LogoFresh Jobs Ahead
Volga Partners
Volga Partners
1,001 – 5,000 Employees
H1B Visa SponsorArtificial IntelligenceB2BEnterprise
Volga Partners is an enterprise technology services firm focused on artificial intelligence, machine learning, and software delivery. Its work includes data annotation and labeling, content moderation, linguistic services, generative AI customer service platforms, and IT projects spanning web, mobile, full-stack development, cybersecurity advisory, and e-commerce. The company supports these services through a large multilingual crowd workforce and remote, on-demand resources, helping enterprise clients develop and manage scalable AI and software solutions.
LinkedIn
Company Jobs

AI Engineer – Generative AI and LLM (Remote, India)

Build production Generative AI, LLM, and RAG solutions at Volga Partners. Develop scalable AI applications, APIs, and automation tools for global clients.

INIndia
₹1,500,000 – ₹2,200,000 / year
RemoteFull-timeMiddleSeniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureDockerFlaskGoogle Cloud PlatformKubernetesPythonSQL

Description

  • Create, develop, and deploy production-ready applications powered by Generative AI and LLMs
  • Build chatbots, copilots, intelligent automation tools, and AI-enabled workflows
  • Develop and improve RAG pipelines using embeddings, vector search, and structured and unstructured data
  • Connect applications with OpenAI, Anthropic, Azure OpenAI, and comparable LLM platforms
  • Create backend services and APIs with Python, FastAPI, Flask, or comparable frameworks
  • Develop prompts, system instructions, and strategies for managing context
  • Scale AI services from initial prototypes through production deployment
  • Assess LLM responses and improve quality, accuracy, speed, reliability, and cost efficiency
  • Monitor, diagnose, and optimize AI systems running in production
  • Introduce evaluation, validation, guardrail, and error-management processes
  • Investigate and fix production defects and system regressions
  • Work with engineering, product, operations, and business teams to turn requirements into practical AI solutions
  • Support architecture decisions, technical reviews, and project documentation
  • Keep current with Generative AI, LLMs, RAG, agentic AI, and emerging AI tools
  • Assess and adopt new AI models, frameworks, and implementation techniques
  • Work alongside engineering leaders, product teams, software and backend engineers, global AI research and development teams, and business stakeholders

Requirements

  • At least three years of experience in software engineering, AI/ML engineering, or a related development field
  • Advanced proficiency in Python
  • Hands-on experience creating applications with LLMs
  • Practical experience with RAG, embeddings, semantic search, and vector databases
  • Experience connecting applications to OpenAI, Anthropic, Azure OpenAI, or comparable LLM APIs
  • Working knowledge of prompt engineering, model behavior, context management, and LLM evaluation
  • Experience building APIs or backend services with FastAPI, Flask, or similar frameworks
  • Solid software engineering fundamentals, including Git, REST APIs, testing, debugging, and system design
  • Familiarity with Docker and contemporary development practices
  • Ability to carry an AI use case from requirements through development, testing, and deployment
  • Strong analytical, problem-solving, written, and verbal English communication skills
  • Ability to collaborate effectively in a fully remote, globally distributed team
  • Experience delivering production AI copilots, chatbots, agents, or intelligent automation systems
  • Experience using LangChain, LlamaIndex, LangGraph, or comparable AI orchestration frameworks
  • Experience with Pinecone, Weaviate, Qdrant, FAISS, Chroma, or comparable vector databases
  • Familiarity with agentic workflows, tool or function calling, and multi-step AI systems
  • Experience with LLM fine-tuning, LoRA, or related methods
  • Experience deploying AI applications on AWS, Azure, or GCP
  • Familiarity with model monitoring, evaluation frameworks, guardrails, and responsible AI practices
  • Experience with SQL, CI/CD, Kubernetes, or model-serving infrastructure
  • Availability Monday through Friday from 7:00 AM to 4:00 PM Pacific Time, which corresponds to overnight hours in India
  • Willingness to work occasional weekends or adjust schedules when business requirements call for it

Benefits

  • Contract and payment administration managed through Deel
  • A 90-day probationary period
  • Eligibility for benefits after successfully completing probation
  • Paid time off under company policy
  • Paid company-observed holidays
  • Opportunities for career advancement and professional development

Related Jobs