- Minimum 5 years of professional software development experience, with significant hands-on exposure to AI/ML

- Strong programming skills (Python preferred; additional languages a plus) and solid grasp of software engineering fundamentals (data structures, APIs, testing, version control)

- Experience with LLMs, agent orchestration tools/frameworks (e.g., LangGraph, multi-agent orchestration, autonomous workflows), MCP, and RAG pipelines

- Experience with RAG systems (embeddings, vector stores, retrieval pipelines)

- Proficiency in SQL and hands-on experience with PostgreSQL (schema design, query optimization, transactional systems) and Snowflake (data warehousing, analytics, performance tuning)

- Familiarity with MCP (Model Context Protocol) building or integrating MCP servers/clients to connect AI agents with tools, data, and internal systems

- Experience with AI infrastructure (cloud platforms,



GPU/compute provisioning, MLOps pipelines)

- Ability to independently research, evaluate, and document tools/technologies

- Strong communication skills comfortable presenting technical concepts to varied audiences

- Self-driven with a proactive approach to identifying AI opportunities across the business
- Desired skills

- Experience with early/traditional NLP techniques (e.g., rule-based systems, TF-IDF, HMMs, n-gram models, classic POS tagging) in addition to up-to-date deep learning-based NLP — a strong added advantage

- Prior experience running internal tech talks, workshops, or communities of practice

- Exposure to scaling infrastructure for agentic AI and data workloads in production environments

📌 AI Engineer with Development Experienc (Telangana)
🏢 Religent Systems
📍 Telangana