Technical Lead

Established in the year 2000 in the US, we have global offices in the US, India, UK, Australia, Mexico, Vietnam, and Canada, with best-in-class infrastructure and development facilities spread across the globe. We are an end-to-end solution provider in Banking & Financial Services, Telecom, Healthcare, Manufacturing & Energy verticals and have successfully delivered $1 billion worth of projects for more than 20 Fortune 500 companies.

AI Engineer

4 years

Bangalore

Custom

Key Responsibilities
•Design and develop end-to-end web applications (frontend + backend + APIs)
•Build responsive UI using frameworks like React / Angular / Next.js
• Develop backend services using Python / Node.js / Java / FastAPI
• Develop high-performance REST APIs using FastAPI
.• Ensure
:• Security
• Scalability
• Compliance
• Implement prompt engineering, prompt versioning, and optimization
• Develop RAG (Retrieval-Augmented Generation) pipelines
• Build and deploy AI-driven products and workflows (automation agents, NLP systems)
• Handle data ingestion, preprocessing, and embeddings pipelines• Automate:• Case processing• Narrative generation
• Data extraction & validation• Ensure accuracy, latency, and cost optimization of AI systems
• Deploy applications on AWS• Containerize applications using Docker and Kubernetes
• Build CI/CD pipelines and MLOps/LLMOps workflows• Ensure high availability, security, and scalability
• Work with Product, UX, Data Science, and Engineering teams
•Participate in architecture discussions and design reviews
• Ensure compliance with AI governance, security, and data privacy standards
• Document system architecture, APIs, and AI workflows
3. Required Skills•
Frontend: FastAPI (must-have), Python, REST Framework
• Backend: Python (FastAPI/Flask), Node.js, Java (Spring Boot)
• Databases: PostgreSQL, MySQL, MongoDB• Strong understanding of• Large Language Models - Gemini / Claude
• Prompt Engineering (CoT, Few-shot, Structured prompting)• RAG systems, embeddings, and vector search• Experience with frameworks:
• LangChain, LlamaIndex, LangGraph, AutoGen, Strands (preferred)
• Knowledge of
:• Model evaluation, hallucination handling, output validation
• Basic understanding of
:• Machine learning & NLP concepts
• Data preprocessing and feature engineering
• Experience with Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow (good to have)
• Experience with AWS Services• Containerization (Docker) and orchestration (Kubernetes)
• CI/CD pipelines and deployment automation• Strong problem-solving and system design skills
4. Experience & Qualifications
• Bachelor’s/Master’s in Computer Science or related field
• 4–6 years of full-stack development experience
• 2+ years of hands-on experience in GenAI/LLM-based applications
• Experience building production-grade AI solutions preferred 

FastAPI (must-have), Python, REST Framework• Backend: Python (FastAPI/Flask), Node.js, Java (Spring Boot)• Databases: PostgreSQL, MySQL, MongoDB• Strong understanding of• Large Language Models - Gemini / Claude• Prompt Engineering (CoT, Few-shot, Structured prompting)• RAG systems, embeddings, and vector search• Experience with frameworks:• LangChain, LlamaIndex, LangGraph, AutoGen, Strands (preferred) 

Good communication skills
Job Knowledge

B.Tech