, governed, and scalable use of AI models
Voice AI Engineering
Design and implement Voice AI systems involving speech-to-text, text-to-speech, speech translation, voice agents, and real-time conversational AI.
LLM Fine-Tuning & Model Training
Work on fine-tuning and training workflows for LLMs, SLMs, and task-specific ML models
ML Pipelines & MLOps
Design and maintain scalable ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining
Job Requirements
Skills Required:
Strong C, C++ and Python programming skills
Hands-on GenAI/LLM application development
Understanding of ML training and evaluation workflows
Ability to build APIs and backend services
Understanding of scalable system design
Experience with at least one ML/LLM framework
Ability to work with data pipelines and model pipelines
Fine-tuning frameworks such as PEFT, LoRA, QLoRA, TRL, or Unslot
Workflow orchestration using Airflow, Prefect, Kubeflow, Dagster, or similar tools
Containerization using Docker
Practical understanding of deployment, observability, and production readiness
3 to 4 years of hands-on experience in AI/ML, GenAI, or ML engineering
Strong practical exposure to building AI/ML systems, not just theoretical knowledge
Accessibility
Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter.
Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.
Role Summary
We are looking for a highly capable Senior AI Engineer with 3–4 years of hands-on AI/ML experience to design, build, and productionize scalable AI systems across Generative AI, AI platforms, AI gateways, Voice AI, LLM fine-tuning, ML training, and ML pipelines.
This role is for someone who can take ownership of complex AI initiatives end-to-end — from problem understanding, architecture, experimentation, model/pipeline development, deployment, observability, and continuous improvement. The ideal candidate should be comfortable working across application engineering, ML engineering, LLM systems, APIs, infrastructure, and production-grade AI platform components
Key Responsibilities
GenAI Application Engineering
Design and build production-ready GenAI applications using LLMs, SLMs, RAG, agents, tool-calling, workflow orchestration, and prompt engineering
AI Gateway & AI Platform Engineering
Contribute to the design and implementation of AI platform capabilities that enable safe, governed, and scalable use of AI models
Voice AI Engineering
Design and implement Voice AI systems involving speech-to-text, text-to-speech, speech translation, voice agents, and real-time conversational AI.
LLM Fine-Tuning & Model Training
Work on fine-tuning and training workflows for LLMs, SLMs, and task-specific ML models
ML Pipelines & MLOps
Design and maintain scalable ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining
Job Requirements
Skills Required:
Strong C, C++ and Python programming skills
Hands-on GenAI/LLM application development
Understanding of ML training and evaluation workflows
Ability to build APIs and backend services
Understanding of scalable system design
Experience with at least one ML/LLM framework
Ability to work with data pipelines and model pipelines
Fine-tuning frameworks such as PEFT, LoRA, QLoRA, TRL, or Unslot
Workflow orchestration using Airflow, Prefect, Kubeflow, Dagster, or similar tools
Containerization using Docker
Practical understanding of deployment, observability, and production readiness
3 to 4 years of hands-on experience in AI/ML, GenAI, or ML engineering
Strong practical exposure to building AI/ML systems, not just theoretical knowledge
Accessibility
Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter.
Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.
More Info
Job Type:
Industry:
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Key Skills
ML training and evaluation workflows
scalable system design
data pipelines
GenAI LLM application development
deployment observability
model pipelines
APIs and backend services
ML LLM framework
About Company
Skills:
Algorithms, Computer Vision, Debugging, data structures, Python, ML infrastructure, LLMs, Data Processing, GenAI techniques, model deployment, language modeling, model evaluation, Optimization, Multi-Modal Large Vision Models
Skills:
Orchestration, Django, React, Gcp, FastAPI, Azure, Python, multi-step reasoning, tool function calling, Vector databases, Svelte, Agentic AI, LLM APIs, RAG pipelines
Skills:
Java, Kafka, Redis, Rtp, Gcp, Docker, Postgres, MongoDB, Webrtc, Python, Kubernetes, AWS, ASR, LLMs, Voice AI, Pub Sub, TTS, vector DBs, SIP
Skills:
Testing, Kubernetes, Docker, Git, Information Retrieval, async programming, RAG pipelines, OpenAI, Crew.ai, NLP techniques, safety considerations, development frameworks, knowledge retrieval systems, embedding models, vector databases, RAG systems, LLM optimization techniques, LangChain, Anthropic, agent alignment, semantic search, Autogen, prompt engineering, Advanced Python programming
Skills:
AWS, Rtp, Grafana, Linux, Prometheus, Kubernetes, Python, Azure, Gcp, Terraform, PostgreSQL, Go, OpenTelemetry, Jaeger, SIP, Tempo