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Home/Jobs/LLM Engineer (Large Language Models)
LLM Engineer (Large Language Models)
Fospe Software Private Limited
Bengaluru / Kochi
2 years
Today
$20.5K–32.5K/yr
Full-time
Onsite
Skills Required
LLM
RAG
LangChain
OpenAI
Anthropic Claude API
Gen AI
Prompt Engineering
Vector Database
LangGraph
CrewAI
AutoGen
Pinecone
Qdrant
Weaviate
Chroma
Description
Fospe is hiring an LLM Engineer to build, optimize, and deploy next-generation AI applications powered by large language models. The role centers on AI agents, RAG systems, prompt engineering, model optimization, and enterprise AI solutions.
Company: Fospe Software Private Limited
Role: LLM Engineer (Large Language Models)
Location: Bangalore & Kochi, India
Experience
- 2 years of software engineering experience
- Experience building production AI applications
- Strong understanding of modern LLM architectures and AI workflows
Responsibilities
- Design and develop AI-powered products using Anthropic Claude, OpenAI, Gemini, and open-source LLMs
- Work on AI agents, enterprise automation, knowledge systems, and advanced AI workflows
- Design and implement LLM-powered applications
- Build AI assistants, AI agents, and conversational systems
- Build Retrieval-Augmented Generation architectures
- Implement vector search and semantic retrieval solutions
- Design enterprise knowledge bases and AI search systems
- Optimize retrieval accuracy and response quality
- Develop autonomous and multi-agent systems
- Implement tool calling, memory, planning, and reasoning capabilities
- Build AI employees for sales, customer service, onboarding, and operations
- Integrate AI agents with external APIs and enterprise applications
- Optimize token consumption and inference costs
- Implement model selection and routing strategies
- Improve latency, scalability, and reliability
- Monitor AI performance and production metrics
- Develop AI services using Python
- Build REST APIs and AI microservices
- Integrate AI systems with web, mobile, and enterprise platforms
- Collaborate with product and engineering teams on deployment
- Convert business requirements into scalable AI solutions
Additional Responsibilities
- Build AI agents and AI employees
- Build enterprise knowledge systems
- Build AI-powered SaaS products
- Build customer support agents
- Build AI sales agents
- Build research and analysis assistants
- Build workflow automation platforms
- Build multi-agent business systems
Nice To Have
- Experience with LangGraph
- Experience with LangChain
- Experience with CrewAI
- Experience with AutoGen
- Experience with MCP (Model Context Protocol)
- Experience with Docker & Kubernetes
- Experience with AWS, Azure, or GCP
- Experience with AI evaluation frameworks
- Experience with fine-tuning and model customization
- Experience with workflow automation platforms
More Skills
Python, API Development, Git, GitHub, MCP (Model Context Protocol), Docker, Kubernetes, AWS, Azure, GCP, AI Evaluation Frameworks, Fine-tuning, Model Customization, Workflow Automation Platforms
Other
- Department: AI Product Engineering
- Market-competitive salary package
- Opportunity to work on cutting-edge AI technologies
- Global customer exposure
- Career growth in AI Product Engineering
- Flexible and innovation-driven work environment
- Job Category: Software
- Job Type: Full Time
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Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
Functions, Tools and Agents with LangChain
Coursera
Advanced LangChain covering function calling, tool use, and conversational agents.
Introduction to Generative AI
Coursera
Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.
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