AI/ML Engineer – Production AI, LLM Systems

Volga Partners

. Design, develop, and deploy AI systems, including LLMs, RAG, agentic workflows, and ML/DL solutions .

Posted 11/7/2026full-timeRemote • IndiaMid-LevelSenior💰 ₹1,500,000 - ₹2,200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, developing, and deploying AI systems, with a strong focus on NLP fundamentals and model training using PyTorch or Keras. Proven ability to integrate AI into applications and optimize production-ready systems while collaborating with cross-functional teams.

Highest-signal resume keywords

AI/ML Engineering ExperienceNLP FundamentalsModel Training Using PyTorchProduction Experience With LLMsExperience With FastAPI

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI System DesignModel TrainingNLP TechniquesAPI DesignDebuggingSQL Database KnowledgeGenerative Model ArchitecturesFine-Tuning LLMsKubernetesCI/CD

Soft Skills

CollaborationTechnical CommunicationProblem-Solving

Tools & Technologies

PyTorchKerasFastAPIDockerAWSGCPAzureLangGraphLangChainModel-Serving Infrastructure

Industry Keywords

LLMsRAGEmbeddingsTokenizationNERInformation ExtractionTransformersVAEsResearch MethodsOpen-Source Contributions

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKerasKubernetesPyTorchSQL

About the role

Key responsibilities & impact

Design, develop, and deploy AI systems, including LLMs, RAG, agentic workflows, and ML/DL solutions
Select models and architectures while balancing accuracy, latency, cost, and complexity
Train and fine-tune models using PyTorch or Keras, including data preparation and evaluation
Implement and benchmark research methods before adoption
Build APIs, inference pipelines, and backend integrations
Own evaluation of metrics and track quality, latency, and cost
Monitor, debug, and optimize AI systems after launch
Ensure production readiness and identify regressions before they impact users
Partner with software engineers and product teams to integrate AI into applications
Contribute to technical discussions and decision-making
Document architecture, implementation approaches, and key technical decisions
Read and evaluate ML research papers
Implement promising methods and reproduce results where applicable
Adapt emerging techniques into production-ready systems
Contribute to continued innovation across AI and engineering initiatives
Collaborate with engineering leadership, product teams, software engineers, backend developers, and global AI research and development teams

Requirements

What you’ll need

3+ years of hands-on AI/ML engineering experience, with at least one system deployed to production
Strong NLP fundamentals, including tokenization, embeddings, classification, NER, and information extraction
Strong engineering skills across coding, Git, testing, API/system design, and debugging
Hands-on model training experience using PyTorch or Keras
Understanding of generative model architectures, including Transformers and VAEs
Production experience with LLMs, including RAG, embeddings/vector databases, and prompt/evaluation design
Experience with FastAPI or similar frameworks, Docker, and at least one cloud platform such as AWS, GCP, or Azure
Ability to read ML research papers and translate ideas into working code
Experience with LLM fine-tuning, including LoRA and RL-based methods
SQL database knowledge
Familiarity with agent frameworks such as LangGraph or LangChain
Experience with Kubernetes, CI/CD, and model-serving infrastructure
Open-source contributions or experience reproducing research results

Benefits

Comp & perks

Annual compensation of ₹15,00,000–₹22,00,000 (15–22 LPA), based on experience and technical expertise
Contract and payment administration facilitated through Deel
90-day probationary period
Benefits eligibility upon successful completion of probation
Paid Time Off (PTO) in accordance with company policy
Holiday pay for company-observed holidays
Career growth and professional development opportunities