Erekrut... Recruitment Made Easy
Website:
erekrut.com
Job details:
Position: AI/ML Developer
Location: Maharashtra
Key Responsibilities
AI Product Development
- Design, build, and deploy end-to-end AI-powered products using modern LLM architectures.
- Develop scalable and production-ready AI systems with strong reliability and performance.
- Convert business use cases into AI workflows and deployable solutions.
Agentic AI & Multi-Agent Systems
- Build multi-step reasoning agents for complex workflows.
- Develop tool-using autonomous AI agents integrated with APIs, databases, and business systems.
- Create multi-agent orchestration workflows for enterprise use cases.
RAG & Context Engineering
- Design and optimize Retrieval-Augmented Generation (RAG) systems.
- Build vector search pipelines, embeddings workflows, and context retrieval systems.
- Improve grounding, memory, relevance, and context management for LLM outputs.
Framework & Model Development
- Work with frameworks such as:
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- Fine-tune and integrate open-source / hosted LLM models.
Cloud & Infrastructure
- Deploy AI workloads on AWS / GCP / Azure.
- Manage containerized deployments using Docker and Kubernetes.
- Handle GPU deployments, scaling, optimization, and infrastructure reliability.
Prompt Engineering & LLM Optimization
- Build advanced prompting strategies beyond basic templates.
- Optimize prompts for reasoning, accuracy, tool calling, and consistency.
- Improve model outputs through iterative testing and evaluation frameworks.
AI Security & Reliability
- Implement AI security best practices including prompt injection defense, access control, and data privacy.
- Monitor LLM failures, hallucinations, drift, and runtime issues.
- Build safe, reliable AI systems for production environments.
Required Skills & Qualifications
Technical Skills
- Strong hands-on experience with AWS / GCP / Azure
- Expertise in Docker, Kubernetes, GPU Infrastructure
- Experience with LangChain / LangGraph / LlamaIndex / CrewAI
- Strong understanding of RAG, embeddings, vector databases
- Production deployment of AI systems at scale
- API integration and backend engineering skills
- Python programming expertise
Functional Skills
- Strong system design thinking
- Problem-solving and debugging skills
- Ability to optimize AI systems for performance and cost
- Strong communication and documentation skills
Click on Apply to know more.