AI Engineer | Fulltime

Actively Reviewing the Applications

AiFA Labs

India, Telangana, Hyderabad Full-Time

Posted 1 day ago • Apply by June 30, 2026

Job Description

Job Description

We are seeking highly experienced Senior AI/ML Engineers (6+ years) to design, build, and deploy next-generation Agentic AI and Generative AI solutions. The ideal candidate will have strong hands-on expertise in LLM application development, particularly using LangChain, LangGraph, RAG, and Graph RAG frameworks, along with advanced Python engineering skills.

This role is suited for professionals who have built real-world AI products and can drive innovation in fast-paced enterprise environments.

Location: India — On-site | Role: Full-time | Team: Engineering & Product

Key Responsibilities

Design and develop scalable Agentic AI solutions, including multi-agent workflows and autonomous AI systems.
Build and optimize RAG pipelines, including advanced implementations such as Graph RAG for enterprise knowledge retrieval.
Develop LLM-powered applications using: LangChain / LangGraph / Vector databases and retrieval frameworks
Rapidly prototype and deploy AI services using FastAPI and modern Python frameworks.
Work with cutting-edge AI ecosystems including: OpenAI APIs / Hugging Face Transformers / PyTorch
Collaborate with cross-functional teams to translate business needs into AI-driven technical solutions.
Lead solution development for client-facing AI transformation initiatives.
Mentor junior engineers and contribute to building a strong AI innovation culture.
Stay current with the latest advancements in Agentic AI, LLM orchestration, and retrieval architectures.

Key Skills & Qualifications

6+ years of professional experience in AI/ML engineering (candidates below this experience level will not be considered).
Strong proficiency in Python (advanced level required).
Proven expertise in:

LangChain, LangGraph, RAG implementations, Graph RAG.

Knowledge Graph-based AI systems
Solid foundation in Machine Learning, Deep Learning, and NLP.
Experience deploying AI/ML solutions on cloud platforms such as AWS, Azure, or GCP.
Strong product-building mind-set with the ability to deliver production-grade AI systems.
Comfortable working in environments requiring fast execution, experimentation, and continuous learning.
Client-facing experience and technical leadership are strong pluses.

Why This Role?

Work on cutting-edge Agentic AI + Enterprise GenAI systems
Opportunity to build scalable, real-world AI products using LangGraph + Graph RAG
High-impact role with strong ownership and innovation culture

Benefits & Culture Highlights

Work on end-to-end AI products with direct ownership and impact on production systems.
Collaborative, research-informed engineering culture with mentorship and career growth opportunities.
Competitive compensation, focused learning budget, and exposure to cutting-edge MLOps tooling.

Skills: ml,docker,kubernetes,python,sql,pytorch,tensorflow