AI Engineer

🔥 0 minutes ago

🇮🇳 India – Remote

💵 ₹1.5M - ₹2.2M / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Volga Partners

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Volga Partners is a technology services firm that specializes in Artificial Intelligence and Machine Learning solutions, data annotation and labeling, and development of customer service platforms powered by generative AI. The company also provides IT and software development services across web, app, full-stack, cybersecurity advisory, and e-commerce support, supported by a large multilingual crowd workforce and remote on-demand resources. Volga Partners focuses on partnering with enterprise clients to deliver scalable, cost-effective AI tooling, content moderation, linguistic services, and managed software projects.

📋 Description

• Design, build, and deploy production-ready Generative AI and LLM-powered applications • Develop chatbots, copilots, intelligent automation tools, and AI-assisted workflows • Build and optimize RAG pipelines using embeddings, vector search, and structured or unstructured data • Integrate LLM platforms such as OpenAI, Anthropic, Azure OpenAI, and similar providers • Develop backend services and APIs using Python, FastAPI, Flask, or similar frameworks • Design prompts, system instructions, and context-management strategies • Build scalable AI services from prototypes into production • Evaluate LLM outputs and improve quality, accuracy, latency, reliability, and cost • Monitor, troubleshoot, and optimize deployed AI systems • Implement evaluation, validation, guardrails, and error-handling strategies • Identify and resolve production issues and system regressions • Partner with engineering, product, operations, and business teams to translate requirements into practical AI solutions • Contribute to architecture decisions, technical discussions, and documentation • Stay current with Generative AI, LLMs, RAG, agentic AI, and emerging AI tooling • Evaluate and implement new AI models, frameworks, and techniques • Collaborate with engineering leadership, product teams, software engineers, backend developers, global AI research and development teams, and business stakeholders

🎯 Requirements

• 3+ years of software engineering, AI/ML engineering, or related development experience • Strong proficiency in Python • Practical experience building applications using LLMs • Hands-on experience with RAG, embeddings, semantic search, and vector databases • Experience integrating LLM APIs such as OpenAI, Anthropic, Azure OpenAI, or similar platforms • Understanding of prompt engineering, model behavior, context management, and LLM evaluation • Experience developing APIs or backend services using FastAPI, Flask, or similar frameworks • Strong software engineering fundamentals, including Git, REST APIs, testing, debugging, and system design • Familiarity with Docker and modern development practices • Ability to take an AI use case from requirements through development, testing, and deployment • Strong problem-solving skills and written/verbal English communication • Ability to work effectively in a fully remote, globally distributed team • Experience building production AI copilots, chatbots, agents, or intelligent automation systems • Experience with LangChain, LlamaIndex, LangGraph, or similar AI orchestration frameworks • Experience with Pinecone, Weaviate, Qdrant, FAISS, Chroma, or similar vector databases • Familiarity with agentic workflows, tool/function calling, and multi-step AI systems • Experience with LLM fine-tuning, LoRA, or similar techniques • Experience deploying AI applications in 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 • Comfortable working Monday through Friday, 7:00 AM–4:00 PM Pacific Time, corresponding to overnight hours in India • Ability to work occasional weekends or schedule adjustments when business needs require

🏖️ Benefits

• 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